Data Management Plan version 3

2 This project has received funding from the European Union’s HORIZON-AG - HORIZON Action Grant Budget-Based research and innovation programme under grant agreement GA 101091268 Ref. Ares(2024)8048719 - 13/11/2024 D6.5 Data Management Plan Project NOVASOIL Project title INNOVATIVE BUSINESS MODELS FOR SOIL HEALTH Work Package 6 Coordination & Management Deliverable 6.5 Period covered 01/11/2022-31/10/2025 Publication date 31/10/2025 Dissemination level PU Organisation name of lead beneficiary for this report EVENOR Authors Blanco-Velázquez FJ, Alonso Martín F, Bravo-García J, González-Peñaloza F and Anaya-Romero M Contributors ALL NOVASOIL INNOVATIVE BUSINESS MODELS FOR SOIL HEALTH Grant agreement ID: 101091268 Ref. Ares(2025)9375554 - 31/10/2025 3 This project has received funding from the European Union’s HORIZON-AG - HORIZON Action Grant Budget-Based research and innovation programme under grant agreement GA 101091268 QUALITY ASSURANCE PROCEDURES This document has been reviewed by the NOVASOIL consortium according to the national reports and comments received TABLE REVISION HISTORY DELIVERABLE Ro w Version Date Reviewers Description 1 V1.0 14/04/2023 EVENOR Draft version circulated by email 2 V1.1 24/04/2023 ALL partners Comments and inputs received 3 V2.0 25/04/2023 EVENOR Second version circulated by email 4 V3.0 16/09/2024 EVENOR Inputs based on comments received 5 V4.0 30/10/2025 EVENOR Inputs based on datasets generated Data Management Plan (DMP) versions The DMP is a document which evolves during the lifespan of the project and registers all relevant changes in the life-cycle of all research datasets of the NOVASOIL project. The table below shows all the planned versions of NOVASOIL DMP, this final version shows the data produced and the data management policy adopted at the end of the project. Version Expected by project month (M) D6.2 6 D6.4 18 D6.5 36 4 This project has received funding from the European Union’s HORIZON-AG - HORIZON Action Grant Budget-Based research and innovation programme under grant agreement GA 101091268 Project Consortium Nº Participant organisation name Countr y 1 EVENOR TECH SLU ES 2 LEIBNIZ-ZENTRUM FUER AGRARLANDSCHAFTSFORSCHUNG GE 3 ZEMNIEKU SAEIMA LV 4 NEW BULGARIAN UNIVERSITY BU 5 CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR 6 KOBENHAVNS UNIVERSITET DK 7 TECHNISCHE UNIVERSITAET MUENCHEN DE 8 ASSEMBLEE DES REGIONS EUROPEENNES FRUITIERES LEGUMIERES ET HORTICOLES FR 9 ISTITUTO DELTA ECOLOGIA APPLICATA SRL IT 10 UNIVERSITA DEGLI STUDI DI FERRARA IT 11 WAGENINGEN UNIVERSITY NL 12 CENTRE OF ESTONIAN RURAL RESEARCH AND KNOWLEDGE EE 13 UNIVERSIDAD POLITECNICA DE MADRID ES 14 UNIVERSITA DI PISA IT 15 ASOCIACION AGRARIA JOVENES AGRICULTORES DE SEVILLA ES 16 UNIVERSITY OF LEEDS GB 5 This project has received funding from the European Union’s HORIZON-AG - HORIZON Action Grant Budget-Based research and innovation programme under grant agreement GA 101091268 Table of contents 1 Data Management Plan (DMP) ....................................................... 6 2 Executive summary ...................................................................... 6 3 FAIR Data ................................................................................... 7 3.1 Making data findable, including provisions for metadata ..................... 8 3.2 Making data openly accessible ...................................................... 9 3.3 Making data interoperable ......................................................... 12 3.4 Increase data re-use (licensing) ................................................... 12 3.5 Allocation of resources .............................................................. 12 3.6 Data security ........................................................................... 14 3.7 Ethical aspects ......................................................................... 15 4. Datasets overview ........................................................................ 16 6 Acknowledgments ........................................................................... 2 Annex 1: List of expected datasets .......................................................... 