Libraries and Research Data Management – What Works? LERU´s Recommendations on RDM

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This presentation by Dr Wolfram Horstmann was given at the Scholarly Communication and Research Infrastructures Steering Committee Workshop. The workshop title was Libraries and Research Data Management – What Works?

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  • Have a vote first for all recommendations – show the color which fits best for you
    What is the main color of all votes (for each of the 10 recommendations)
  • Libraries and Research Data Management – What Works? LERU´s Recommendations on RDM

    1. 1. Libraries and Research Data Management – What Works? LERU‘s Recommendations on RDM Steering Committee Scholarly Communication and Research Infrastructures LIBER Annual Conference, Riga, 2 July 2014 Dr Wolfram Horstmann, Goettingen State and University Library, SC SCRI Vice-Chair
    2. 2. 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 2
    3. 3. 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 3
    4. 4. http://www.leru.org/index.php/public/publications/category/advice-papers/ 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) 4
    5. 5. Six Key Areas  Policy and Leadership  Advocacy  Selection and Collections, Curation, Description, Citation, Legal Issues  Research Data Infrastructure  Costs  Roles, Responsibilities and Skills 5
    6. 6. 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 6
    7. 7. 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 7
    8. 8. 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 8
    9. 9. Which data to make open? 9
    10. 10. 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 10
    11. 11. 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 11
    12. 12. Roles, Responsibilities & Skills  Clear outline of roles and responsibilties  Investments in skills  Foster open science 12
    13. 13. Coming back to the 10 recommendations: Have your say Let’s vote on the 10 recommendations – your institution’s level of engagement in one color What is the message you’d like to share? What recommendation is missing? 13 Your level-of-engagement card Red – You have not started yet but would love to, why? What would you need? Yellow – First steps have been taken, what works well, what challenges do you face? Green – You feel more confident, what message would you like to share? 13
    14. 14. 10 Recommendations for libraries to get started with research data management Regrouping the recommendations – Areas of engagement Support services #1 Offer research data management support, including data management plans for grant applications, intellectual property rights advice and information materials. Assist faculty with data management plans and the integration of data management into the curriculum. #6 Support the lifecycle for research data by providing services for storage, discovery and permanent access. Infrastructure & standards #2 Engage in the development of metadata and data standards and provide metadata services for research data. #5 Liaise and partner with researchers, research groups, data archives and data centers to foster an interoperable infrastructure for data access, discovery and data sharing. #7 Promote research data citation by applying persistent identifiers to research data. #8 Provide an institutional Data Catalogue or Data Repository, depending on available infrastructure. #10 Offer or mediate secure storage for dynamic and static research data in co-operation with institutional IT units and/or seek exploitation of appropriate cloud services. Policy & disciplinary practices #4 Actively participate in institutional research data policy development, including resource plans. Encourage and adopt open data policies where appropriate in the research data life cycle. #7 ... (with some disciplinary views on data citation) Skills & staffing #3 Create Data Librarian posts and develop professional staff skills for data librarianship. #1 … and the integration of data management into the curriculum. 14
    15. 15. Your expectations towards the SC? Organize a LIBER-wide survey on RDM? Workshop on practical issues – writing DMPs and more advanced topics A pool of materials with recommendations? 15

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