D6.6 Final Conference

Towards a sustainable Open Data ECOsystem D6.6 Final Conference This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. The opinions expressed in this document reflect only the author’s view and in no way reflect the European Commission’s opinions. The European Commission is not responsible for any use that may be made of the information it contains. D6.6 Final conference Project Acronym ODECO Project Title Towards a sustainable Open Data ECOsystem Grant Agreement No. 955569 Start date of Project 01 - 10 - 2021 Duration of the Project 48 months Deliverable Number D 6.6 Deliverable Title Final Conference Dissemination Level Public Deliverable Leader Farosnet Single Member S.A. Submission Date 03-07-2025 Author Manolis Ktistakis (Farosnet) Co-author(s) An. Fourlis, G. Papageorgiou (Farosnet) Document history Version # Date Description (Section, page number) Author & Organisation V0.1 26-06-2025 First draft Manolis Ktistakis (Farosnet), Antonis Fourlis (Farosnet), Georgios. Papageorgiou (Farosnet) V0.1a 27-06-2025 Review Charalampos (Harris) Alexopoulos (UAEGEAN) Danitsja van Heusden (TY Delft) V0.2 27-06-2025 Second draft. Processed feedback obtained from the peer review process. Manolis Ktistakis (Farosnet), Antonis Fourlis (Farosnet), Georgios. Papageorgiou (Farosnet) V0.2a 01-07-2025 Review Danitsja van Heusden (TU Delft) V0.3 02-07-2025 Final report Manolis Ktistakis (Farosnet), Georgios. Papageorgiou (Farosnet) V 1.0 03 - 07 - 2025 Approval Danitsja van Heusden (T U Delft) D6.6 Final Conference Table of Contents Abbreviations ..................................................................................................................................................................... 5 1 Introduction ............................................................................................................................................................... 6 1.1 Final Conference Objectives................................................................................................................... 6 1.2 Setup of the program ............................................................................................................................... 6 1.3 Location.......................................................................................................................................................... 7 1.4 Organization and involvement of the ESRs ..................................................................................... 9 1.5 Public engagement, social impact and dissemination ................................................................ 9 1.5.1 Public Engagement and Social impact ......................................................................................... 9 1.5.2 Dissemination.......................................................................................................................................10 2 Day 1 ..........................................................................................................................................................................12 2.1 Objectives, activities, assignments, and program .......................................................................12 2.2 Evaluation of Day 1 ..................................................................................................................................14 3 Day 2 ..........................................................................................................................................................................16 3.1 Objectives, activities, assignments, and program .......................................................................16 3.2 Evaluation of Day 2 ..................................................................................................................................19 4 Day 3 ..........................................................................................................................................................................22 4.1 Objectives, activities, assignments, and program .......................................................................22 4.2 Evaluation of Day 3 ..................................................................................................................................23 5 Participation and attendance ...........................................................................................................................25 5.1 Overall ...........................................................................................................................................................25 5.2 Day 1 .............................................................................................................................................................25 5.3 Day 2 .............................................................................................................................................................25 5.4 Day 3 .............................................................................................................................................................25 Annex 1 - List of attendees .........................................................................................................................................26 Annex 2 – Presentations ..............................................................................................................................................31 Annex 3 – Posters ...........................................................................................................................................................32 Annex 4 – Practical recommendations ...................................................................................................................33 List of figures Figure 1: Mapped areas selected around the Athens BC hotel. ..................................................................... 8 Figure 2: Olympia Meeting Room – Stratos Vassilikos Hotel. ......................................................................... 8 Figure 3:Picture from the Final Conference page on the ODECO site .......................................................11 Figure 4: Pictures from the introduction and mapping ...................................................................................13 Figure 5: Pictures from the Café Avissinia dinner ..............................................................................................15 Figure 6: Pictures from the Presentations of ESRs .............................................................................................18 Figure 7: Pictures from round table discussions ................................................................................................21 Figure 8: Pictures from Speakers ..............................................................................................................................24 D6.6 Final Conference List of tables Table 1: List of invited Organisations ......................................................................................................................10 Table 2: Program Day 1 ................................................................................................................................................14 Table 3: Program Day 2 ................................................................................................................................................18 Table 4: Program Day 3 ................................................................................................................................................22 D6.6 Final Conference 5 Abbreviations D Deliverable ESR Early-Stage Researcher ODECO Open Data ECOsystem NGOs Non-Governmental Organisations Nr Partner Partner short name Country Beneficiary 1 Technische Universiteit Delft TU Delft Netherlands 2 Katholieke Universiteit Leuven KUL Belgium 3 Centre National de la Recherche Scientifique CNRS France 4 Universidad de Zaragoza UNIZAR Spain 5 Panepistimio Aigaiou UAEGEAN Greece 6 Aalborg Universitet AAU Denmark 7 Università degli Studi di Camerino UNICAM Italy 8 Farosnet S.A. FAROSNET S.A. Greece Partner organisations 1 7eData 7EDATA Spain 2 Digitaal Vlaanderen DV Belgium 3 City of Copenhagen COP Denmark 4 City of Rotterdam RDAM Netherlands 5 CoC Playful Minds CoC Denmark 6 Derilinx DERI Ireland 7 ESRI ESRI Netherlands 8 Maggioli S.p.A MAG Italy 9 National Centre of Geographic Information CNIG Spain 10 Open Knowledge Belgium OKB Belgium 11 SWECO SWECO Netherlands 12 The government lab GLAB United States of America 13 Agency for Data Supply and Infrastructure ADSI Denmark 14 GFOSS Open Technologies Alliance GFOSS Greece 15 Inno3 Consulting IC France 16 Regione Marche RM Italy 17 Open Data Institute OCI United Kingdom 18 Swedish National Archives SwNA Sweden D6.6 Final Conference 6 1 Introduction 1.1 Final Conference Objectives The ODECO Final Conference marks the culmination of a 4-year EU funded Horizon 2020 Marie Skłodowska-Curie Innovative Training Network initiative. It was organized by Farosnet S.A. with the assistance of the Delft University of Technology and the University of Aegean. ODECO beneficiaries agreed in organizing the conference in two different locations in the city of Athens, Greece in the 3-day period between May 14th-16th, 2025. In defining the program of the week, the following relevant objectives were considered: 1. The best possible presentation of the results of the ODECO project and its Early-Stage Researchers (ESRs) to three separate groups, namely: a. the general public; b. the scientific community and; c. professionals. 2. The feedback that was received from the beneficiaries and especially the ESRs in relation to what they expected to achieve out of the event. 3. The overall involvement of the ESRs in the organization of the different aspects and days of the final conference. 4. The maximization of public engagement, attendance and social impact of the activities, especially in the day that regarded the general public. 5. Prioritization of the involvement of external actors and ODECO partners to permit the exchange of ideas with people not involved in the ODECO project, but with experience either in Open Data or in specific aspects of the organized activities. 6. The increase of public awareness for the ODECO project through the creation and dissemination of content through the social media of ODECO. 