4 6 This project has received funding from the European Union’s HORIZON-AG - HORIZON Action Grant Budget-Based research and innovation programme under grant agreement GA 101091268 1 Data Management Plan (DMP) The DMP is a document that provides details regarding all the data collected and generated within a project. The way of research data are handled, organised, licensed and made openly available to the stakeholders, and how they will be preserved and stored beyond the project. As well as, the DMP provides motivations when versions or some parts of the project research data cannot be openly shared on account of third-party copyright issues, confidentiality or personal data protection requirements, or when open dissemination could compromise the project achievements. The details and the final number of the project datasets could vary along the project so the DMP must be constantly updated. 2 Executive summary The general objective of the NOVASOIL project is to highlight the benefits for society and the environment from the investment in soil health. The main expected outcome of the project is a toolbox for the analysis of the suitability of different business cases that promote soil health. This toolbox will be based on a set of good examples from Europe and other countries and the needs and demands of the society. The toolbox will include a categorisation of the models and business cases taking into account: a) sustainable soil management under different land uses and climatic conditions; b) products based on practices promoting soil health; c) consumption and certification practices conductive: d) the reuse of land and e) sustainable soil management in the context of the EU Taxonomy Regulation. The NOVASOIL multi-actor and multidisciplinary team brings together 16 partners in 10 countries, covering representative typologies of actors involved in soil health and business models (farmer organisation, research institutions, consultancy companies, etc). NOVASOIL uses qualitative and quantitative analytical methods, such as surveys, key actors, stakeholders’ workshops, case studies and modelling. The project will generate and collect several different types of research data: numerical and textual data as well modelling data. Research teams will convert data from repository formats and will make them available in wellknown and documented open formats to allow accessibility, reusability and long-term preservation (see Table 1 for details) Type of data Format used during data processing Formats for sharing reuse and preservation Numerical or textual tabular data Microsoft Excel or similar (.xls/ .xlsx/ .ODF) Comma-separated values (.csv) Microsoft Excel or similar (.xls/ .xlsx/ .ODF) as an exception when format conversion to 7 This project has received funding from the European Union’s HORIZON-AG - HORIZON Action Grant Budget-Based research and innovation programme under grant agreement GA 101091268 .csv is not feasible because of the presence of special characters. Qualitative textual data Microsoft word or similar (.doc/ .docx/ .odt) Rich Text Format (.rtf) or text (.txt) Simulation model data The mathematical model is saved using standard differential equations symbols in .csv and .txt. Simulated values are saved as numerical data, as specified above. Statistical data STATA format (.dta), R format (.Rdata) Comma-separated values (.csv), R format (.Rdata) As well as, documentation files explaining all relevant details regarding data collection, processing methodologies and quality assurance will be deposited in institutional or public repositories along with the datasets in .odt, .rtf or .pdf formats. The project potentially re-uses a variety of existing data from different sources. For example, data from CAP Strategic Plans (https://agriculture.ec.europa.eu/cap-my-country/cap-strategic-plans_en), Statistical Yearbook World Food and Agriculture from FAO (https://www.fao.org/3/cc2211en/online/cc2211en.html), data from descriptions and reports created by Local Authorities, etc. The data will be deposited in repositories in compressed folders. All the data generated may be of interest to different potential users as researchers, students, policy makers, stakeholders, farmers, practitioners working on soil health business design, etc. The data could also be used as a source for topic-related studies, comparisons and for different analyses. 3 FAIR Data The current DMP follows the EU guidelines (https://webgate.ec.europa.eu/funding-tendersopportunities/display/OM/Online+Manual) and describes the data management procedures according to the FAIR principles. Any personal data under the Agreement will be processed under the responsibility of the data controller of the granting authority in accordance with and for the purposes set out in the Portal Privacy Statement and subject to Regulation 2018/1725. 