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Open Research Data Repository to Progress FAIRness in Spatial Sustainability Sciences: The Story of ioerDATA

Sikder, Sujit Kumar

Abstract

Research data repository (RDR) software provides solutions to progress digital transformation in relation to behavioural shift in scientific culture by ensuring secure access, preservation, management, archiving and measuring the impact of research data. The orientation to RDR solutions is an almost mandatory requirement to comply with scientific best practices. This contribution aims to present the experience of the journey to decide on a particular software solution that fits the purpose in the context of spatial sustainability sciences at the Leibniz Institute for Ecological Urban and Regional Development (IOER). During the evaluation, several community-driven, open-source platforms including CKAN and Dataverse were assessed. The choice of an RDR solution can have a significant impact on the scientific workflow, standards compliance, data governance, and operational efficiency. Adoption of one solution can have impacts on future scientific culture, workflow, standard, management and efficiency depending on its specific features and services. Therefore, selecting the appropriate solution required an evaluation process that considered key factors, including stakeholders, the institutional strategic landscape, existing workflow and IT infrastructure, with a preference on software suitability. Our conclusions are based on expert consultations, community feedback and desk research for deciding an RDR solution and enhancing FAIRness for the spatial science community. Since April 2025, the institutional research data repository of IOER — ioerDATA (https://data.fdz.ioer.de) has been online by adopting the open-source Dataverse (Powered by the Dataverse Project) as its chosen RDR software solution. The repository is managed and curated by the institute's Research Data Centre ( https://ioer-fdz.de ).

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Leibniz Institute of Ecological Urban and Regional Development (IOER) Weberplatz 1, 01217 Dresden, GERMANY Director: Prof. Dr. Marc Wolfram www.ioer.de/en Source: Pampel et al., (2013). DOI: 10.1371/journal.pone.0078080 Information systems (i.e. IOER-Monitor, IOER-ISBE) to curated research data publication Account and User Info (Producer, Reviewer, User) Citation generation and PID Customization need File upload and handling Interoperability –API, Integration, Harvesting Metadata –automation, standard, vocabulary Metrics + Reports Notifications (changes or updates) Publishing & versioning (older data, level of versioning) Search/Browse functionalities Terms & Licencing setups Communication/Community/ Road Map Provenance (open vs. login) Geospatial features ioerDATA Research Data Repository of the IOER Organized by the scientific domain of Social sciences Focus on Research data publication domain Proven built-in FAIR principals and features Active international community of developers Minimum customization need Adoption trend in Germany RDR Solutions: CKAN, ContentDM,Dataverse, Dspace, ePrints, EDUDAT, Fedora, Figshare, Greenstone, Invenio, Omeka, SciELO; WEKO, Zenodo, … Visioning for CoreTrust http://doi.org/10.17616/R31NJNL7 Research Data Centre of the Leibniz Institute of Ecological Urban and Regional Development 🤝🤝TIB-DataCite Consortium, Hannover 🔗🔗DataCite DOI integration is flexible for Dataverse 🪪🪪Shared contacts involved in Dataverse adoption efforts 🗣🗣Feedback from Dataverse Adopters 🏫🏫University of Stuttgart 🧩🧩Individual metadata configuration per Dataverse/container 🛠🛠Ability to define custom metadata blocks 🌐🌐Landing pages include schema.org annotations 🤝🤝Active and open community 🌍🌍Sachsen-Anhalt FDM 📜📜State-wide common policy for Dataverse adoption 🔄🔄Institutions can choose between Dataverse and DSpace 💻💻Online Consultation with SaxFDM 🚫🚫No universal adoption guideline for Sachsen 👉👉Recommendation to explore Dataverse 🏛🏛TU Dresden (TUD) has recently adopted Dataverse Key Technical Features Metadata View File view –Table File view –Tree Terms Linked to NFDI, EOSC, and more Key Institutional Criteria ioerDATA is the institutional research data publication repository of the Leibniz Institute of Ecological Urban and Regional Development (IOER).It is managed and curated by the institute's Research Data Centre (IOER FDZ).It offers cross-scale high-resolution objects, spatial data, indicators, models, simulations and digital tools.We cover topics such as land-use, landscape quality, settlements, buildings, eco systems, city greenery, and environmental risks. IOER Research Data Center (IOER RDC) Head: Dr. Maria Nieswand Content: S. Sikder Layout: S, Sikder, K. Ludewig, N. Bongaerts Status: 11-2025, Dresden ioer-fdz.de/en Landing Page Goal: Research Data Publication and Management Solution PID (DOI) Plug-in PID (DOI) from the beginning Open data repository solution Research data repository solution Adopted by GovData, City data portals Research Institutions/ Computational social science community Geospatial Extension CKAN vs. Dataverse The Story of ioerDATA Open Research Data Repository to Progress FAIRness in Spatial Sustainability Sciences Sikder, S. K.; Schorcht, M.; Krüger, T.; Chiesa, S. D.; Nieswand, M. Source: https://dataverse.org 139 Installations Leatflet | © OpenStreetMap contributors © CARTO Snowball OPEN We are Open Data Open Access Open Science FAIR Our data is Findability Accessibility Interoperability Reusability CARE We Collective Benefit Authority to Control Responsibility Ethics TRUST Users can Transparency Responsibility User focus Sustainability Technology