1. UPData A data curation experiment at the University of Porto using DSpace João Rocha da SilvaFEUP Cristina RibeiroDEI- FEUP / INESC-Porto João Correia LopesDEI- FEUP / INESC-Porto Eugénia Matos FernandesU.PORTO Reitoria (Central Services)

2. Contents Motivation – Goals of the experiment Our users, the researchers – Researcher concerns & needs – Adding data curation to the research workflow Building a repository – Using DSpace for research data curation Conclusions

3. MOTIVATION

4. The “standard” research workflow

5. However…

6. GOALS

7. Evaluating the research data management effort Interviewing researchers in several areas Collecting data samples Documenting use cases for research data Identifying data curation practices

8. Project Phases Gather Datasets & Use Cases Specify WorkflowBuild platformDeposit Datasets Phase 1 : Interviews

9. Our users, the researchers …are not data preservation experts...use many document formats...create and gather data from many sources

10. Researcher concerns and needs Repositories cannot be “graveyards for data”, they have to provide effective ways to access the stored data Data has to be well annotated or else cannot be reused (experiment contexts, meanings of variables…) Better ways to find data (e.g. domain-specific restrictions and not just generic metadata)

11. Researcher concerns and needs Easy sharing of data (e.g. sending a link to the place where a user can find a specific dataset) Researchers can be cited by their peers through the datasets that they offer Ensuring reproducibility of scientific findings

12. Project Phases Gather Datasets & Use Cases Specify WorkflowBuild platformDeposit Datasets Phase 2 : Determine changes to current workflow

13. ADDING A DATA CURATION STEP TO THE RESEARCH WORKFLOW

14. The role of the “Data Curator”

15. Data curation meeting

16. Annotating data

17. After the meeting Data+Metadata in Excel format

18. How other researchers will see it Explore Filter Download just what you need

19. Project Phases Gather Datasets & Use Cases Specify WorkflowBuild platformDeposit Datasets Phase 3 : Build tools to support the workflow

21. Project Phases Gather Datasets & Use Cases Specify WorkflowBuild platformDeposit Datasets Phase 4 : Test tool using real world data

22. DATA DEPOSIT - DEMO

23. VIDEO 1

24. DATA EXPLORING AND DOWNLOAD - DEMO

25. VIDEO 2

26. FIND DATASETS - DEMO

27. VIDEO 3

28. Conclusions + Future Work Some data management requirements of the researchers at U.Porto have been analysed and approached Dspace has been successfully customized to include Data Exploration capabilities for tabular data Future Work Gather feedback on the data repository extension from the group of researchers who have been interviewed

29. Thank you João Rocha da Silvajoaorosilva@gmail.com Cristina Ribeiromcr@fe.up.pt João Correia Lopesjlopes@fe.up.pt