Towards (open research) data at research universities (W. Horstmann, LIBER 43rd Annual Conference RECODE workshop, Riga/Lettland, 2.07.2014)

Transcript

1. Towards (open) research data at research universities LIBER 2014, RECODE Workshop, 1 July 2014 Wolfram Horstmann
2. Today  LERU Roadmap  Examples  Bielefeld  Oxford (LERU)  Göttingen  What Libraries Can Do!
3. About LERU  The League of European Research Universities  21 Research Universities  Policy and cooperation  1/5 funding comes from research grants  Research data expert group
4. Science as an open enterprise  Recognition of the enormous potential value of making data open  Open science revolution  Make publication of data in reusable format mandatory
5. Pablo Achard (University of Geneva) Paul Ayris (UCL, University College London) Serge Fdida (UPMC, Paris) Stefan Gradmann (University of Leuven) Wolfram Horstmann (University of Oxford) Ignasi Labastida (University of Barcelona) Liz Lyon (University of Bath) Katrien Maes (LERU) Susan Reilly (LIBER) Anja Smit (University of Utrecht) http://www.leru.org/index.php/public/publications/category/advice-papers/
6. Six Key Areas  Policy and Leadership  Advocacy  Selection and Collections, Curation, Description, Citation, Legal Issues  Research Data Infrastructure  Costs  Roles, Responsibilities and Skills
7. Policy & Leadership  Individual institutions should construct their own roadmap to guide policy development  Institutions should develop a data policy, with supporting guidelines, which outlines the roles and responsibilities of stakeholders
8. Advocacy  Debate on open data across stakeholders and disciplines  Crucial to the success to research data sharing  Promote best practice in data management, citation, interoperability  Incentivise- best practice for promotion and rewards
9. Selection, Collection Curation, Description, Citation & Legal Issues  Consensus on which data to make open?  Interoperability (metadata standards)  Simple guides and principles based on funder mandates, data centre requirements etc.  Who owns the data?  Guidlines on licencing  Legal clarity
10. Which data to make open?
11. Research Data Infrastructure  Institutional infrastructure and tools to fill gaps in exisiting external infrastructure  Tools for creation and analysis, administration, documentation, storage, archiving and publication, discovery  Infrastructure that can cope with the heterogenity of data  Long tail data  Coherent services Stacks of the José Vasconcelos Library in Mexico City, cc-by
12. Costs  Between 1 and 2 million pounds to set up  Circa 500,000 pounds to maintain  Best practice in cost modelling  Shared institutional data management services
13. Roles, Responsibilities & Skills  Clear outline of roles and responsibilties  Investments in skills  Foster open science
14. Example: Bielefeld
15. Bielefeld: Central RDM Activities  Research Data Policy: “Principles”  RDM is inherently decentral  Coordination post funded by the University  Focus group with leading academics  Colloquium Knowledge Infrastructure  Library in close cooperation with IT  Library provides curation and metadata support  IT Services provide servers and storage
16. Centrally Supported RDM actvitity  Data-Service Centre “Business and Organisational Data”  Infrastructure for Collaborative Research Project (50PIs, 12 Years) “From Heterogeneity to Inequality”  Excellence Cluster “Cognitive Interaction Robotics” (100PIs, 10 years)  Library Services: metadata, DOIs, software, calendars, websites…  Storage and housing in IT Services
17. Bielefeld: RDM Resolution
18. Bielefeld: Institutional Repository
19. Example: Oxford
20. RDM Policy
21. RDM Working Group  Chaired by PVC-R  Representation of many stakeholders  Divisions  Libraries  IT Services  Research Services  Many external and departmental activities  Central services as fall-back
22. Multi-Agency Initiative
23. RDM Website
24. Example: Göttingen
26. What Libraries Can Do!
27. Getting started in RDM?  LIBER steering group on scholarly communication and research infrastructures
29.  http://www.libereurope.eu/news/ten-recommendations-for- libraries-to-get-started-with-research-data-management
30. Getting libraries started in RDM  Need for cross service collaboration  Strong case for coherent support service  Lack of clarity about what research data is and how it should be made accessible  Need to go beyond the institution  Investment in advocacy and awareness raising
31. Skills  Recheck the gap  Identify new competencies and skills LIBER, ARL & COAR joint task force on Librarians’ Competencies in Support of E-Research and Scholarly Communication
32. Research Data Alliance  Libraries for Research Data  Birds-of-a-feather session in Amsterdam 22-24 September  Register for mailing and wiki  https://rd-alliance.org/group/libraries-research-data.html
33. Thanks! All content in this presentation is licenced cc-by 4.0 unless otherwise stated