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DataRepositóriUM
publish, manage and share research data
Pedro Príncipe | 2 March 2022 | 2nd Technical Meeting of BioData.pt Association
DataRepositóriUM
Launched on February 17th, 2020
https://datarepositorium. uminho.pt
DATA REPOSITORY IS A SERVICE INTEGRATED
IN THE RDM STRATEGY DEFINED FOR UMINHO
http://hdl.handle.net/1822/63930
https://dataverse.org/
DATAVERSE IS A SOFTWARE
Repository software platform
DATAVERSE IS A COMMUNITY
Promote data management and sharing worldwide
DATAVERSE IS A REPOSITORY
Find, share, cite and publish data
SHARE
Promote data sharing
and the practice of Open
Science.
PUBLISH
Make data available for
reuse and generate
greater impact.
MANAGE
Ensure good
documentation and data
management practices
Scheme from University of California- Irvine http://www.lib.uci.edu/dss
KEY COMPONENT OF
RDM ECOSYSTEM
But just a piece of
the puzzle…
DataRepositóriUM: why?
(…) how is being introduced?
The Data Repository will not solve all the needs identified in UMinho… but:
It will unlock the many limitations felt today by researchers in research data curation.
It will be a self-curated tool with dataset registration and file deposit that will contribute
to the generation of good practices in data management, sharing and making data FAIR.
Data RepositóriUM: immediate gains
• Registration of persistent identifiers (DOI);
• Enable data citation and credit to data producers;
• Self-deposit of files by datasets and in collections organised by UOEI/research unit;
• Preservation of files and datasets;
• Supporting compliance with the European Commission's Open Science requirements;
• Assisting authors in giving publishers access to data underlying publications;
• Allow controlled access to data and identification of users;
• Allocate licenses for the use of the datasets and explain the terms of use of the files;
• Document the datasets with adequate descriptive and administrative information;
• Facilitate the dissemination of research results.
DataRepositóriUM / Dataverse (flexible) structure
DATAVERSE = collection / repository / community
DATASET = dataset recording with files
FILE = files that comprise the datasets
DataRepositóriUM / Dataverse highlights
SECURE DATA
MANAGEMENT.
TRACK CHANGES.
EFFECTIVE SHARING.
SUPPORT FOR FAIR
DATA PRINCIPLES
SAVE TIME.
DataRepositóriUM / Dataverse highlights
ORGANIZATION AND
COMPATIBILITY.
INCREASE
RESEARCH VISIBILITY.
MEET GRANT
REQUIREMENTS.
LONG-TERM ACCESS
AND PRESERVATION.
DataRepositóriUM in practice
DOI: 10.34622/datarepositorium/QUV6OP
DOI
CITATION
USAGES STATS
DataRepositóriUM in practice
SET OF FILES
TERMS OF USE & CONTROLED ACCESS
VERSIONING
DataRepositóriUM in practice
https://datarepositorium.uminho.pt/dataverse/eduplaces
PROJECTS DATAVERSE
FUNDER IDENTIFICATION
Questions?
Thanks!
pedro.principe@usdb.uminho.pt
Pedro Príncipe

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DataRepositóriUM - publish, manage and share research data (2nd Technical Meeting of BioData.pt )

  • 1. DataRepositóriUM publish, manage and share research data Pedro Príncipe | 2 March 2022 | 2nd Technical Meeting of BioData.pt Association
  • 2. DataRepositóriUM Launched on February 17th, 2020 https://datarepositorium. uminho.pt
  • 3. DATA REPOSITORY IS A SERVICE INTEGRATED IN THE RDM STRATEGY DEFINED FOR UMINHO http://hdl.handle.net/1822/63930
  • 4. https://dataverse.org/ DATAVERSE IS A SOFTWARE Repository software platform DATAVERSE IS A COMMUNITY Promote data management and sharing worldwide DATAVERSE IS A REPOSITORY Find, share, cite and publish data
  • 5. SHARE Promote data sharing and the practice of Open Science. PUBLISH Make data available for reuse and generate greater impact. MANAGE Ensure good documentation and data management practices
  • 6. Scheme from University of California- Irvine http://www.lib.uci.edu/dss KEY COMPONENT OF RDM ECOSYSTEM But just a piece of the puzzle…
  • 7. DataRepositóriUM: why? (…) how is being introduced? The Data Repository will not solve all the needs identified in UMinho… but: It will unlock the many limitations felt today by researchers in research data curation. It will be a self-curated tool with dataset registration and file deposit that will contribute to the generation of good practices in data management, sharing and making data FAIR.
  • 8. Data RepositóriUM: immediate gains • Registration of persistent identifiers (DOI); • Enable data citation and credit to data producers; • Self-deposit of files by datasets and in collections organised by UOEI/research unit; • Preservation of files and datasets; • Supporting compliance with the European Commission's Open Science requirements; • Assisting authors in giving publishers access to data underlying publications; • Allow controlled access to data and identification of users; • Allocate licenses for the use of the datasets and explain the terms of use of the files; • Document the datasets with adequate descriptive and administrative information; • Facilitate the dissemination of research results.
  • 9. DataRepositóriUM / Dataverse (flexible) structure DATAVERSE = collection / repository / community DATASET = dataset recording with files FILE = files that comprise the datasets
  • 10. DataRepositóriUM / Dataverse highlights SECURE DATA MANAGEMENT. TRACK CHANGES. EFFECTIVE SHARING. SUPPORT FOR FAIR DATA PRINCIPLES SAVE TIME.
  • 11. DataRepositóriUM / Dataverse highlights ORGANIZATION AND COMPATIBILITY. INCREASE RESEARCH VISIBILITY. MEET GRANT REQUIREMENTS. LONG-TERM ACCESS AND PRESERVATION.
  • 12. DataRepositóriUM in practice DOI: 10.34622/datarepositorium/QUV6OP DOI CITATION USAGES STATS
  • 13. DataRepositóriUM in practice SET OF FILES TERMS OF USE & CONTROLED ACCESS VERSIONING

Hinweis der Redaktion

  1. Secure data management. Dataverse supports the creation of terms of use and restrictions if you want to limit the use of or access to data. It also provides a backup copy for safekeeping.​ Effective sharing. Dataverse is a convenient way to disseminate your data, and can facilitate your research team’s collaboration within a secure space.​ Track changes. Dataverse provides file version control for managing changes to a project without overwriting any part of that project, an especially useful feature when working on a team.​ Long-term access and preservation. Persistent identification and normalization of your data ensures reliable access and prevention from data obsolescence.
  2. Organization and compatibility. Create your own personal web data archive that conforms to international data standards to maximize system compatibility and searchability.​ Save time. Dataverse has an easy to use interface for uploading and sharing your data.​ Increase research visibility. Increase scholarly recognition for your work beyond your research publications.​ Meet grant requirements. Many funding agencies now require that researchers deposit data which is collected as part of their research project into an archive.