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The Role of Libraries
in the Adoption of
Research Data Management
Parallel Sessions – Session 1 – Best Practices,
LIBER 2017 – Patras, Greece, 5-07-2017
What to Expect?
• Brief introduction to RDM
• The National Coordination Point
Research Data Management in the
Netherlands (LCRDM)
• Brief overview of RDM challenges
in Germany & UK
• Wageningen University Use Case
2
Context of RDM
• Growing importance, complexity and amount of data in
research -> data intensive research
• Reproducibility of research: efficiency & integrity ->
documenting research & permanent access to data: reuse of
data & integrity scientific research
• Open Science: valorization of data intensive research
(activities)/ FAIR approach of the Research Data Cycle
researcher
Issue
Many RDM initiatives and collaborations already underway at the
various universities and research institutions in the Netherlands,
but:
• Fragmentation and overlap in RDM activities and approaches
• No coherence in RDM policy development, research support
and service development
• Re-inventing the wheel; not taking advantage of expertise
and experiences within the own sector and between various
stakeholders (inside and outside the institution)
• No view on current state of RDM in the Netherlands
Objective
Support the most effective use of data in research & education
by
strengthening the knowledge pooling and knowledge sharing on
all aspects of research data management
for the benefit of:
• Research
• Researcher and research community
• Research institution
• Research funder
Approach
To enhance and support:
Collaboration Coordination Knowledge Sharing
on RDM policy and practice at a national level
• with an international link
• in synchronisation with all stakeholders involved
• making use of existing tools and initiatives
National Coordination Point RDM
(What?)
Prepare
Facilitate
Monitor
the development and implementation of RDM policy in an
efficient and effective way for academic research
• in close collaboration with those working in the field (bring
the right people together)
• to collect, share and disseminate knowledge, experience,
expertise, solutions, best practices and standards at
national level
National Coordination Point RDM
(Goal)
•Obtaining a good overview of existing initiatives;
•Sharing successful approaches and results and
promoting their re-use;
•Identifying gaps, putting them on the agenda and
preparing administrative decisions.
LCRDM approach
Quickscan (2015-2016): 80 plus interviews with RDM experts
and stakeholders
Roadmap (Dec. 2015)
5 focal points
Each focal point  working group
Facilities & Data
Infrastructur
Financial Aspects
of RDM
Research Support
& Advise
Engagement
Legal Issues &
Ownership
Working Groups: How do they work?
• One or two Chairs
• Working Agenda with short term, mid term, longer term goals
and concrete topics to work on
• Representatives from all stakeholders
=> Universities
=> University Medical Centers
=> Research Institutions KNAW, NWO, TNO SURF community
=> Financers
=> University of Applied Sciences
Mission LCRDM
To prepare, facilitate and monitor the development and implementation of RDM Policy for scientific research in the
Netherlands, in close cooperation with the professional field, and to ensure the exchange of knowledge and
experience on a national level so that the Netherlands can achieve an efficient and effective development and
implementation of research data management.
Results 15-17: Community Building
•Support organisation (SURF)
•Working groups in place: 72 members, dealing with 17 topics on 5
RDM aspects, creating over 40 products: inventories, advices, tools,
models, reference cards etc. to be delivered in 2016-2017
•Visible, knowledgeable and efficient RDM community has been
build, under the LCRDM umbrella
•Working group members benefit from two way relevance:
• profiling & bringing in expertise from own institution
• using expertise from outside into own institution
Working Groups
Facilities & Data Infrastructure
12
Research Support & Advise
Financial Aspects
Legal Aspects & OwnershipEngagement
Products
Reference Architecture Discussion Model
Services and Facilities Catalogue
Wiki RDM Glossary
Reference Cards – Privacy: Why, How, What?