8 This project has received funding from the European Union’s HORIZON-AG - HORIZON Action Grant Budget-Based research and innovation programme under grant agreement GA 101091268 The beneficiaries must process personal data under the Agreement in compliance with the applicable EU, international and national law on data protection (in particular, Regulation 2016/679). The acronym FAIR identifies the main features that the project research data must have in order to be findable, accessible, interoperable and re-usable, allowing thus for maximum knowledge circulation and return of investment. 3.1 Making data findable, including provisions for metadata Following previous initiatives and experience from the consortium, at the moment of the publication of project results, each research team deposits and describes the relative underlying dataset(s) in institutional or public data repositories. In order to identify the deposited items, the repositories can attribute persistent unique identifiers such as DOI (Digital Object Identifiers). Partners are strongly recommended to use the persistent unique identifiers to cite the datasets as underlying data within their research publications. The chosen data repositories (see Table 2 and 3 for the list of the chosen data repositories) support standard descriptive metadata to ensure datasets indexing and discoverability. They comply with the OpenAIRE 3.0 requirements for data archives. As a consequence, the project datasets will be visible through the OpenAIRE portal, facilitating project reporting procedures. All relevant documentation explaining data collection procedures and analysis will be made available along with the data, in order to guarantee intelligibility, reproducibility and the validation of the project findings. All datasets will be described using standard metadata and according to the OpenAIRE guidelines in order to ensure also metadata interoperability for datasets indexing and discoverability. NOVASOIL research data will be organised in datasets, which will be named collections of data units with the same focus and scope. This DMP has identified the following common rules for dataset labelling in order to promote data visibility, discoverability, citation and permanent online tracking. The recommended title for each dataset consists of: NOVASOIL_<WP number>_<Task number>_<Task title>_<additional information specifying coverage of data>_<date and version number (if revisions or updates are required)> The version number of the datasets will be added at the end of the title in case of data revisions to help identifying the dataset updates especially in repositories that do not track versioning automatically. The DMP suggests the following rules for file labelling: - For dataset file(s): NOVASOIL_WPnumber_Tnumber_coverage_date(YYYY.MM.DD)_vn.fileexten tion 9 This project has received funding from the European Union’s HORIZON-AG - HORIZON Action Grant Budget-Based research and innovation programme under grant agreement GA 101091268 - For the dataset relevant documentation explaining data collection procedures and analysis (such as manuals, methodologies, etc): NOVASOIL_WPnumber_Tnumber_coverage_date(YYYY.MM.DD)_vn_READM E.fileextention WPnumber= Work Package number Tnumber= Task number Vn= version number 3.2 Making data openly accessible NOVASOIL aims to make research data openly available, whenever possible, to allow dissemination, validation and re-use of research results. For these, all files will be converted to standard and well-documented open formats and the datasets will be deposited together will all the additional and relevant documentation and explanation. However, restrictions on data access or the impossibility to share them have been considered only in the following cases: - When collected data belong to a third party which denies permission for sharing them on account of confidentiality and proprietary issues; - Protection of personal data of key informants involved in surveys, focus groups, interviews, stakeholders’ workshops and case studies. Consequently, all possible and legitimate actions and strategies may be adopted to allow data sharing including: - Obtaining copyright permissions from thirdparty data owners to be allowed to re-use, reproduce and distribute the collected data; - Converting files to standard open formats; - Providing all relevant documentation and explanation for the data and/or datasets; - Obtaining the consent of stakeholders involved in key actors and stakeholders’ workshops and anonymizing and aggregating the data of interviews; - In case of copyright on raw data derived, collected or elaborated from pre-existing databases or other sources (i.e. papers, book chapters, journal articles, reports, video and audio sources), collected data are made available if the reproduction and sharing are allowed by expressed permissions of the right holders or by applicate copyright exceptions and exemptions. Specifically, reproductions and communications of summaries of texts and other protected works are permitted for illustration purposes for scientific research, provided that the source, including the author’s name, is acknowledged and provided that the use does not conflict with the exploitation of the source and does not unreasonably prejudice the legitimate interests of right holders. Otherwise, only aggregate data resulting from the analysis are openly published. Anyway, when the sources are freely 10 This project has received funding from the European Union’s HORIZON-AG - HORIZON Action Grant Budget-Based research and innovation programme under grant agreement GA 101091268 available on line in their original repositories, but direct reproduction is not allowed, a detailed account of how the dataset was created from the original datasets is available. Raw data consisting fulltexts are not made available without copyright holders’ permission. For these data that fall under some of the restrictions cited above and for which it is not possible to take any action to make them shareable, the EU allows complete closure or restricted access to them. The data cannot be made accessible openly on account of privacy issues and will be held in secure local systems with a password and regular back ups at each involved partner institution. They will be preserved for at least five years beyond the project. The equest of access to restricted data by single researchers, research institutions, reviewers and committees, aimed for example at verifying the quality of the research results, shall be addressed to the contact persons indicated in each dataset identified (this information will be included in an Annex). In general, within the limits of what has been indicated in the privacy policy, nonanonymized authorized data shall be provided on motivated request to single researchers, researcher institutions, reviewers and committees while nonanonymized not-authorized data shall be provided only to EC and publication reviewers. NOVASOIL final DMP will indicate the versions or parts of the datasets that cannot be freely shared providing the specific motivations. Shareable data underlying the project publications will be deposited in institutional or public data repositories (see Tables 2 and 3) along with the metadata, relevant documentation and machine-readable licenses that allow re-use, at the time of the publisher’s acceptance of the manuscripts. The other research data produced within the project will be described and archived with all key documentation and machine-readable licenses allowing re-use in the chosen repositories for long-term preservation and future accessibility and re-use with different embargo periods (max 7 years) to permit all research groups to complete the analysis and publish the project results beyond the project. After the embargo period, the research data will still be usable indefinitely since the repositories chosen for archiving guarantee long-term preservation. Data underlying articles stemming from the project and published beyond the project will be deposited in the chosen repository at the latest at the time of the editorial acceptance of the manuscript to permit crosslinking between the publication and the data. Public access to these data will be given at the same time of publication. Table 2. Summary of repositories identified by the consortium Repository name URL Type Partner Zenodo https://zenodo.org Multidisciplinary EVENOR, UNIPI ARPI UNIPI https://arpi.unipi.it/ Institutional UNIPI NBU https://eprints.nb u.bg/ Institutional NBU 2 This project has received funding from the European Union’s HORIZON-AG - HORIZON Action Grant Budget-Based research and innovation programme under grant agreement GA 101091268 Table 7. Datasets list Table acronyms and abbreviations: # = data set progressive number ID, LB = WP lead beneficiary, PP = project phase (starting month-ending month), CT = creator team in charge of curating the data set, NYC = not yet collected, C = collected, NYG = not yet generated, G = generated, A = available, E = available after the embargo, AE = available at the end of the project. # W P L B TASK PP CT DATASET Title SOURC E STATUS 1 1 1. 4 Coordination of Case Studies 136 EVENOR NOVASOIL_WP1_Task1.4_Data collection from case studies_date C, G A (in Zenodo) 2 2 T U M 2.3 Assessment of Upscaling potential 1435 TUM T2.3_consumer_acceptance NYC (confidential data) 3 2 T U M 2.3 Assessment of Upscaling potential 1435 TUM T2.3_producer_adoption NYC (confidential data) 4 3 N B U 3.1 Mapping of existing incentives for sustainable soil health business models 18 NBU T3.1_incentives_inventory_date C A (in the Tool-Box) 5 3 N B U 3.1 Mapping of existing incentives for sustainable soil health business models 18 NBU T3.1_incentives_mapping_date C A (in the Tool-Box) 6 5 5. 3 Community of Practice approach implementation 136 EVENOR NOVASOIL_WP5_Task5.3_Commu nity of Practice_date G (confidential data) 2 This project has received funding from the European Union’s HORIZON-AG - HORIZON Action Grant Budget-Based research and innovation programme under grant agreement GA 101091268 6 Intellectual Property Rights (IPR) for NOVASOIL Datasets The datasets generated within the NOVASOIL project will adhere to strict Intellectual Property Rights (IPR) guidelines to ensure the protection, accessibility, and appropriate reuse of the data. These datasets will encompass various types of information, including numerical, textual, and simulation model data. Below is a description of the IPR considerations for the expected datasets: Ownership and Licensing Ownership of the datasets will reside with the organizations that create them. Each dataset will be governed by specific licenses, ensuring that intellectual property is protected while allowing for data reuse under certain conditions. Most datasets will be licensed under Creative Commons (CC BY 4.0) or Open Data Commons (ODC-BY), allowing others to freely share and adapt the data provided that appropriate credit is given to the creators. This ensures alignment with the project's FAIR (Findable, Accessible, Interoperable, Reusable) data principles. Copyright and Third-Party Data In cases where data includes third-party content (e.g., from public or external datasets), permission from the original data owner will be obtained to ensure compliance with copyright laws. This includes adherence to confidentiality agreements, personal data protections (under GDPR), and proprietary limitations. If data cannot be shared due to third-party restrictions, they will be stored securely and made available under controlled access. In the data compilation from case studies, permission from the original data owner would be required. Access and Data Sharing While NOVASOIL strives to make its datasets openly available, there will be cases where data access is restricted to protect sensitive information, such as personal data or proprietary content. For these restricted datasets, access will be managed by designated project members and may be available upon request for specific research purposes. These datasets will remain in secure repositories for a minimum of five years post-project, ensuring that interested parties can verify or build upon the project's results. Final repository will be chosen for the next DMP. Data Citation and Acknowledgment Each dataset will be assigned a persistent identifier (such as a DOI) to ensure proper attribution and citation. Users of the datasets are required to acknowledge the original creators in any derivative works or publications. This approach supports both legal and ethical compliance while promoting the reuse of NOVASOIL datasets within the scientific and business communities. 3 This project has received funding from the European Union’s HORIZON-AG - HORIZON Action Grant Budget-Based research and innovation programme under grant agreement GA 101091268 Long-Term Preservation All datasets, including their related metadata and documentation, will be stored in long-term, open-access repositories, ensuring that they are accessible for future use. The datasets will be deposited in one institutional or public repositories such as Zenodo, mediaTUM, or other project-partner repositories that guarantee data preservation and compliance with OpenAIRE standards. By adhering to these IPR guidelines, NOVASOIL ensures that its datasets can be reused while protecting the intellectual property of project partners and contributing to global knowledge on soil health and sustainable business models. 7 Acknowledgments The authors would like to thank the EU for funding, in the frame of the European Union’s Horizon Europe research and innovation programme under Grant Agreement GA 101091268. The document reflects only the author’s view. The Agency is not responsible for any use that may be made of the information it contains. 4 This project has received funding from the European Union’s HORIZON-AG - HORIZON Action Grant Budget-Based research and innovation programme under grant agreement GA 101091268 Annex 1: List of expected datasets This annex will be updated in forthcoming DMP versions. Template: WPX – title Lead: YY Participants: YY, YZ, etc WPX Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum # Current status Dataset’ title ID (Repository, Identification Type) - Version 1 Team in charge YY Creator/s Contributors (INCLUDE HERE ALL PARTNERS INVOLVED) Contact person/s Contents 5 This project has received funding from the European Union’s HORIZON-AG - HORIZON Action Grant Budget-Based research and innovation programme under grant agreement GA 101091268 WP2 – Analyis and Development of Business Models to Promote Soil Health Lead: TUM Participants: All WP2 identifies most promising soil management strategies to promote soil health, reviews existing business models related to soil health, investigates acceptance of business models on both the land managers’ and consumer side. In a last task, its objective is to co-develop improved business models together with stakeholders. 2 NYC T2.3_consumer_acceptance ID (Repository, Identification Type) (confidential data) Version 1 Team in charge TUM Creator/s Carina Obergröbner, Fabian Frick 6 This project has received funding from the European Union’s HORIZON-AG - HORIZON Action Grant Budget-Based research and innovation programme under grant agreement GA 101091268 Contributors tbd Contact person/s Fabian Frick Contents Data from a choice experiment on consumer acceptance of selected soil health business models. 2 NYC T2.3_producer_acceptance ID (Repository, Identification Type) (confidential data) Version 1 Team in charge TUM Creator/s Carina Obergröbner, Fabian Frick Contributors tbd Contact person/s Fabian Frick Contents Data from a choice experiment on producer acceptance of selected soil health business models. WP1 –Case Study Dataset Lead: EVENOR Participants: EVENOR The dataset uploaded in Zenodo contains soil data from the case study. 1 Generated (not yet available) NOVASOIL_WP1_Dataset_Tamarguillo_Park ID (Repository, Identification Type) https://doi.org/10.5281/zenodo.17422778 Version 1 Team in charge EVENOR Creator/s Blanco-Velázquez FJ, Alonso Martín F, BravoGarcía J, González-Peñaloza F and AnayaRomero M Contributors EVENOR Contact person/s Francisco José Blanco-Velázquez Contents This dataset contains data on the monitoring variables selected from the case studies. The information has been organised under different categories for their easy re-use and according to the objectives of the case study and their business model. WP1 – Case Study Dataset Lead: TUM Participants: TUM The dataset uploaded in Zenodo contains soil data from the case study. 1 Generated (not yet available) NOVASOIL_WP1_Dataset_CO2_Land_Initiative 7 This project has received funding from the European Union’s HORIZON-AG - HORIZON Action Grant Budget-Based research and innovation programme under grant agreement GA 101091268 ID (Repository, Identification Type) https://doi.org/10.5281/zenodo.17423016 Version 1 Team in charge TUM Creator/s Frick Fabian, Obergröbner Carina Contributors TUM Contact person/s Fabian Frick Contents This dataset contains data on the monitoring variables selected from the case studies. The information has been organised under different categories for their easy re-use and according to the objectives of the case study and their business model. WP1 – Case Study Dataset Lead: ZSA Participants: ZSA The dataset uploaded in Zenodo contains soil data from the case study. 1 Generated (not yet available) NOVASOIL_WP1_Dataset_DIH_System ID (Repository, Identification Type) https://doi.org/10.5281/zenodo.17423074 Version 1 Team in charge ZSA Creator/s Inga Berzina, Valters Zelcs Contributors ZSA Contact person/s Inga Berzina Contents This dataset contains data on the monitoring variables selected from the case studies. The information has been organised under different categories for their easy re-use and according to the objectives of the case study and their business model. WP1 – Case Study Dataset Lead: NBU Participants: NBU The dataset uploaded in Zenodo contains soil data from the case study. 1 Generated (not yet available) NOVASOIL_WP1_Dataset_Organic_Vineyards ID (Repository, Identification Type) https://doi.org/10.5281/zenodo.17423850 8 This project has received funding from the European Union’s HORIZON-AG - HORIZON Action Grant Budget-Based research and innovation programme under grant agreement GA 101091268 Version 1 Team in charge NBU Creator/s Nikolov Dimitre, Banov Martin, Tzvetanova Ekatherina Contributors NBU Contact person/s Dimitre Nikolov Contents This dataset contains data on the monitoring variables selected from the case studies. The information has been organised under different categories for their easy re-use and according to the objectives of the case study and their business model. WP1 – Case Study Dataset Lead: ZSA Participants: ZSA The dataset uploaded in Zenodo contains soil data from the case study. 1 Generated (not yet available) NOVASOIL_WP1_Dataset_DIH_System ID (Repository, Identification Type) https://zenodo.org/records/17415794 Version 1 Team in charge ZSA Creator/s Berzina Inga, Zelcs Valters Contributors ZSA Contact person/s Inga Berzina Contents This dataset contains data on the monitoring variables selected from the case studies. The information has been organised under different categories for their easy re-use and according to the objectives of the case study and their business model. WP1 – Case Study Dataset Lead: ASAJA Participants: ASAJA, EVENOR The dataset uploaded in Zenodo contains soil data from the case study. 1 Generated (not yet available) NOVASOIL_WP1_Dataset_Olive_Integrated_Produ ction 9 This project has received funding from the European Union’s HORIZON-AG - HORIZON Action Grant Budget-Based research and innovation programme under grant agreement GA 101091268 ID (Repository, Identification Type) https://doi.org/10.5281/zenodo.17423882 Version 1 Team in charge ASAJA Creator/s Jose Fernando Robles Contributors ASAJA, EVENOR Contact person/s Javier Bravo García Contents This dataset contains data on the monitoring variables selected from the case studies. The information has been organised under different categories for their easy re-use and according to the objectives of the case study and their business model. WP1 – Case Study Dataset Lead: UNIPI Participants: UNIPI The dataset uploaded in Zenodo contains soil data from the case study. 1 Generated (not yet available) NOVASOIL_WP1_Dataset_ Ciraa_Cover_Cropping ID (Repository, Identification Type) https://doi.org/10.5281/zenodo.17424355 Version 1 Team in charge UNIPI Creator/s Luciano Pagano, Daniele Antichi Contributors UNIPI Contact person/s Luciano Pagano, Daniele Antichi Contents This dataset contains data on the monitoring variables selected from the case studies. The information has been organised under different categories for their easy re-use and according to the objectives of the case study and their business model. 1 Generated (not yet available) NOVASOIL_WP1_Dataset_ Ciraa_MASCOT ID (Repository, Identification Type) https://doi.org/10.5281/zenodo.17424199 Version 1 10 This project has received funding from the European Union’s HORIZON-AG - HORIZON Action Grant Budget-Based research and innovation programme under grant agreement GA 101091268 Team in charge UNIPI Creator/s Luciano Pagano, Daniele Antichi Contributors UNIPI Contact person/s Luciano Pagano, Daniele Antichi Contents This dataset contains data on the monitoring variables selected from the case studies. The information has been organised under different categories for their easy re-use and according to the objectives of the case study and their business model. 1 Generated (not yet available) NOVASOIL_WP1_Dataset_ Ciraa_SODO_ARATO ID (Repository, Identification Type) https://doi.org/10.5281/zenodo.17424319 Version 1 Team in charge UNIPI Creator/s Luciano Pagano, Daniele Antichi Contributors UNIPI Contact person/s Luciano Pagano, Daniele Antichi Contents This dataset contains data on the monitoring variables selected from the case studies. The information has been organised under different categories for their easy re-use and according to the objectives of the case study and their business model. WP1 – Case Study Dataset Lead: METK Participants: METK The dataset uploaded in Zenodo contains soil data from the case study. 1 Generated (not yet available) NOVASOIL_WP1_Dataset_Integrated_Production ID (Repository, Identification Type) https://doi.org/10.5281/zenodo.17424047 Version 1 Team in charge METK Creator/s Kalvi Tamm Contributors METK Contact person/s Kalvi Tamm