7. A social event was included in the planning to enable the ESRs and their supervisors to enjoy their final major gathering as a celebration of their common efforts to advance Open Data research leading to the creation of an Open Data Ecosystem. In the following sections the details of the Final Conference and its results are examined. 1.2 Setup of the program The program was divided in 3 different days: 1. The first day was dedicated to the involvement of the general public in the Final Conference. This was done through the selection of a mapping event that would increase the social impact of ODECO and also spread awareness about open data and the role they can play in the wider community of people, especially to people that are not involved in open data in their daily life. More specifically, the organization committee along with the ODECO ERSs, after examining various different ideas, decided that the best approach to engaging the wider public in an open data related activity and achieving social impact was mapping an area around the ancient site of the acropolis of Athens. This is an area that receives hundreds of thousands of visitors and tourists each year. The idea that prevailed was to examine how accessible it is for people with disabilities and map the data on Open Street Maps (i.e. an open repository), so it is freely accessible for all future visitors that have interest in such data. 2. The second day of the Final Conference, which was a full day, was devoted entirely to the ESRs and the presentation of their research to the scientific community. The presentations were structured in3 major thematic groups: “Open data ecosystems beyond open government data”, “Emerging technologies for open data” and “Power dynamics in the generation, use and regulation of open data”. After the presentations of the ESRs comprising each thematic group, panel discussions were organized, where the main research proposals of each ESRs D6.6 Final Conference 7 were further discussed with the participation of the members of the audience. These discussions were carried out first into five smaller “break away” groups (including a hybrid group for those attending through the internet) and then the main points discussed by each “break away” group were presented to the wider audience. The aim of this process was: a) To further embed the key take aways of the research of each ESR to the academic community and the attendees. b) To “test” and enrich them through discussions with the audience. In the end, our intention was to highlight the diverse aspects into the open data world that each ERS “brought to the table” through the lens of his/her individual doctoral research. c) To combine them in a multi-disciplinary academic approach addressing current and future challenges in the creation of a user driven, circular and inclusive Open Data Ecosystem. 3. The third day of the Final Conference of ODECO was dedicated to professionals and experts (both from the government and the private sector) working daily with open data mainly in Greece, but also in EU level. They presented the work they do to the audience and shared their experience with open data, their plans and expected developments in this field and accepted questions from our ESRs, ODECO professors and other attendees. Through engaging with government representatives, industrial experts, practitioners in the field and policy makers, participants reflected on the ODECO project’s outcomes and discussed future strategies for advancing open data ecosystems. This session offered valuable insights into evolving open data governance models and their implications for public policy and business practices. Finally, issues related to the job market in general and in particular to open data scientists were discussed with an industry expert. 1.3 Location Due to the different themes of the 3 days of the conference, two different venues were elected. More specifically, as venue for the 1st day of the conference the Coco-mat Athens BC hotel (located on Falirou 5, Athens 117 42) was elected, since it was situated in the ideal location for the activities related to the mapping event around the Acropolis of Athens, see Figure 1, as it is literally located next to the museum of Acropolis and in the epicentre of the area the mapping event focused on. The venue was also accessible for people with disabilities (that were using for example wheelchairs or walking canes etc), which was important, as the 1st day workshop was focused on this specific group of people. The convenient location of the Coco-mat Athens BC Hotel allowed the five different teams that were designated to carry out the mapping of the five areas next to the Acropolis site, to commute in a short amount of time between the hotel and the areas that they were covering and then back to the hotel. This, in turn, allowed enough time to first brief everyone on what needed to be done and how to use the materials and tools provided for doing the mapping and what the aims of the mapping exercise were. Then, when the “on the spot” mapping exercise was concluded, everybody had time to reconvene back at the hotel and discuss their experiences. D6.6 Final Conference 8 Figure 1: Mapped areas selected around the Athens BC hotel. The 2nd and 3rd day of the Final Conference were carried out in the Airotel Stavros Vassilikos Hotel (114 Michalakopoulou St., 11527 Athens). The location was convenient, near the centre of Athens, but not in the city centre that can be problematic to access from time to time (in case there are demonstrations etc). The Stratos Vassilicos Hotel is located close to the “Megaro Mousikis” metro station and other public transportation. The Olympia Meeting room, see Figure 2, that was used for the purposes of the ODECO Final conference can accommodate up to 110 people and offered all the necessary amenities that were required for the conference (WIFI - Air conditioning - Microphone - Display/LCD/Video projection capabilities). Figure 2: Olympia Meeting Room – Stratos Vassilikos Hotel. D6.6 Final Conference 9 As the organization committee wanted to attract as many attendees as possible, it elected to organize the 2nd and 3rd day not only physically, but to also allow anyone that wanted to attend the ODECO final conference online hybrid attendance (by using MS Teams). Therefore, hybrid meeting capabilities were offered for the Final Conference through engaging a specialized company that offered the necessary audio-visual equipment. 1.4 Organization and involvement of the ESRs Since the Final Conference of ODECO was closely related to the doctoral research that the 15 ESRs of the program had undertaken, it was self-explanatory that the ESRs would also be hugely involved in the preparation and execution of the Final Conference itself, which in turn would be structured in a way that would showcase their work and achievements. In fact, in the preparatory meetings that took place in advance of the Conference, the ESRs requested that they be on the “spotlight” i.e. that the focus of the conference was on them. Based on these instructions the schedule itself was arranged in such a manner that the central (2nd) day of the conference, which was the longest of the conference days, was devoted exclusively to the ESRs to give them ample time to present their research and proposals for the creation of a user driven, circular and inclusive Open Data Ecosystem to the scientific community. In order to help achieve this goal, besides their presentations, all the ESRs were also asked to prepare a visual representation of the key findings of their research, which was synthesized in a big banner that was presented in the conference room during the 2nd and 3rd day of the conference (as presented in Annex 3). These posters were also used as the drivers of the discussion between the ESRs and the audience and generally played a pivotal role in the conference organizational process. Additionally, the ESRs took it upon themselves to be the hosts of the 2nd day, and acted as moderators of the sessions, leaders of the break-away round tables, reporters of the discussed issues in them and originators of questions and discussions points. The assistance of a select group of ESRs was also paramount in the planning and organization of the public outreach activities of the 1st day of the conference, in organizing first the preparatory workshop for it and then the actual day itself, in explaining to the audience what needed to be done and what was the purpose of the day, in leading the mapping teams and in the end in discussing the findings with the audience. Finally, the ESRs played a major role in the 3rd day by asking questions and exchanging views with the speakers both officially but also networking with them during the breaks. 1.5 Public engagement, social impact and dissemination The overall public engagement and social impact of the Final Conference were very important to the organizers and the ESRs. Additionally, steps were taken to increase the dissemination and the legacy of the project with are described below. 