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#EMEARC17
Case Studies in Capacity Acquisition:
institutional strategies for sourcing
Research Data Management (RDM) services
Constance Malpas, OCLC Research
#EMEARC17
Research Data and the Evolving Scholarly Record
• Growing attention to research data as a ‘first-class’
research output, requiring long-term stewardship and
discoverability
• Persistent identification and preservation necessary
to support reproducible research
• Digital research environment increasing the volume
and diversity of research data products
#EMEARC17
Library roles in Research Data Management (RDM)
• Training and education on the importance of data
management, compliance with funder Data Management
Plan and open data requirements
• Guidance on appropriate disciplinary repositories for
discoverability and preservation
• Metadata support for deposit of data sets
• Selection, curation of research data in local repositories
#EMEARC17
Rebecca Bryant
Senior Program Officer
Research Library Partnership
Brian Lavoie
Research Scientist
Constance Malpas
Research Scientist
Strategic Intelligence Manager
Project Team
#EMEARC17
Scholarly record evolving alongside research practices
http://oc.lc/esr
 from print-centric to digital and
networked
 from books and journals to data sets,
computer models, presentations…
 from concentration in library
collections to distribution across the
network
#EMEARC17
Framing the Scholarly Record …
#EMEARC17
#EMEARC17
Research Questions
• What are the primary incentives that motivate
university investment in RDM services?
• What factors determine the scope of RDM
service provision in different institutional settings?
• How are services sourced to meet institutional
needs? What informs the build, buy or partner
decisions?
#EMEARC17
Case Study Approach
• Detailed examination of local circumstances and
institutional decision-making
• Insight on how national and institutional contexts
shape local service portfolios
• Leverages OCLC membership and Research
Library Partnership
#EMEARC17
Case Study Partners
Public research universities with global reputation
• University of Edinburgh (UK)
• University of Illinois (US)
• Monash University (Australia)
• Wageningen University (Netherlands)
#EMEARC17
Project Timeline
Develop
framework
Document
case studies
Publish report
series
Community
engagement
Mar – Aug 2017 Sep 2017 Oct ‘16- Feb 2017Jul 2016- Sep 2016
Complete Complete In progress Planning
RDM Service Categories
Decision support and
customised solutions for
specific RDM needs
Tools and services
to build researcher
awareness of good
RDM practice
Technical infrastructure
and services supporting
RDM throughout entire research lifecycle
#EMEARC17
RDM LibGuides
Externally sourced workshops (Data Carpentry etc.)
MANTRA MOOC
Specialist data librarians
Data Curation Centre, 4TU Data Centrum
DataQ
Local research data repository
Metadata support for deposit in external repositories
Consortium or commercial repositories
Sourcing: a spectrum of choices
RDM expertise, innovation a university differentiator
RDM services reduce administrative burden on university researchers
RDM featured as a core library competency
RDM hub is a central
university service
#EMEARC17
Selected Findings
• Institutions are implementing a mix of locally-developed,
cooperatively-sourced and commercially-licensed solutions
• Benefits and tradeoffs of outsourcing services vary with
institutional context and culture
• There is shared concern about sustainability of locally
developed RDM capacity, given diverse disciplinary needs and
uncertainty about long-term costs of large-scale storage
• All participants see increasing need for services around ‘active
data management’ and researcher workflow support
#EMEARC17
Key Insight
• Strategic choices about which RDM services to
internalize or externalize can increase institutional
differentiation, e.g.
Edinburgh’s reputation for data-driven research and
innovation is reinforced by internalizing most EEC
components
Wageningen has externalized curation to national and
group providers to focus on local expertise services
#EMEARC17
Forthcoming reports
I. Overview of RDM services and orientation to
Education, Expertise, Curation framework
II. Scope of RDM services at our case study sites
III. Incentives motivating RDM service development
IV. Factors influencing choices about procurement
(source), deployment (scale) of RDM services
#EMEARC17
What’s Next?
• First report to be published in March, others will
follow this year
• Case study profiles will be shared as underlying
data set for project
• Webinars featuring member stories from OCLC
Research Library Partnership
#EMEARC17
Join the conversation
• Does your library offer RDM services in the Education, Expertise or
Curation categories?
• Are you implementing any cooperatively-sourced RDM services?
(E.g., shared Dataverse, consortial repository, DMP tools, formal
expertise networks)
• What are the primary incentives driving your RDM service strategy?