GDPR Advise for Practical ApproachGDPR Internet Consultation – for VSNU
GDPR Maturity Model
Conference Publication Symposium
Designing & Shaping Open Science (2016)
Privacy by Design Guidance
Review VSNU Code of conduct use of personal data in scientific research
Template Informed
Consent & Example
Legal Contract Templates
Wiki Expert Network (Ethical/Legal)
Position Paper Ownership of Data Position Paper Financial Aspects of RDM
Inventory DMP Templates
Document on DMP Criteria
Inventory DMP Support (Tips & Trends)
Inventory DMP Reviewers (via Questionnary)
Inventory DMP Tools
Advise DMP Tooling
Round Table Financers & Governance
Inventory FAIRness
Data Repositiories in
NL (TU Delft)
Wiki – Overview Common Elements Curriculae
Position Paper FAIR data
Wiki Inventory RDM Training
Advise on Profiles Related Training Portfolio’s
RDM Training MOOC
Advise on Software Sustainability
Decision Tree Privacy Related Research & Data Sharing Overview RDM Requirements Funders
Position Paper Incentives
Overview Use Cases Incentives Information Material Incentives
RDM Status Measurement – Interviews
Mind Map Shades of Open Engagement Meetings
Looking ahead (I): plans & challenges
for 2017/2018:
• Finalising working agenda’s and results of working groups
• Sustainability of results: planning for support and maintenance of results
• Implementation of results: supporting and monitoring implementation of
results
• Creating coherence of results: connecting the results of the various working
groups into a coherent package of RDM policies, services, tools and support
models
• Stakeholder support: broadening and strengthening reference/advisory
group with various stakeholders in the Netherlands
• RDM monitor to indicate RDM progress in the Netherlands
• Create future vision for LCRDM (in terms of topics, implementation etc.)
• International connection
Looking Ahead (II): Vision 2020
(as formulated in 2015)
In 2020, research data management will be a naturally integral part of the way of thinking
about and practicing research and education in Dutch research universities and research
institutions. This will be implemented in such a way that:
there is synergy between policy, ICT and research support that allows researchers to employ
sound research data management;
there is a connection between (the experts from) organisations conducting research,
general and technical services organisations and research funding organisations;
administrative embedding of the Research Data Management Policy is achieved.
The National Coordination Point Research Data Management has successfully facilitated and
supported this process in close cooperation with the professional field and is a role model
for national strategy in the international field
Research Data Management is sustained on all levels (funding, policy, service provision)
• Funding (governance)
• Resources / Knowledgeble
staff
• Turning policy into
practice
• Create commitment in
endurable cooperation
• Connecting to the
research communities
Challenges
NL
UK GE
Based on Meeting German Council for Scientific
Information Infrastructures (RfII), Berlin, jan 2017
• Data production grows
faster then data use
• Funding staff is
important, besides
funding hardware
• Data curation alone is
not enough: RDM
concerns the whole
research cycle
• Do not forget Software
Sustainability
• Research Councils are
relevant drivers for
change in RDM
• Converge the
fragmented national
landscape to more
alignment in RDM policy
• Communication,
training & the human
factor are essential for
good RDM
• Cooperate on
international level
towards OS
The Absolute Necessity for RDM
17
researcher
IT
Essential Role of Libraries In RDM
• Research Support – Taking care of the
Researcher in RDM throughout the Full Research
Cycle: before – during – after research
• Knowledgable RDM staff
• Intermediate for connection between Research
Communities to enhance FAIR data, FAIR
research, FAIR institutions
(Findable, Accessible, Interoperable, Reusable)
And now over to the Wageningen Use Case
18
Wageningen University Use Case
Research Data Management Adoption
and how the Library contributed
Its a cyclic process!
Initiative
Collaboration
FeedbackServices
Communication
Initiative - /ɪ'nɪʃətɪv/
In 2010 we took the initiative to:
• Have informal meetings on RDM with front
runner researchers
• Have less informal meetings with University
Board
• Start Data Archiving pilots and develop
archiving workflows
Collaboration - /kəˌlæbə'reɪʃən/
In 2010 we started to collaborate with:
• Wageningen Graduate Schools
• Individual researchers
• IT, Archive, Legal services
• National Collaboration
You can not do RDM alone!
Feedback - /'fi:dbæk/
Always be open to feedback:
• It is never a problem when you do something
wrong
• Prototype! Ask feedback! Redefine!
You should not create RDM services
which remain unused!
Services- /'sɜ:vɪsɪz/
Develop services that researchers ask for:
• GitHub service
• Elab note book support
• Support archiving process
• Support domain specific solutions
You should not create RDM services
which remain unused!
