1. re3data.org Registry of Research Data Repositories Hans-Jürgen Goebelbecker | Karlsruhe Institute of Technology (KIT) 2014 Open Research Data Days | Lausanne

2. Outline Background Mission Schema and Icons Quality and Workflow Interface Growth Partners Cooperation

3. Background Research data are valuable and ubiquitous New technologies facilitate data-intensive science Broad discussion about the permanent access to research data Increasing requirements from funders to make research data openly available Growing demand for trustable and sustainable research data repositories Trend: data journals

4. Research Data Generic range of research data (with examples) intrinsic findings obervations, measurement data technical documentation, method descriptions Geowissenschaften CERN-Experimente quantum physics software mathematics sociological research geoscience experiments at CERN

5. Research data are of most varied nature. Research data can only imperfectly be treated by an information management like conventional information/library media. Research data repositories (RDRs) often represent an essential stage of compression, abstraction and summary of research data, authorized and authenticated by the producers. RDRs can be operated centrally (institutional RDRs) or locally (disciplinary RDRs). In particular local or disciplinary RDRs are very popular in science because they represent a kind of a bottom up approach in research data management by the research groups themselves. Research Data Repositories

6. „The landscape of data repositories across Europe is fairly heterogeneous, but there is a solid basis to develop a coherent strategy to overcome the fragmentation and enable research communities to better manage, use, share and preserve data.“ Highly heterogeneous landscape of research data repositories Different communities and different approaches EC (2009): ICT infrastructures for e-science

7. The Research Data Repositories Landscape funders scientists journals universities and research labs research data repositories RRZE Icon Set RRZE Icon Set (CC: BY-SA)CC: BY-SA

8. funders scientists journals universities and research labs How can we set up smart repositories? Where can we find data? Where can we store our data? Investigators are expected to share their data! Underlying data must be accessible! Should we offer repositories for all disciplines? RRZE Icon Set RRZE Icon Set (CC: BY-SA)CC: BY-SA The Research Data Repositories Landscape research data repositories

9. Research Data Repositories PANGAEA, www.pangaea.de GEO, www.ncbi.nlm.nih.gov/geo

10. Mission re3data.org is a global registry of research data repositories covers research data repositories from all academic disciplines helps researchers, funding bodies, publishers and scholarly institutions to find research data repositories aims to promote a culture of sharing, increased access and better visibility of research data

11. Schema Schema for the Description of Research Data Repositories The schema covers the following aspects: general information (e.g. short description of the RDR, content types, keywords) responsibilities (e.g. institutions responsible for funding, content or technical issues) policies (e.g. policies of the RDR, incl. there URL) legal aspects (e.g. licenses of the database and datasets) technical standards (e.g. APIs, versioning of datasets, software of the RDR) quality standards (e.g. certificates, audit processes) Vierkant, P., et al. (2013). Schema for the Description of Research Data Repositories. Version 2.1. doi:10.2312/re3.004

12. Icons Information icons help researchers to easily identify an adequate repository for the storage and reuse of their data.

13. Quality / Performance Requirements be run by a legal entity, such as a sustainable institution (e.g. library, university) clarify access conditions to the data and repository as well as the terms of use have an English graphical user interface (GUI) have focus on research data Vierkant, P., et al. (2013). Schema for the Description of Research Data Repositories. Version 2.1. doi:10.2312/re3.004

14. Workflow (simplified) Vierkant, P., et al. (2013). Schema for the Description of Research Data Repositories. Version 2.1. doi:10.2312/re3.004

15. Interface simple search box filters & facettes results icons

16. Details General

17. Details Institutions

18. Details Terms

19. Details Standards

20. Growth Number of RDRs

21. Initial Partners Berlin School of Library and Information Science, Humboldt University Berlin GFZ German Research Centre for Geosciences Karlsruhe Institute of Technology (KIT), KIT Library Funded by the German Research Foundation, DFG

22. Cooperation German Initiative for Network Information (DINI) DataCite (MoU, April 2012) OpenAIRE (MoU, October 2013) BioSharing (MoU, November 2013) Databib (MoU, March 2014) RDA/WDS IG on Certification

23. Cooperation German Initiative for Network Information (DINI) DataCite (MoU, April 2012) OpenAIRE (MoU, October 2013) BioSharing (MoU, November 2013) Databib (MoU, March 2014) RDA/WDS IG on Certification

24. Cooperation http://www.datacite.org/node/115 Databib and re3data.org have agreed to the following five principles for successful cooperation: 1.Openness 2.Optimal quality assurance 3.Development of innovative functionalities 4.Shared leadership 5.Sustainability

25. Upcoming Steps Finalizing the merger between Databib and re3data.org Development of a workflow system Development of an API (Open Data) Implementation of an international Editorial Board (based on the Databib Board) Strong cooperation with DataCite Further engagement with the data repository community

26. Further Information Pampel, H., Vierkant, P., Scholze, F., Bertelmann, R., Kindling, M., Klump, J., Goebelbecker, H.-J., Gundlach, J., Schirmbacher, P., Dierolf, U. (2013). Making Research Data Repositories Visible: The re3data.org Registry. PLOS ONE, 8(11), e78080. doi:10.1371/journal.pone.0078080 info@re3data.org http://re3data.org www.re3data.org goebelbecker@kit.edu

27. Project Team (Status: Oct. 2014 ) GFZ German Research Centre for Geosciences, Library and Information Services (LIS) Roland Bertelmann, Claudio Fuchs, Heinz Pampel Humboldt-Universität zu Berlin, Berlin School of Library and Information Science (BLIS) Maxi Kindling, Jessica Rücknagel, Peter Schirmbacher, Paul Vierkant Karlsruhe Institute of Technology (KIT), KIT Library Hans-Jürgen Goebelbecker, Gabriele Kloska, Evelyn Reuter, Edeltraud Schnepf, Frank Scholze, Angelika Semrau, Michael Skarupianski, Robert Ulrich Purdue University, Distributed Data Curation Center (D2C2) Michael Witt

28. With the exception of all photos and graphics, this slides are licensed under the “Attribution 4.0 International (CC BY 4.0)“ Licence: http://creativecommons.org/licenses/by/4.0/ Thanks for your attention! © Claus Mattheck