(E.g., compliance with funder mandates, opportunity to innovate,
distinctive competency or infrastructure capacity)
• What have you stopped doing (or reduced) in order to support RDM?
malpasc@oclc.org
@ConstanceM
Let’s stay in touch:Let’s stay in touch:

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Case Studies in Capacity Acquisition: institutional strategies for sourcing Research Data Management (RDM) services

  • 1. #EMEARC17 Case Studies in Capacity Acquisition: institutional strategies for sourcing Research Data Management (RDM) services Constance Malpas, OCLC Research
  • 2. #EMEARC17 Research Data and the Evolving Scholarly Record • Growing attention to research data as a ‘first-class’ research output, requiring long-term stewardship and discoverability • Persistent identification and preservation necessary to support reproducible research • Digital research environment increasing the volume and diversity of research data products
  • 3. #EMEARC17 Library roles in Research Data Management (RDM) • Training and education on the importance of data management, compliance with funder Data Management Plan and open data requirements • Guidance on appropriate disciplinary repositories for discoverability and preservation • Metadata support for deposit of data sets • Selection, curation of research data in local repositories
  • 4. #EMEARC17 Rebecca Bryant Senior Program Officer Research Library Partnership Brian Lavoie Research Scientist Constance Malpas Research Scientist Strategic Intelligence Manager Project Team
  • 5. #EMEARC17 Scholarly record evolving alongside research practices http://oc.lc/esr  from print-centric to digital and networked  from books and journals to data sets, computer models, presentations…  from concentration in library collections to distribution across the network
  • 8. #EMEARC17 Research Questions • What are the primary incentives that motivate university investment in RDM services? • What factors determine the scope of RDM service provision in different institutional settings? • How are services sourced to meet institutional needs? What informs the build, buy or partner decisions?
  • 9. #EMEARC17 Case Study Approach • Detailed examination of local circumstances and institutional decision-making • Insight on how national and institutional contexts shape local service portfolios • Leverages OCLC membership and Research Library Partnership
  • 10. #EMEARC17 Case Study Partners Public research universities with global reputation • University of Edinburgh (UK) • University of Illinois (US) • Monash University (Australia) • Wageningen University (Netherlands)
  • 11. #EMEARC17 Project Timeline Develop framework Document case studies Publish report series Community engagement Mar – Aug 2017 Sep 2017 Oct ‘16- Feb 2017Jul 2016- Sep 2016 Complete Complete In progress Planning
  • 12. RDM Service Categories Decision support and customised solutions for specific RDM needs Tools and services to build researcher awareness of good RDM practice Technical infrastructure and services supporting RDM throughout entire research lifecycle
  • 13. #EMEARC17 RDM LibGuides Externally sourced workshops (Data Carpentry etc.) MANTRA MOOC Specialist data librarians Data Curation Centre, 4TU Data Centrum DataQ Local research data repository Metadata support for deposit in external repositories Consortium or commercial repositories Sourcing: a spectrum of choices
  • 14. RDM expertise, innovation a university differentiator
  • 15. RDM services reduce administrative burden on university researchers
  • 16. RDM featured as a core library competency
  • 17. RDM hub is a central university service
  • 18.
  • 19.
  • 20. #EMEARC17 Selected Findings • Institutions are implementing a mix of locally-developed, cooperatively-sourced and commercially-licensed solutions • Benefits and tradeoffs of outsourcing services vary with institutional context and culture • There is shared concern about sustainability of locally developed RDM capacity, given diverse disciplinary needs and uncertainty about long-term costs of large-scale storage • All participants see increasing need for services around ‘active data management’ and researcher workflow support
  • 21. #EMEARC17 Key Insight • Strategic choices about which RDM services to internalize or externalize can increase institutional differentiation, e.g. Edinburgh’s reputation for data-driven research and innovation is reinforced by internalizing most EEC components Wageningen has externalized curation to national and group providers to focus on local expertise services
  • 22. #EMEARC17 Forthcoming reports I. Overview of RDM services and orientation to Education, Expertise, Curation framework II. Scope of RDM services at our case study sites III. Incentives motivating RDM service development IV. Factors influencing choices about procurement (source), deployment (scale) of RDM services
  • 23. #EMEARC17 What’s Next? • First report to be published in March, others will follow this year • Case study profiles will be shared as underlying data set for project • Webinars featuring member stories from OCLC Research Library Partnership
  • 24. #EMEARC17 Join the conversation • Does your library offer RDM services in the Education, Expertise or Curation categories? • Are you implementing any cooperatively-sourced RDM services? (E.g., shared Dataverse, consortial repository, DMP tools, formal expertise networks) • What are the primary incentives driving your RDM service strategy? (E.g., compliance with funder mandates, opportunity to innovate, distinctive competency or infrastructure capacity) • What have you stopped doing (or reduced) in order to support RDM?
  • 25. malpasc@oclc.org @ConstanceM Let’s stay in touch:Let’s stay in touch: