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20221121_KU Leuven Research Data Repository_OpenScienceBelgium.pptx

24 de Nov de 2022
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20221121_KU Leuven Research Data Repository_OpenScienceBelgium.pptx

  1. KU Leuven RDR: Implementation of an institutional research data repository to enable FAIR data publication Open Science: connecting the actors - Roundtable – Working together to create Open Data solutions, 21/11/2022 Dieuwertje Bloemen, Productmanager RDR (dieuwertje.bloemen@kuleuven.be )
  2. About LIBIS • Part of KU Leuven Libraries and Leuven R&D • Digital service provider managing KU Leuven wide solutions • Institutional research data repository • Current research information system • Library catalogue • Digital preservation platform • … • Working with researchers in the design and development of scalable and sustainable RI 2
  3. Content • KU Leuven Context • Infrastructure & integrations • Using KU Leuven RDR • RDR is FAIR-enabling • Lessons learned and work ahead 3
  4. KU Leuven Context 4
  5. KU Leuven Libraries Library Services KU Leuven Libraries LIBIS Research Coordination Office ICTS KU Leuven Libraries Library Services Support Association RDM @ KU Leuven RDM Steering committee • WG Policy • WG Education & advice ( RDM-CC) • WG Infrastructure Active data  ICTS lead Data publication  LIBIS lead • RDM-CC 5
  6. All domains KU Leuven Support Storage RDR is KU Leuven’s institutional research data repository for the publication of research datasets Institutional repository RDR is open for data from all domains and disciplines practiced at KU Leuven Across domains RDR provides custom support for its users and detailed guidance online Custom support The storage and servers are managed by and located at KU Leuven KU Leuven managed What is KU Leuven RDR?
  7. Infrastructure & Integrations 7
  8. Infrastructure • Open-Source Dataverse software • With our own adaptations: • Metadata model in line with international standards & Flemish requirements • Integrations with other LIBIS & KU Leuven systems • Automatic reporting to university’s, Flemish, and European metadata aggregators 8 Customizations Flemish University European RDR Other LIRIAS
  9. Integrations 9 • Author Look-up • Look up authors in SAP • Auto-fill author fields • Related Publication Look-up • Look up publications in Lirias • Auto-fill related publication fields • Dataset Claimer • Register externally published datasets’ metadata semi-automatically
  10. Using KU Leuven RDR 10
  11. Who can access RDR? CC-BY-4.0 Everyone KU Leuven personnel Find published data Access openly available data Download openly available data Additionally: Create draft datasets Publish datasets ORCID required
  12. Login Go to rdr.kuleuven.be Use KU Leuven login Submit for review Once ready, submit for review If returned, edit and submit again Create dataset Click on “Add Data” Supply metadata Upload files Edit dataset Edit file acces settings Additional metadata Select a license RDR data deposit workflow
  13. Metadata Check if metadata is supplied in the correct format Approve/return Approve if everything is in order Return to author if there are issues Files README file Access settings on file level Terms Presence of a license Correct license type (data/code) RDR review workflow
  14. RDR is FAIR-enabling 14
  15. RDR is FAIR-enabling CC-BY-4.0 DOI Metadata File structuring F Findable Preferred file formats Metadata Documentation Interoperable I Open download infrastructure Preferred file formats Accessbile A License information Documentation Versioning Reusable R
  16. Lessons learned and work ahead 16
  17. Lessons learned • Right decision to go for Dataverse open source software • Intensive stakeholder consultation, from legal advisors to researchers • Data publication not yet embedded in research practices  Continuous investment in the infrastructure, stakeholder consultation, and awareness creation and training of researchers remains needed 17
  18. Work ahead • Increase awareness of RDR and data publication with KU Leuven researchers • Simplify/automate data upload • Integrations with active data systems (e.g. iRods, GitLab, OSF, RedCap etc.) • Prepare for CoreTrustSeal certification • Implement long-term preservation curation and workflow 18
  19. rdr.kuleuven.be 19

Notas do Editor

  1. 15 minuten
  2. A dataset = combination of data, code, metadata and documentation. A dataset can contain one or more files. Launched in January 2022
  3. Lirias  Limo & FRIS OAI-PMH harvesting for OpenAire Crawled automatically by Google Dataset Search Findability & increased visibility or KU Leuven research & research outputs
  4. Upload files + README file
  5. And updated whenever creator wants with versioning, though will always pass through review phase again.
  6. DOI: part of metadata Metadata: openly available & machine-readable File structuring possible for file findability Open (with access information on dataset & file level) Documentation: README is mandatory
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