1.5.1 Public Engagement and Social impact Public engagement was sought in various different manners throughout the Final Conference. This was even more evident in relation to the first day of the event that was actually targeted to the public and its involvement in the ODECO project. The theme of the 1st day itself was elected by the ERSs (after discussions and various suggestions by the organizers). Its focus was on a matter that touches hundreds if not thousands of visitors that are moving around the touristically important area of the Acropolis of Athens. These visitors may be facing significant difficulties if the area, the shops and even public infrastructure does not cater to their needs. The ESRs that were involved in the organization of the 1st day reached out to numerous NonGovernmental Organisations (NGOs) and other organizations of people with disabilities and moving impairments and requested their presence and participation in the event. The organisation D6.6 Final Conference 16 3 Day 2 3.1 Objectives, activities, assignments, and program The second day of the conference was dedicated to the ESRs and the presentation of their academic research. The main objective was to provide the ESRs an opportunity to present all together the work they did during their time in the ODECO project to a wider audience. Moreover, the conference was not only limited to presentations and Q&A sessions as most academic conferences. The ESRs were split into three groups based on the domain of their research, namely “Open data ecosystems beyond open government data”, “Emerging technologies for open data” and “Power dynamics in the generation, use and regulation of open data”. Then, when the ESRs of each group presented their work, the attendees were split into 5 tables where they had the opportunity to collect feedback and discuss their research proposal of the ESRs with them and their supervisors of ODECO. Then, one ESR from each group that was keeping notes, presented the discussion outcomes to the whole room during a reflection session where all the participants of the conference could participate. After the welcome and the registration of the attendees, the day opened at 9:20h with a welcome remark by Prof. Bastiaan van Loenen, the scientific coordinator of the ODECO project, which was followed by a speech by Mr. Sakaretsios Stilianos, who is the president of the board of directors of the Greek land registry (on behalf of the Greek Ministry of Digital Governance). Thereafter from 9.30h to 11:25h the first group of ERS presented their research accomplishments and proposals in the fields of “Open data ecosystems beyond open government data” that was each followed by a table discussion and reflection session in the manner discussed above. At 11:25h the second group of ESRs presented their research results and proposal regarding “Emerging technologies for open data”. At 12:25h, the event broke for one hour for lunch and was resumed with the table discussion and reflection session for the 2nd group. After, on 14:10h the 3rd group of ESR presentations regarding “Power dynamics in the generation, use and regulation of open data”. Pictures from the presentations of ERSs can be found below on Figure 6. D6.6 Final Conference 17 D6.6 Final Conference 18 Figure 6: Pictures from the Presentations of ESRs Finally, in section 4 that started at 16:15h, ESR Ramya Chandrasekhar presented the work she compiled with Prof. Mélanie Dulong de Rosnay entitled "Recommendations for Sustainable Open Data Ecosystems," as a final chapter for discussion on the work that was conducted by all the members of the ODECO consortium. A more detailed programme of Day 2 can be found in Table 3 below. Table 3: Program Day 2 Time Activity Speaker 09:00 – 09:20 Registration and Morning Coffee 09:20 – 09:30 Welcome remarks Dr. Bastiaan van Loenen, Delft University of Technology 09:30 – 09:45 Open data in government Sakaretsios Stilianos, President of the BoD of the Greek land registry D6.6 Final Conference 19 Time Activity Speaker 09:45 – 10:45 Session 1: Open data ecosystems beyond open government data - Ashraf Shaharudin (ESR15) - Giorgos Papageorgiou (ESR09) - Héctor Ochoa Ortiz (ESR13) - Mohsan Ali (ESR05) - Liubov Pilshchikova (ESR11) 10:45 – 11:15 Table discussion session 1 accompanied by coffee 11:15 – 11:25 Reflection Session 1 11:25 – 12:45 Session 2: Emerging technologies for open data - Ioanna Maratsi (ESR07) - Dagoberto Herrera (ESR02) - Umair Ahmed (ESR14) - Alejandra Celis Vargas (ESR10) - Abdul Aziz (ESR08) 12:25 – 13:30 Lunch 13:30 – 14:00 Table discussion session 2 accompanied by coffee 14:00 – 14:10 Reflection Session 2 14:10 – 15:10 Session 3: Power dynamics in the generation, use and regulation of open data - Silvia Cazacu-Bucica (ESR03) - Caterina Santoro (ESR12) - Ramya Chandrasekhar (ESR04) - Malena Lopez Reyes (ESR06) 15:10 – 15:25 Short Break 15:25 – 15:55 Table discussion session 3 accompanied by coffee 15:55 – 16:15 Reflection Session 3 16:15 – 17:35 Session 4: Looking back to plan for the future 17:35 – 18:00 Closing remarks 3.2 Evaluation of Day 2  The ERSs and their supervisors were satisfied with the presentations and the discussions.  It was obvious to all supervisors, who have monitored the progress of the ESRs throughout the course of the ODECO project, that all ESRs have mastered their respective areas of research and that their presentations and knowledge have evolved significantly during the last years. The presentations of the ESRs can be found in Annex 2.  The table discussions and reflections were very useful and the proposals of the ERSs played a vital role in shaping the discussions.  Generally, there was intense interest from the participants and the supervisors in the findings the ESRs presented, not only during the Q&A of each presentation but also at the round table where the ESRs received feedback from the participants and the supervisors.  ERSs played a big part in the day, which was focused on them and their achievements.  In the end, the diverse aspects into the open data research that each ERS’s research contributed helped attendees and participants form a multi-disciplinary perspective into open data and the challenges of creating open data ecosystems. Pictures from the presentations of the speakers can be found in Figure 7 below and their presentations have been included in Annex 2. D6.6 Final Conference 20 D6.6 Final Conference 21 Figure 7: Pictures from round table discussions D6.6 Final Conference 22 4 Day 3 4.1 Objectives, activities, assignments, and program The third day of the conference was focused on professionals from both from the government and the private sector. These professionals are working with open data in their daily work mainly in the Greek government, but also in EU and international level. They presented their experience, developments in their field and plans to our audience and accepted questions from our ESRs, ODECO professors and other attendees. The day started at 9:00h with an opening remark from Prof. Bastiaan Van Loenen and a keynote by Ms. Els Breedstraet from the Open Data Innovation and Outreach Publications Office of the European Union. After that, the day continued with presentations from the Greek Ministry of Digital Governance (Mr. Antonios Stasis), the Municipality of Athens (Mr. Ioannis Fytros), the Cental Bank of Greece (Mr. Spyridon Gardikiotis), the Greek land registry (Dr. Panagiotis Lolonis), the Greek Ministry of Health (Mr. Ioannis Faropoulos) and finally by Mr. Alexandros Fourlis, Senior Vice President & General Manager of Veritone Hire, an international HR and consulting company. Pictures from the presentations of the speakers can be found in Figure 8 below and their presentations have been included in Annex 2. The day was finalised with networking drinks and interesting discussions between the speakers, the ERSs, the professors and the attendees. A detailed program of the 3rd day can be found on Table 4 below. Table 4: Program Day 3 Time Activity Speaker 09:30 – 09:45 Opening remark Bastiaan van Loenen, Delft University of Technology 09: 45 – 10 : 15 Keynote Els Breedstraet, Head of Open Data Innovation and Outreach, Publications Office of the European Union, European Commission 10:15 – 10:35 Open data in government Ioannis Fytros, Coordinator of Open Government Partnership Initiative, City of Athens 10:35 – 10:55 Open data in government Antonios Stasis, Director General of Digital Governance 10:55 – 11:15 Coffee Break 11:15 – 11:30 Open Data in business Spyridon Gardikiotis, Director, Bank of Greece 11:30 – 12:00 Open Data in the Greek land registry Dr. Panagiotis Lolonis, Head of the Directorate of Geospatial Information, Hellenic Land Registry 12:00 – 12:30 Open Data in health Mr. Giannis Faropoulos, Advisor to the Deputy Minister of Health 12:30 – 13:00 Open Data in the workforce Mr. Alexandros Fourlis, Senior Vice President & General Manager, Veritone Hire 13:00 – 13:30 Networking drinks D6.6 Final Conference 23 4.2 Evaluation of Day 3  All presentations were interesting and helped ERSs and participants gain new perspectives into various sectors of Open data on Greek, EU and international level.  The various guests that presented are distinguished in their fields and honoured ODECO with their presence in our Final Conference.  The ESRs posed questions, and many interesting discussions ensued especially about the implementation of open data policies in different counties of the EU.  A key outcome was that not all organisations are progressing with the same speed in innovations regarding open data and there is a gap between government and private sector, as well as between EU directives and their local implementation.  According to our HR expert, the professional perspectives for open data professionals are very good with high demand in this field of work.  Due to the extensive and insightful questions from the ESRs during the Q&A sessions, one speaker slot had to be cancelled to make time to accommodate these in-depth discussions about the practical applications of open data. D6.6 Final Conference 24 Figure 8: Pictures from Speakers D6.6 Final Conference 25 5 Participation and attendance 5.1 Overall The participation in the ODECO Final conference is deemed satisfactory, especially during the 1st day that was dedicated to the General Public. Overall, 106 people were registered and 62 participated in the 3 days of the conference. A List of attendees can be found on Annex 1. 5.2 Day 1 59 people were registered and 41 participated during the 1st day. 5.3 Day 2 95 people were registered and 40 participated during the 2nd day. 5.4 Day 3 105 people were registered and 46 participated during the 3rd day. 3-7-2025 1 Mapping Hidden Stories: reflecting on pedestrian accessibility in Athens ODECO Final Conference – Day 1 14 May 2025 – Athens, Greece This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. The ODECO Consortium welcomes you! 1 2 3-7-2025 2 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Day 1: Mapping Hidden Stories: reflecting on pedestrian accessibility in Athens Wednesday 14 May 2025 The first day will be centered around an attempt to map and enhance accessibility in the very popular archaeological and touristic areas in Athens and specifically around the Acropolis area, particularly for pedestrians with mobility-impairments, such as the elderly and people with disabilities. This session features a hands-on mapping exercise designed to identify accessibility gaps and determine the data needed for better navigation. By engaging stakeholders in this process, the event aims to shape research outcomes and promote more inclusive data practices, ultimately leaving a lasting impact on future visitors. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. ODECO – Open Data Data is the new oil Open vs. Closed data Open Data is available •Free of charge •Openly licensed •Machine-readable format •Reusable 3 4 3-7-2025 3 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. ODECO goal •To make Open Data Ecosystems sustainable This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Open Data – Exclusive →Inclusive Data should fit the needs of everyone Maps are representations of our world, that fit certain views We need to make maps that reflect realities not often represented 5 6 3-7-2025 4 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Program 13:00 – 13:30: Welcome & Introduction 13:30 – 15:30: Mapping session 15:30 – 16:00: Discussion & Reflection 16:00 – 17:00: Closure & Networking This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Introduction to the mapping exercise 7 8 3-7-2025 5 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. What to map Look for ramps, wide doors, and clear paths. Consider barriers like narrow doorways, uneven pavements and other obstacles that can impede movement. https://commons.wikimedia.org/wiki/File:Road_Curb.JPG by Michelle Arseneault under CC-BY-SA This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. What to map Look for tactile paving, audible signals, and obstacle-free paths Consider hidden obstacles and that signage is accessible and visible https://commons.wikimedia.org/wiki/File:Gvidsistemo_por_blinduloj.jpg by Tokfo under CC-0 9 10 3-7-2025 6 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. What to map https://commons.wikimedia.org/wiki/File:Caesar%27s_restaurant_interior_2019.jpg by Keizersunder CC-BY-SA Look for quiet spaces and areas free from sensory overload. Consider noise levels, visual distractions, and comfort zones to find peace. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. What to map – Other kinetic impairments https://commons.wikimedia.org/wiki/File:Victoria_Centennial_Fountain,_Victoria,_British_Columbia,_Can ada_13.jpg by Michal Klajban under CC-BY-SA Look for resting spots, smooth paths, and easy navigation. Consider areas that are comfortable and accessible, reducing the need for excessive physical effort. 11 12 3-7-2025 7 What to map This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Streets and street furniture https://commons.wikimedia.org/wiki/File:Tree_awkwardly_in_the_middle_of_the_sidewalk_(42145762760).jpg by Eric Fischer under CC-BY https://commons.wikimedia.org/wiki/File:High_Street-_giant_flower_pot_-_geograph.org.uk_-_2638533.jpg by Basher Eyre under CC-BY-SA Businesses https://commons.wikimedia.org/wiki/File:20211031_athenes046.jpg by Jean Housen under CC-BY-SA This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Mapping Area - Groups •5 groups •Around the Acropolis Museum •Map slowly, the more detail the better! •No need to finish the whole area •Don't add details you cannot verify – better no data than wrong data •Don't copy from other maps 13 14 3-7-2025 8 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Tools – Every Door This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Tools - Baba 15 16 3-7-2025 9 Tools - Pen & paper This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. OpenStreetMap account (Every Door & Baba) osm.org ↓ Sign up 17 18 3-7-2025 10 Questions? Ερωτήσεις; This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Mapping session in the Athens Acropolis area 19 20 3-7-2025 17 33 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Conclusion This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. From inclusion to equity Inclusion is a static concept (we are included in what already exist), while equity is a dynamic one (we change power structures, we change reality) This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Closure & Networking 33 34 3-7-2025 18 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Networking drinks This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Thank you for your attention 35 36 3-7-2025 19 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Academic Track Thursday 15 May 2025 37 38 3-7-2025 20 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Program DescriptionEnd timeStart time Registration 09:2009:00 Welcome remarks by the scientific coordinator of the ODECO project09:3009:20 Open data in government by Christos Boukoros, Deputy Minister of Digital Governance 09:4509:30 Session 1: Open data ecosystems beyond open government data 10:4509:45 Table discussion session 1 accompanied by coffee11:1510:45 Reflection Session 111:2511:15 Session 2: Emerging technologies for open data12:2511:25 Lunch13:3012:25 Table discussion session 2 accompanied by coffee14:0013:30 Reflection Session 214:1014:00 Session 3: Power dynamics in the generation, use and regulation of open data 15:1014:10 Short Break 15:2515:10 Table discussion session 3 accompanied by coffee 15:5515:25 Reflection Session 316:1515:55 Session 4: Looking back to plan for the future17:3516:15 Closing remarks18:0017:35 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Welcome by the scientific coordinator of the ODECO project Dr. Bastiaan van Loenen Delft University of Technology 39 40 3-7-2025 21 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. The ODECO Consortium welcomes you! This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Day 2: Academic Track – Thursday 15 May 2025 This day is the academic track of the conference and centered around our ESRs who will be showcasing their research outcomes within the ODECO project. The presentations of the ESRs will be structured around thematic sessions covering technology, business, public sector, and citizens & non-profit organizations. Upon the conclusion of the presentations in each thematic session a cross-sector discussion split in different round tables will ensue. 41 42 3-7-2025 22 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Challenges 1. Lack of skilled people to use open data. 2. Current open data ecosystems lag behind in value creation. 3. Existing open data ecosystems are neither userdriven nor balance demand-supply 4. Existing open data ecosystems are linear. 5. Current open data ecosystems are exclusive. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Supplier driven Exclusive Linear Current situation Best effort 43 44 3-7-2025 23 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Supplier driven User driven Exclusive Inclusive Linear Circular VALUE creation & SUSTAINABILITY of the ecosystem Current situation Envisioned situation Best effort Skill-based “An ecosystem by and for all” This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Overall objective To train a new generation of creative and innovative early-stage open data researchers, able to face current and future challenges, in the establishment of sustainable open data ecosystems supporting the EU ambitions to become a worldwide leading information economy. 45 46 3-7-2025 24 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Work Packages This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. ODECO Early Stage Researchers (ESRs) 47 48 3-7-2025 25 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Program DescriptionEnd timeStart time Registration 09:2009:00 Welcome remarks by the scientific coordinator of the ODECO project09:3009:20 Open data in government by Christos Boukoros, Deputy Minister of Digital Governance 09:4509:30 Session 1: Open data ecosystems beyond open government data 10:4509:45 Table discussion session 1 accompanied by coffee11:1510:45 Reflection Session 111:2511:15 Session 2: Emerging technologies for open data12:2511:25 Lunch13:3012:25 Table discussion session 2 accompanied by coffee14:0013:30 Reflection Session 214:1014:00 Session 3: Power dynamics in the generation, use and regulation of open data 15:1014:10 Short Break 15:2515:10 Table discussion session 3 accompanied by coffee 15:5515:25 Reflection Session 316:1515:55 Session 4: Looking back to plan for the future17:3516:15 Closing remarks18:0017:35 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Open data in governance by Christos Boukoros, Deputy Minister of Digital Governance 49 50 3-7-2025 26 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Session 1: Open data ecosystems beyond open government data DescriptionEnd timeStart time Session 1: Open data ecosystems beyond open government data Moderator: Caterina Santoro (ESR12) Speakers: Ashraf Shaharudin (ESR15) Giorgos Papageorgiou (ESR09) Héctor Ochoa Ortiz (ESR13) Mohsan Ali (ESR05) Liubov Pilshchikova (ESR11) 10:4509:45 Table discussion session 1 accompanied by coffee11:1510:45 Reflection Session 111:2511:15 Business models of open data intermediaries for a sustainable open data ecosystem Ashraf Shaharudin Department of Urbanism, Faculty of Architecture & the Built Environment 51 52 3-7-2025 33 Main Outcomes - Open data can lead to impactful journalism, but … ●Create clear, newsroom-specific guidelines for integrating open data into journalistic practices. ●Build internal capacity by giving journalists the skills and time needed to work effectively with open data. ●While maturity models exist for releasing open data, media organizations lack similar frameworks. ●A new open data maturity model is needed, offering clear steps for adoption and ways to generate and measure value beyond direct financial returns. Main Outcomes - Information Access Threats Data Removals: Systematic withdrawal of previously accessible datasets. Platform Policy Changes: Shifting access rules by digital platforms limit the availability of data. Website Changes: Alterations to official online content compromise the continuity and traceability of public information. 65 66 3-7-2025 34 Main Outlook •Provide journalists with low-risk, actionable steps to use open data. •Measure value beyond direct financial returns. •Guarantee long-term availability of datasets. •Include clear metadata and domain-specific context in data sets. Proposition Open data offers journalists access to vast information, but integrating it into their workflow requires new skills and methods. Current business models prioritize audience engagement, making it difficult to monetize time-intensive, specialized data. New metrics are needed to separate revenue for news stream and investigative reporting using open data. 67 68 3-7-2025 35 Thank you! Commercial organizations contribution to a Geographical Open Data Ecosystem Héctor Ochoa-Ortiz ESR 13 Università degli Studi di Camerino, Italy 15th May 2025 - ODECO Final Conference Athens, Greece This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Source: https://commons.wikimedia.org/wiki/File:Mapathon_OSM_-_University_of_Cantabria_-_2018.jpg by Emilio Gómez Fernández under CC-BY-SA 4.0 69 70 3-7-2025 36 Methodology Semi-structured interviews 25 companies (7 big corp., 18 SMEs) + Overture Maps Foundation Boundaries shown do not imply official endorsement or acceptance by the presenter or the United Nations Border data source: United Nations at https://geoportal.un.org/arcgis/apps/sites/#/geohub/datasets/65e92c869dff4ea6865bd589e4e70703/ Methodology Among questions asked: •Describe your organization •How does your organization use OSM and other data sources? •How and why does your organization contribute to OSM? •Barriers to contribution •Strengths and weaknesses •Contact with other stakeholders Source: Iulian Thomas “Weedstation”, under commission from Héctor Ochoa Ortiz 71 72 3-7-2025 37 Why and how are companies using OSM data? Quality combined with open license Google Maps ➔Expensive, no real access to data OpenStreetMap ➔Gives true access to the underlying data ➔license allows commercial use Why and how are companies using OSM data? One-stop shop Open Government Data ➔Good quality ➔Spread out data sources ➔Not commercially profitable OpenStreetMap ➔One place for all your geodata needs 73 74 3-7-2025 38 Why and how are companies using OSM data? Community Vibrant community that maintains the data Ecosystem of tools OSM is alive Allows companies to focus on services →mostly VAR Source: Carlo Prevosti for Wikimedia Italia under CC-BY-SA 4.0 at https://commons.wikimedia.org/wiki/File:State_of_the_Map_2022_-_group_photo_10.jpg Contribution comes in value, not only data Five contribution ways were identified: ➔Database editing ➔Tool development / funding ➔OSMF / local chapters / HOT funding ➔Event sponsoring ➔Community building 75 76 3-7-2025 39 Motivations, barriers to contribute Motivations, ordered by most mentioned: ➔Improve data quality ➔Build a community ➔Align with own dataset ➔Grateful and want to give back ➔We are part of the “open” movement ➔Project/client requirement ➔OSM is an important service Motivations, barriers to contribute Motivations, ordered by most mentioned: ➔Improve data quality ➔Build a community ➔Align with own dataset ➔Grateful and want to give back ➔We are part of the “open” movement ➔Project/client requirement ➔OSM is an important service Mixture of own / private value and social value OSM has to turn private values into public good 77 78 3-7-2025 40 Motivations, barriers to contribute Barriers, ordered by most mentioned: ➔Data integration ➔Lack of tooling ➔Community pushback ➔License ➔Lack of funds ➔Lack of manpower ➔Lack of time ➔Lack of ground truth information ➔Information on how to map for beginners Motivations, barriers to contribute Barriers, ordered by most mentioned: ➔Data integration ➔Lack of tooling ➔Community pushback ➔License ➔Lack of funds ➔Lack of manpower ➔Lack of time ➔Lack of ground truth information ➔Information on how to map for beginners Big corporations complain about community pushback SMEs complain about lack of resources Both agree on data integration issues, lack of tooling and license 79 80 3-7-2025 41 Overture Maps: response to OSM’s barriers Tooling availability Data schema Community pushback Import Guidelines Overture Maps: developers OSM: community Impact on OSM? Too early to measure Discussion Companies use OSM to enrich their services: Quality, Open license, One-stop shop, Community They also contribute back, not only with data: Motivations are a mixture of private values and social values How to turn private motivations into social good? Barriers exist: Technical and governance Companies want to align their contribution to their interests Overture Maps as a response 81 82 3-7-2025 42 Proposition Actors contribute to the ecosystem based on their motivations Aligning them to data contribution is key to making an ecosystem sustainable When there are barriers, actors can ally to overcome them ...at the expense of other actors? Bedankt Merci Gracias Thank you Ευχαριστώ Tak Grazie This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. hector.ochoaortiz @unicam.it odeco-research.eu 83 84 3-7-2025 49 Proposition Achieving and quantification of technical interoperability of open data is very subjective and challenging task in the presence of different technological infrastructure and in the presence of diverse stakeholders in an open data ecosystem. Thank you for your attention 97 98 3-7-2025 50 Non-profit organisationsʼvalue capabilities Reducing open government data barriers for users Liubov Pilshchikova (ESR11) Delft University of Technology Athens, 15-05-2025 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Photo by Katrin Bolovtsova Background User Barriers Lack of skills and awareness Lack of usability Lack of community building Lack of governance Lack of accessibility and findability Non-profit organisations (NPOs) NPOs are a type of open data intermediary Functionally defined by serving neglected populations, expanding the freedom or empowering people, advocating for social change, and providing services to the targeted groups, while not generating profits 99 100 3-7-2025 51 Background Capability Based View (CBV) CBV - theoretical model that suggests that resources are the source of capabilities, while capabilities are the source of an organisation’s competitive advantage if applied to perform important activities within the organisation Open Data Processes Individual competencies Organisational capabilities IT and Technological infrastructure Management and Governance Open Data Value Chain In the context of OGD use, the users need to acquire the data from the government first Collect the data from the sources, aggregate and process it as in many cases, the data needs to be enhanced to add value Data distribution and delivery, which includes data publishing, giving users access to and bringing awareness about the data for reuse The final data use stage implies the reuse of the data by a variety of users to get the most value Research Question 1/ Method/ Outcome Q1 What influence of non-profit intermediaries’ value capabilities on the open government data user barriers has been identified in the previous research? • Sub-question 1 : What are the open government data user barriers in the literature? • Sub-question 2: What are the value capabilities performed by non-profit open government data intermediaries in the literature? Systematic literature reviews on both open government data user barriers and value capabilities of non-profit intermediaries. Linking barriers to capabilities and validating them through workshops with academics in the open government data field. M1 O1 Linking the capabilities of the non-profit intermediaries to the barriers that open government data users face, based on the literature. 101 102 3-7-2025 52 Research Question 2/ Method/ Outcome Q2 What value capabilities do non-profit intermediaries perform to influence the open government data user barriers in practice? Case studies of NPOs: •Open Knowledge Belgium •CityLab Berlin •Open Knowledge Germany •Open Knowledge Foundation M2 O2 Gaining insight into the capabilities of the NPOs, the user barriers they influence, and differences that arise from the mission/type of open government data/user group/country context. Main Results 103 104 3-7-2025 53 Main Results o“Individual competencies” (knowledge and skills, personal connections and personal motivations) are primarily important during the initial stage of acquiring open data oThe importance of employees’ connections and personal motivations is not present in the literature, although it can both motivate individuals to be part of an NPO and to focus on solving local issues with local OGD oCapabilities across all the stages: “Open data processes” and “Organisational capabilities” o“Organisational capabilities” consist of a nonprofit organisational model, decision-making processes, and collaborations with OGD stakeholders, which play a significant role in decreasing barriers oThe common user barriers across the value chain stages: •lack of open data skills and awareness •data usability issues •accessibility and findability challenges in the initial and final stages Research Question 3/ Method/ Outcome Q3 What influence do value capabilities of non-profit intermediaries have on the open government data user barriers from the users’ perspective? Empirical test and quantitative assessment of the model via widely distributed questionnaire. The sample chosen will represent data-literate open government data users and their perspective on the role of NPOs’ capabilities in influencing user barriers. M3 O3 Outlining the role of the NPOs as an intermediary in the open government data ecosystem for the users from their perspective. 105 106 3-7-2025 54 Main Outcomes A conceptual framework to help non-profit organisations foster specific value capabilities to address their target user group's barriers Practical insights into the specifics of NPOs value-creating capabilities and their differences from for-profit or public organisations Visualisation of the prevailing user barriers and existing NPOs' value capabilities across the value chain of open data Proposition One of the value-creating capabilities of small-sized non-profit organisations is that their employees are personally motivated to solve their local real-world problems with local open data, which addresses the needs of citizens, engages them in open data use, and creates value for them. To create a more user-driven, inclusive and circular open data ecosystem, the focus of other stakeholders should also be on value creation for the citizens on their local level. 