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

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


SUB Göttingen

July 06, 2015


  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)
  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

  25. None
  26. What Libraries Can Do!

  27. Getting started in RDM?  LIBER steering group on scholarly

    communication and research infrastructures
  28. None
  29.  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 
  33. Thanks! All content in this presentation is licenced cc-by 4.0

    unless otherwise stated