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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 )
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
Content
• KU Leuven Context
• Infrastructure & integrations
• Using KU Leuven RDR
• RDR is FAIR-enabling
• Lessons learned and work ahead
3
KU Leuven Context
4
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
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?
Infrastructure & Integrations
7
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
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
Using KU Leuven RDR
10
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
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
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
RDR is FAIR-enabling
14
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
Lessons learned and work
ahead
16
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
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
rdr.kuleuven.be
19

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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
  • 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?
  • 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
  • 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

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