107 108 3-7-2025 55 Thank you! This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Table allocations for ODECO ESRs and supervisors (others are free to join any group, ~9 participants in each group) Table 1 Maria Ioanna Maratsi Silvia Cazacu-Bucica Charalampos Alexopoulos Francisco Javier López-Pellicer Table 2 Dagoberto Herrera Caterina Santoro Anneke Zuiderwijk-van Eijk Antonis Fourlis Table 5 Héctor Ochoa Ortiz Liubov Pilshchikova Ashraf Shaharudin Birger Larsen Manolis Ktistakis Table 3 Umair Ahmed Ramya Chandrasekhar Bastiaan van Loenen Javier Nogueras-Iso Table 4 Giorgos Papageorgiou Mohsan Ali Alejandra Celis Vargas Joep Crompvoets Loukis Euripidis 109 110 3-7-2025 56 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Session 1: Open data ecosystems beyond open government data Increasing need for diverse (non-govt) stakeholders in open data ecosystems, and new models for involving these nongovernmental actors/stakeholders Moderator: Caterina Relevant statement(s)ESRs Governments are no longer the (only) centre of gravity of open data ecosystems.Ashraf Open data offers journalists access to vast information, but integrating it into their workflow requires new skills and methods. Current business models prioritize audience engagement, making it difficult to monetize time-intensive, specialized data-driven journalism. New metrics and business models are needed to separate revenue streams for news and investigative reporting using open data. Giorgios People and organizations contribute based on their motivations, aligning them to data contribution is key to making an ecosystem sustainable Hector Achieving and quantification of technical interoperability of open data is very subjective and challenging task in the presence of different technological infrastructure and in the presence of diverse stakeholders in an open data ecosystem. Mohsan One of the value-creating capabilities of small-sized non-profit organisations is their employees being personally motivated in solving their local real-world problems with local open data, which addresses the needs of citizens, engages them in open data use, and creates value for them. To create a more user-driven, inclusive and circular open data ecosystem, the focus of other stakeholders should also be on value creation for the citizens on their local level. Luba This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Session 2: Emerging technologies for open data DescriptionEnd timeStart time Session 2: Emerging technologies for open data Moderator: Umair Ahmed (ESR14) Speakers: Ioanna Maratsi (ESR07) Dagoberto Herrera (ESR02) Umair Ahmed (ESR14) Alejandra Celis Vargas (ESR10) Abdul Aziz (ESR08) 12:2511:25 Lunch13:3012:25 Table discussion session 2 accompanied by coffee14:0013:30 Reflection Session 214:1014:00 111 112 3-7-2025 57 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Linked and Semantically Interoperable Open Data Maria Ioanna Maratsi (ESR7) University of the Aegean Athens, 15-05-2025 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Photo by Katrin Bolovtsova GScholar: https://shorturl.at/lbsxs Linkedin: https://www.linkedin.com/in/mj-mar/ This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Background: Semantic Interoperability in a Nutshell “Semantically interoperable schemas allow information to be automatically exchanged by sharing common meanings through the use of universally accepted standards.“ Key aspects of semantic interoperability: •Standard schemas •Domain-specific knowledge representation •Controlled Vocabularies •Good metadata Challenges remain.. Inconsistent data vocabulary use, custom metadata schemas… Semantic Interoperability Quality metadata Controlled Vocabularies Domain Knowledge Standard schemas 113 114 3-7-2025 58 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Research Questions 1. What are currently the semantic challenges of discovering and linking open data? 2. How can existing schemas be used across different domains to establish standardisation and cross-domain re-use? 3. How can emerging technologies (e.g., LLMs) contribute to semantic interoperability? How can automated or semi-automated methodological approaches alleviate persistent semantic interoperability challenges? This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Points of Progress.. ●Categorisation of semantic interoperability challenges ●Ontologies and metadata schemas in the Cultural Heritage, Legal Sector, Archives. Semantic alignment methods. ●Semantic proximity and measurement of interoperability of datasets in a data portal. ●Status in metadata provision in major OD portals (US, CA, UK, EU, AU) ●Linked Open Vocabularies (LOV) structured analysis, cross-domain reuse possibilities. ●Exploration of potential of LLMs for cross-domain vocabulary alignment. ●Exploration of potential of LLMs for the structural enrichment of schemas such as wikidata, dbpedia etc. 115 116 3-7-2025 65 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Recommendations • Evaluation practices for open data UIs must go beyond technical performance and include usercentric and socio-technical perspectives. • Interfaces should be tested for alignment with diverse user mental models and adapted to promote equity, clarity, and collaboration. • Institutions should embrace flexible testing methodologies and iterative design to cultivate resilient and impactful open data ecosystems. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. How can we ensure that the rise of AI in digital open data platforms enhances the human touch rather than diminishing it? Proposition 129 130 3-7-2025 66 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Thank you for your attention This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Source: https://commons.wikimedia.org/wiki/File:Mapathon_OSM_-_University_of_Cantabria_-_2018.jpgby Emilio Gómez Fernández under CC-BY-SA 4.0 Towards a FAIR Open Data Ecosystem using AI and CI Umair Ahmed ESR 14 Università degli Studi di Camerino, Italy 131 132 3-7-2025 67 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. FAIR Open Data Ecosystem: Vision (AI & CI) This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. FAIR Open Data Ecosystem: Vision (CI) 133 134 3-7-2025 68 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Vision (AI & CI): Metadata Extraction (Keywords) AccuracyModel 53.4% T5-Large 53.9%DeepSeek-R1Distill-Qwen-1.5B 60.0%Qwen2.5-1.5BInstruct 81.0%Llama-3.2-3BInstruct 57.3%Llama-3.2-1BInstruct 28.8%DeepSeek-R1Distill-Qwen-7B 40.3%Llama-3.1-8BInstruct 22.8%Mistral-7B-Instructv0.3 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Vision (AI & CI): Metadata Extraction (Themes) AccuracyModel 77%T5-Large 17%DeepSeek-R1Distill-Qwen-1.5B 18%Qwen2.5-1.5BInstruct 135 136 3-7-2025 69 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Vision (AI & CI): Metadata Extraction (Description) AccuracyModel 93%T5-Large DeepSeek-R1Distill-Qwen-1.5B Qwen2.5-1.5BInstruct Llama-3.2-3BInstruct Llama-3.2-1BInstruct 85%DeepSeek-R1Distill-Qwen-7B This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Vision (AI & CI): Semantic Search AccuracyModel 99RobertaL Total75-100 1212Conferenc es 2727Authors 2323Organizati ons 3027Papers Sample Queries that yielded accurate results Show me papers that focus on using description logic and reasoning in the context of semantic web Which papers are associated with MIT authors? List authors who have at least 10 publications. 137 138 3-7-2025 70 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Vision (CI): Crowdsourced Dataset Revisioning This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Vision (CI): Circulating the Feedback Loop 139 140 3-7-2025 71 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. AI4CI4AI: •AI (LLMs): •Can recommend metadata (Keywords, Themes, Descriptions) to publishers effectively. •Publishers can either approve or furnish it further from which AI will learn to update itself •Prototype extendable and integratable. •CI (Revisioning and Feedback System) •Github/OSM inspired revisioning and feedback/issue management system •Could easily be integrated as a CKAN extension •Mental Models Change •So should agents that imitate them •AI reflecting CI and CI reflecting tuned AI From Takeaways to the Way Ahead 14 2 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Proposition: •Leveraging artificial intelligence for an open data ecosystem accelerates data curation by automatically cleaning, organizing, and annotating datasets, improving both findability and user accessibility 141 142 3-7-2025 72 14 3 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Bedankt Merci Gracias Thank you Ευχαριστώ Tak Grazie This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Umair.ahmed @unicam.it LinkedIn 14 4 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Open data usage in elementary school Towards learning designs to develop open data competencies Alejandra Celis Vargas -ESR 10 Aalborg University, Copenhagen 14th to 16th May 2025 143 144 3-7-2025 73 14 5 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Problem: Lack of skills Lack of skills for participating in open data ecosystems (accessing, understanding and using open data) Generation of open data literate citizens Elementary Schools 14 6 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Background: Open Data integration in school education Focus on exploration of Data as a tool for learning school subjects •Open data connects classroom activities with real facts. •Open data increases teachers and students' motivation. •Public engagement (awareness for active citizenship) •Material for learning important skills (labour market and data-driven society) •Connect school and other organisations (citizens science projects) Drivers: Focus on teacher’s skills and motivation Identified potentials: Gaps/ constrains: Focus on higher education 145 146 3-7-2025 74 14 7 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. RQ. How can educational designs foster competencies in young school students to engage in open data ecosystems and address real-world challenges using open data? SRQ. What are open data competencies and the learning designs to develop them? 14 8 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Methodology: Design-based research 147 148 3-7-2025 81 Main Outcomes (2) A supplier-driven approach for inclusiveness: A framework for the thematic annotation of open government data. The framework provides and compares the performance of different machine learning classification techniques considering both annotated and not annotated metadata corpora. Main Outcomes (3) A user-driven approach for inclusiveness: A conceptual definition of roundtrip feedback in open data portals. We provide design guidelines to bridge stakeholder needs, improve data quality, and strengthen user engagement. 