Communication- /kəˌmju:nɪ'keɪʃən/
26

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The Role of Libraries in the Adoption of Research Data Management. Ingeborg Verheul, SURFsara. Jacquelijn Ringersma, Wageningen University & Research.

  • 1. The Role of Libraries in the Adoption of Research Data Management Parallel Sessions – Session 1 – Best Practices, LIBER 2017 – Patras, Greece, 5-07-2017
  • 2. What to Expect? • Brief introduction to RDM • The National Coordination Point Research Data Management in the Netherlands (LCRDM) • Brief overview of RDM challenges in Germany & UK • Wageningen University Use Case 2
  • 3. Context of RDM • Growing importance, complexity and amount of data in research -> data intensive research • Reproducibility of research: efficiency & integrity -> documenting research & permanent access to data: reuse of data & integrity scientific research • Open Science: valorization of data intensive research (activities)/ FAIR approach of the Research Data Cycle researcher
  • 4. Issue Many RDM initiatives and collaborations already underway at the various universities and research institutions in the Netherlands, but: • Fragmentation and overlap in RDM activities and approaches • No coherence in RDM policy development, research support and service development • Re-inventing the wheel; not taking advantage of expertise and experiences within the own sector and between various stakeholders (inside and outside the institution) • No view on current state of RDM in the Netherlands
  • 5. Objective Support the most effective use of data in research & education by strengthening the knowledge pooling and knowledge sharing on all aspects of research data management for the benefit of: • Research • Researcher and research community • Research institution • Research funder
  • 6. Approach To enhance and support: Collaboration Coordination Knowledge Sharing on RDM policy and practice at a national level • with an international link • in synchronisation with all stakeholders involved • making use of existing tools and initiatives
  • 7. National Coordination Point RDM (What?) Prepare Facilitate Monitor the development and implementation of RDM policy in an efficient and effective way for academic research • in close collaboration with those working in the field (bring the right people together) • to collect, share and disseminate knowledge, experience, expertise, solutions, best practices and standards at national level
  • 8. National Coordination Point RDM (Goal) •Obtaining a good overview of existing initiatives; •Sharing successful approaches and results and promoting their re-use; •Identifying gaps, putting them on the agenda and preparing administrative decisions.
  • 9. LCRDM approach Quickscan (2015-2016): 80 plus interviews with RDM experts and stakeholders Roadmap (Dec. 2015) 5 focal points Each focal point  working group Facilities & Data Infrastructur Financial Aspects of RDM Research Support & Advise Engagement Legal Issues & Ownership
  • 10. Working Groups: How do they work? • One or two Chairs • Working Agenda with short term, mid term, longer term goals and concrete topics to work on • Representatives from all stakeholders => Universities => University Medical Centers => Research Institutions KNAW, NWO, TNO SURF community => Financers => University of Applied Sciences Mission LCRDM To prepare, facilitate and monitor the development and implementation of RDM Policy for scientific research in the Netherlands, in close cooperation with the professional field, and to ensure the exchange of knowledge and experience on a national level so that the Netherlands can achieve an efficient and effective development and implementation of research data management.
  • 11. Results 15-17: Community Building •Support organisation (SURF) •Working groups in place: 72 members, dealing with 17 topics on 5 RDM aspects, creating over 40 products: inventories, advices, tools, models, reference cards etc. to be delivered in 2016-2017 •Visible, knowledgeable and efficient RDM community has been build, under the LCRDM umbrella •Working group members benefit from two way relevance: • profiling & bringing in expertise from own institution • using expertise from outside into own institution
  • 12. Working Groups Facilities & Data Infrastructure 12 Research Support & Advise Financial Aspects Legal Aspects & OwnershipEngagement
  • 13. Products Reference Architecture Discussion Model Services and Facilities Catalogue Wiki RDM Glossary Reference Cards – Privacy: Why, How, What? GDPR Advise for Practical ApproachGDPR Internet Consultation – for VSNU GDPR Maturity Model Conference Publication Symposium Designing & Shaping Open Science (2016) Privacy by Design Guidance Review VSNU Code of conduct use of personal data in scientific research Template Informed Consent & Example Legal Contract Templates Wiki Expert Network (Ethical/Legal) Position Paper Ownership of Data Position Paper Financial Aspects of RDM Inventory DMP Templates Document on DMP Criteria Inventory DMP Support (Tips & Trends) Inventory DMP Reviewers (via Questionnary) Inventory DMP Tools Advise DMP Tooling Round Table Financers & Governance Inventory FAIRness Data Repositiories in NL (TU Delft) Wiki – Overview Common Elements Curriculae Position Paper FAIR data Wiki Inventory RDM Training Advise on Profiles Related Training Portfolio’s RDM Training MOOC Advise on Software Sustainability Decision Tree Privacy Related Research & Data Sharing Overview RDM Requirements Funders Position Paper Incentives Overview Use Cases Incentives Information Material Incentives RDM Status Measurement – Interviews Mind Map Shades of Open Engagement Meetings
  • 14. Looking ahead (I): plans & challenges for 2017/2018: • Finalising working agenda’s and results of working groups • Sustainability of results: planning for support and maintenance of results • Implementation of results: supporting and monitoring implementation of results • Creating coherence of results: connecting the results of the various working groups into a coherent package of RDM policies, services, tools and support models • Stakeholder support: broadening and strengthening reference/advisory group with various stakeholders in the Netherlands • RDM monitor to indicate RDM progress in the Netherlands • Create future vision for LCRDM (in terms of topics, implementation etc.) • International connection
  • 15. Looking Ahead (II): Vision 2020 (as formulated in 2015) In 2020, research data management will be a naturally integral part of the way of thinking about and practicing research and education in Dutch research universities and research institutions. This will be implemented in such a way that: there is synergy between policy, ICT and research support that allows researchers to employ sound research data management; there is a connection between (the experts from) organisations conducting research, general and technical services organisations and research funding organisations; administrative embedding of the Research Data Management Policy is achieved. The National Coordination Point Research Data Management has successfully facilitated and supported this process in close cooperation with the professional field and is a role model for national strategy in the international field Research Data Management is sustained on all levels (funding, policy, service provision)
  • 16. • Funding (governance) • Resources / Knowledgeble staff • Turning policy into practice • Create commitment in endurable cooperation • Connecting to the research communities Challenges NL UK GE Based on Meeting German Council for Scientific Information Infrastructures (RfII), Berlin, jan 2017 • Data production grows faster then data use • Funding staff is important, besides funding hardware • Data curation alone is not enough: RDM concerns the whole research cycle • Do not forget Software Sustainability • Research Councils are relevant drivers for change in RDM • Converge the fragmented national landscape to more alignment in RDM policy • Communication, training & the human factor are essential for good RDM • Cooperate on international level towards OS
  • 17. The Absolute Necessity for RDM 17 researcher IT
  • 18. Essential Role of Libraries In RDM • Research Support – Taking care of the Researcher in RDM throughout the Full Research Cycle: before – during – after research • Knowledgable RDM staff • Intermediate for connection between Research Communities to enhance FAIR data, FAIR research, FAIR institutions (Findable, Accessible, Interoperable, Reusable) And now over to the Wageningen Use Case 18
  • 19. Wageningen University Use Case Research Data Management Adoption and how the Library contributed
  • 20. Its a cyclic process! Initiative Collaboration FeedbackServices Communication
  • 21. Initiative - /ɪ'nɪʃətɪv/ In 2010 we took the initiative to: • Have informal meetings on RDM with front runner researchers • Have less informal meetings with University Board • Start Data Archiving pilots and develop archiving workflows
  • 22. Collaboration - /kəˌlæbə'reɪʃən/ In 2010 we started to collaborate with: • Wageningen Graduate Schools • Individual researchers • IT, Archive, Legal services • National Collaboration You can not do RDM alone!
  • 23. Feedback - /'fi:dbæk/ Always be open to feedback: • It is never a problem when you do something wrong • Prototype! Ask feedback! Redefine! You should not create RDM services which remain unused!
  • 24. Services- /'sɜ:vɪsɪz/ Develop services that researchers ask for: • GitHub service • Elab note book support • Support archiving process • Support domain specific solutions You should not create RDM services which remain unused!
  • 26. 26