161 162 3-7-2025 82 Further Progress… Will start working on storymaps, a mechanism for inclusiveness Obtain a A2 certificate in Spanish Language in June 2025 Completing 1st draft of my PhD thesis Proposition An open data portal without a proper feedback mechanism is a dead-end 163 164 3-7-2025 83 Thank you for your attention This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Lunch 165 166 3-7-2025 84 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Session 2: Emerging technologies for open data DescriptionEnd timeStart time Session 2: Emerging technologies for open data Moderator: Umair Ahmed (ESR14) Speakers: Ioanna Maratsi (ESR07) Dagoberto Herrera (ESR02) Umair Ahmed (ESR14) Alejandra Celis Vargas (ESR10) Abdul Aziz (ESR08) 12:2511:25 Lunch13:3012:25 Table discussion session 2 accompanied by coffee14:0013:30 Reflection Session 214:1014:00 167 168 3-7-2025 85 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Session 2: Emerging technologies for open data Role of technologies like user interfaces, portals and AI for improving findability, accessibility and usability of open data + how to design these technologies so that we can create inclusive open data ecosystems? Moderator: Umair Relevant statement(s)ESRs AI Automation for semantic interoperability works best with human-in-the-loop. Our main concern should not be to eliminate human involvement, but rather find the golden ration between minimum human intervention and maximum machine effectiveness and efficiency Ioanna How can we ensure that the rise of AI in digital open data platforms enhances the human touch rather than diminishing it? Dagoberto Leveraging artificial intelligence for an open data ecosystem accelerates data curation by automatically cleaning, organizing, and annotating datasets, improving both findability and user accessibility + An open data ecosystem enhanced by AI is only as effective as the collective intelligence that continuously refines it. Umair Technical and user-driven perspectives must come together to develop practical solutions that enable students and other non-data experts to participate in Open Data ecosystems. Currently, these fields operate in silos rather than as interconnected dimensions of a solution" Alejandra An open data portal without a proper feedback mechanism is a dead-endAbdul This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Session 3: Power dynamics in the generation, use and regulation of open data DescriptionEnd timeStart time Session 3: Power dynamics in the generation, use and regulation of open data Moderator: Ioanna Maratsi (ESR07) Speakers: Silvia Cazacu-Bucica (ESR03) Caterina Santoro (ESR12) Ramya Chandrasekhar (ESR04) Malena Lopez Reyes (online, ESR06) 15:1014:10 Short Break 15:2515:10 Table discussion session 3 accompanied by coffee 15:5515:25 Reflection Session 316:1515:55 169 170 3-7-2025 86 Silvia Cazacu (ESR3) Spatial Applications Division Leuven (SADL) and Geography & Tourism Division GScholar LinkedIn Website Towards Critical Literacy in Human-Data Interaction Data Physicalisation Design to Reveal Entanglements of Power and Data Background: critical data literacy As a human-made artefact rather than a naturally occurring phenomenon (Kitchin, 2021), data is inherently entangled with power dynamics (Akbaba et al., 2024). These power dynamics are evident in the human labour required to collect, process, and maintain it (Correll, 2018), the social, organisational and local contexts (Loukissas, 2021), and the values and ways of thinking at a given time (Kitchin & Lauriault, 2018), among others. Despite these power dynamics, data is still portrayed as neutral and objective (D’Ignazio & Klein, 2020), preventing stakeholders to critically understand how their interactions with data affect their lives & to critically use data for personal and societal benefit (Pangrazio & Selwyn, 2023). This lack of critical data literacy risks reinforcing dominant systems of power, privilege, and oppression (Collins, 1990) which further marginalises already disadvantaged communities (Barad, 2007). 171 172 3-7-2025 87 Approach: data physicalisation design Fig 3: This 3D bar chart physically represents data about budget spending on education in European countries, between 1989-1999 (Jansen et al., 2013). Image: Y. Jansen. involves the construction of ‘a physical artefact whose geometry or material properties encode data’ (Jansen et al., •enhances the cognitiveunderstanding of data (Jansen, 2013); •allows data to be experienced through multiple senses (Hogan & Hornecker, 2012 ); and •perceived in relation to the whole body (Hornecker et al, 2023). Research question How can the construction process of data physicalisation reveal the entanglements between power and data? •SQ1. What are the entanglements between power and data during the infrastructuring process of data? •SQ2. How can the construction process of data physicalisation reveal these entanglements? •SQ3. What are the entanglements of data physicalisation as an infrastructuring process itself? SQ3SQ2SQ1 Chapter Ch2_Role of Values in Infrastructuring Mijn Tuinlab2 Ch3_Datopolis: Infrastructuring Critical Data Literacy3 Ch4_EnviroMapper: Mapping & Interpreting Situated Meanings4 Ch5_Power Dynamics in Infrastructuring Data Physicalisation5 Ch6_KINnect: Balancing Power Dynamics during Infrastructuring6 Table 1 shows the sub-questions answered by each thesis chapter, full bullets representing where the focus of the chapter lies. 173 174 3-7-2025 88 Ch6_KINnect Ch5_Power Dynamics in PDP Ch3_Datopolis Ch4_EnviroMapper Ch2_Role of Values Research outcomes S Q 3 S Q 2 S Q 1 Chapter/status Ch2_published (C&T’23)2 Ch3_under revision3 Ch4_published (CHI EA’25)4 Ch5_published (CHI ’25)5 Ch6_in progress6 Table 1 shows the sub-questions answered by each thesis chapter, full bullets representing where the focus of the chapter lies. Methodology a retrospective qualitative study with two stakeholder, based on 27 interviews and archival data collected during an internship at ODI Fig 16. Datopolis is a cooperative game for up to five players, where they collaboratively build a visual representation of a fictional town’s data infrastructure by drawing cards, connecting tiles, and placing tokens, while role-playing to navigate socio-technical challenges that impact the town’s wellbeing. Image: The ODI, anonymized by myself. Infrastructuring Critical Data Literacy through Role-playing: a Retrospective Study of the Game ‘Datopolis’ Chapter 3 | SQ2: How can the construction process of data physicalisation reveal these entanglements? Research question: How can role-playing the process of infrastructuring support players to develop critical data literacy skills? Co-authored with 175 176 3-7-2025 89 Chapter 3 | SQ2: How can the construction process of data physicalisationreveal these entanglements? Results How the construction process allows players to develop new meanings: •3 facilitation approaches, •3 play strategies, •4 discussion types happening in parallel with playing that demonstrate how players build critical data literacy skills Discussion •bridging theory in learning games (e.g. Peirce et al, 2008) with participatory infrastructuring (e.g. Frauenberger, 2019) by revealing how players often have conflicting agendas, but maintain their data infrastructure in spite of their differences, thus learning to be critical about how data applies to real world problems. Fig 17. We mapped the results onto the game - play - world model (Juul, 2011) to present how the facilitation approaches and play strategies happen during play, as guided by the resources and rules of the game, according to play outcomes: Tools, Roles and Events. The metagame develops in parallel with play, combining metagaming discussions about strategies with examples of data practices from the real world, through metacommunication. With dotted, interrupted and continuous arrows we represented decisions belonging to facilitators,players and the game that connect the game, play and real world. Disentangling the Power Dynamics in Participatory Data Physicalisation Chapter 5 | SQ2: What are the entanglements of data physicalisation as an infrastructuring process itself? Figure 23: First page of the publication. HONORABLE MENTION Fig 24: Methodology 1) Cross disciplinary ontology that synthesises literature from Participatory Design and Data Visualisation 2) Systematic literature review of 23 PDP artefacts presented in academic literature 3) Critical analysis by applying the codebook onto the corpus •published as: Silvia Cazacu, Georgia Panagiotidou, Therese Steenberghen, and Andrew Vande Moere. 2025. Disentangling the Power Dynamics in Participatory Data Physicalisation. In the ACM Conference on Human Factors in Computing Systems (CHI ’25), 19 pages. https://doi.org/10.1145/3706598.3713703; •awarded an ’Honorable Mention’ recognition, for papers in the top 5% of submissions. 177 178 3-7-2025 90 Fig 25: By grouping the totalityof decisions presented across all 5 ontological dimensions, we created a set of 6 PDP agendas: Pegagogy, Action Research, Practice, Engagement, Exploration, and Validation. Results Table 2. The corpus of 23 PDP artefacts analysed with themes, subthemes, and codes that capture the most prominent decisions shared by stakeholders. •10 types of decisions that guide PDP agendas grouped as: WHO, WHAT, WHY, WHEN/WHERE, and HOW? •6 PDP agendas that present different orientations towards participation KINnect A Data Physicalisation Method that Balances Power Dynamics in Participatory Data Practices Methodology: •DP method with predetermined rules: how to use the physical components to encode data while ensuring everyone contributes equally •Co-design of flexible rules with stakeholders who appropriate the toolkit for their goals •Evaluation in participatory workshops + stakeholder interviews (post workshop) Fig 28. Components: tokens, instruction cards, timers, ribbon and pins Fig 29. Assembling model consists of annotations, token placement (discussions), ribbon and pins placement (synthesis). Chapter 6 | SQ1+SQ2+SQ3 179 180 3-7-2025 97 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Global Trends: Staying Vigilant "The Data Hoarders Resisting Trump's Purge," by Julian Lucas, published in The New Yorker, March 14, 2025 Donald Trump's data purge has begun," by Justine Calma, published in The Verge, February 6, 2025 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Thank you for your attention 193 194 3-7-2025 98 195 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Legal strategies for nongovernment open data Open for whom, open by whom? Ramya Chandrasekhar Centre for Internet and Society French National Centre for Scientific Research 196 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Research focus: Licenses and legal strategies Open data ecosystems as data commons? Legal instruments to open up nongovernment data? (Citizen-generated + private sector) Licenses Regulatory frameworks Public-private partnerships Law and political economy STS Commons-based governance 195 196 3-7-2025 99 197 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Research approach Conceptual: Open Data Commons • Problem: Commodification of open data, enabled by law • Solution: Open data justice + commonsbased governance Case study #1: Platform Data • Regulatory instruments in the EU for access to and re-use of platform data for research purposes Case study #2: Data re-use for AI training datasets • Secondment @ Inno3 Consulting • Report on legal challenges involved in re-use of openly licensed data and content from the open web for AI training datasets Cast study #3: Health Data • Clinical trial data sharing and re-use platforms • Data re-use within the EU Health Data Space, based on principles of open data justice (with Caterina Santoro and based on a secondment @ KU Leuven) 198 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Findings: some challenges with nongovernment open data •Legal issues in the release of data as open data Proprietary claims in data(sets), data protection and privacy issues •Reciprocity v. Extraction from open data ecosystems/digital commons Commercial actors are less likely to respect and commit to license requirements of attribution and copyleft – see for example copyright cases against Generative AI companies in the US •Sustainability (especially in times of digital authoritarianism) Labour, infrastructure, funding 197 198 3-7-2025 100 199 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Open for whom? Open by whom? 200 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Openness From cyberlibertarianism to digital authoritarianism… and back? 199 200 3-7-2025 101 201 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Results: some promising legal strategies •Expanded universe of licenses Open Data Commons License, UsageRights License, Nwulite Obodo License, AI-specific licenses (Linux Foundation, Open Source Alliance, Montreal License, Open RAIL license) •Public procurement contracts Digital sovereignty clauses 202 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Proposition for post-panel discussion There is a politics of power to data, to law, and to the pursuit of openness. Some groups benefit, some groups are missed out. How do we account for this politics in legal strategies for nongovernment open data? 201 202 3-7-2025 102 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Openness has always been political. So what kind of “open” future do we want? Navigating Engagement with Local Open Government Data: Systemic Design for Participation in Urban Data Governance María Elena López Reyes P U R P O S E F U L T E C H N O L O G Y L A B H U M A N - C E N T R E D S C I E N C E & D I G I T A L T E C H N O L O G I E S D E P A R T M E N T O F C O M M U N I C A T I O N & P S Y C H O L O G Y 203 204 3-7-2025 103 R E S E A R C H F O C U S Why Engagement Often Falls Short? Local Open Government Data (OGD) availability is growing, but data use is relatively low and difficult to sustain (Abella et al., 2017). Engagement strategies are often static and one-dimensional (Simonofski et al., 2022). Local governments often lack guidance on adapting their strategies to the changing contextual dynamics (Zhang & Li, 2024). R E S E A R C H F O C U S Beyond Availability: Why Relationships Shape Engagement? Engagement is not just about open data availability; it’s about using, interpreting, and acting on it (Verhulst et al., 2020). Open data participation is relational, shaped by social, physical, and temporal boundaries. Without systemic thinking, strategies can miss key points of intervention. 205 206 3-7-2025 104 R E S E A R C H F O C U S What this Research Explored? How do relational and systemic conditions shape engagement with local OGD within urban data governance? Where are the frictions and leverage points for adaptive engagement strategy design? How can local public institutions be supported in evolving those strategies over time? R E S E A R C H A P P R O A C H An Embedded Case Study of Purpose-Driven Communities 7 Purpose-driven communities of local OGD use. 5 Municipal infrastructures for local OGD availability. 11 Strategic local OGD advocates (in a co-design workshop). Voluntary geographical subject data 207 208 3-7-2025 105 F I N D I N G S Engagement is shaped by Purpose, Relationships, and Lifecycle People care about something. Dynamic between personal goals and shared agendas. Engagement unfolds before, during, and after local OGD use. Understand when and how to adapt their engagement strategies. F I N D I N G S Engagement is shaped by Purpose, Relationships, and Lifecycle People care about something. Dynamic between personal goals and shared agendas. Engagement unfolds before, during, and after local OGD use. Understand when and how to adapt their engagement strategies. 209 210 3-7-2025 106 F I N D I N G S Engagement is shaped by Purpose, Relationships, and Lifecycle People care about something. Dynamic between personal goals and shared agendas. Engagement unfolds before, during, and after local OGD use. Understand when and how to adapt their engagement strategies. O U T L O O K A Method for Adapting Engagement Strategies Based on systemic design Grounded in relational understanding Co-developed with local actors Focused on identifying leverage points for strategy adjustment. 211 212 3-7-2025 113 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. The ODECO Consortium This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Challenges 1. Current open data ecosystems lag behind in value creation. 2. Existing open data ecosystems are neither user-driven nor balance demand-supply. 3. Current open data ecosystems are exclusive. 4. Existing open data ecosystems are linear. 5. Lack of skilled people to use open data. 225 226 3-7-2025 114 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Supplier driven Exclusive Linear Current situation Best effort This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Supplier driven User driven Exclusive Inclusive Linear Circular VALUE creation & SUSTAINABILITY of the ecosystem Current situation Envisioned situation Best effort Skill-based 227 228 3-7-2025 115 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Overall objective To train a new generation of creative and innovative early-stage open data researchers, able to face current and future challenges, in the establishment of sustainable open data ecosystems supporting the EU ambitions to become a worldwide leading information economy. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. ODECO Early Stage Researchers (ESRs) 229 230 3-7-2025 116 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Towards a user driven open data ecosystem •Open data ecosystems (ODE) are provider driven: users are not involved in decision making processes in ODE This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. From supplier driven to user driven •A priori, ongoing and a posteriori strategies to involve all actors: •Inclusive permanent bodies •Promoting participation through open data materialization •Who is in and who is out? 231 232 3-7-2025 117 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. User groups •purpose of use (explorer, aggregator, enabler, enricher, developer, end user); •geographic scope of the use (local, national, regional, global); •nature of the user (commercial, government, scientific, citizen); •natural person/ artificial user •user capabilities: (access to) (technical, creative, domain, business) skills and know-how/ understanding of open data (expert knowledge and skills to laymen knowledge and skills); •(access to) resources/ funding opportunities; •(access to) technical connectivity; •frequency of use (permanent to once off); •nationality (local or international user); •understanding of the (business) opportunities; •AI as a user •etc Non homogeneous needs that may change over time This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. •No one size fits all 233 234 3-7-2025 118 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. ODECO facilitating users •User friendly user interfaces based on user mental models •Technical interoperability validator (e.g., proprietary/ open format) •LLM to facilitate semantic interoperability •AI to recommend metadata “AI with a human touch” This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Towards an inclusive open data ecosystem •ODE is primarily government driven, also non-government actors should participate with their open data 235 236 3-7-2025 119 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Towards an inclusive open data ecosystem •There are non-government actors providing open data, Wikipedia, OpenStreetMap and also companies •On the concept of inclusivity: •much more than “non-government actors should participate with their open data in ODE” •power dynamics in terms of who and what is “missed out” in open data initiatives •Legal instruments, financial incentives and governance strategies for open data from non-government actors This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Towards a circular open data ecosystem •Users of OGD should improve OGD and provide the new data back to the ODE (i.e., to the OGD provider) as open data 237 238 3-7-2025 120 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Towards a circular open data ecosystem •“All user groups examined are currently contributing back to the ODE and adding value through several different roles that they assume”, however it is typically NOT always improved OGD that is contributed back. •Feedback mechanisms on open data (platforms) •Legal instruments, governance strategies and possibly technological solutions to enforce circularity of OGD This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Towards a skill-based open data ecosystem •Skill-based OD ecosystems focus on continuous open data capacity building •Leverage education sector for data skills and data literacy •Example: •through the Open Data Newsroom •(open) data science courses at all educational levels (from primary school to higher education) 239 240 3-7-2025 121 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. A sustainable open data ecosystem •User driven, inclusive, circular and skill-based •Training, training and training: •Professionals •Citizens •Students •Pupils This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Open data ecosystem research •Open data ecosystem research maturing •Interplay between technology and governance strategies key •Need to approach ODE through an interdisciplinary lens 241 242 3-7-2025 122 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. Thank you for your attention 243 244