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RDM Roadmap@Edinburgh
- an institutional approach


 Stuart Macdonald
 EDINA & Data Library

 Email: stuart.macdonald@ed.ac.uk




                    EDINA Projects Day, 11 December, 2012
Background

Edinburgh Data Audit Framework (DAF) Implementation (May – Dec 2008)


A JISC-funded pilot project produced 6 case studies from research units
across the University in identifying research data assets and assessing their
management, using DAF methodology developed by the Digital Curation Centre.

4 main outcomes:

•       Develop online RDM guidance
•       Develop RDM training
•       Develop university research data management policy
•       Develop services & support for RDM (in partnership IS)
Context

• The University of Edinburgh is a world-leading centre of academic
  excellence with a mission for the creation, dissemination and
  curation of knowledge.

• Information Services (IS), a support group within the University,
  contributes to the University’s mission by striving to provide a
  Knowledge Management and Information Service appropriate for
  supporting and enabling learners, researchers and teachers in a
  world-class University.
Drivers
• Research data management policy* containing 10 ten aspirational
  statements affirming both the researchers’ and the University’s
  responsibilities, e.g.
     •     Data will be managed to highest standards throughout the research data lifecycle
     •     PI responsible for RDM
     •     University will provide RDM support and training
     •     University will provide RDM services (such as back-up, storage, deposit)
     •     Data retained elsewhere will be registered with the University
     •     RDM plans must ensure that data are available for access and re-use under
           appropriate safeguards

• A research data storage paper was submitted to the University’s IT
  Committee in 2010, with six key recommendations for the University’s data
  infrastructure .
    * http://www.ed.ac.uk/schools-departments/information-services/about/policies-and-regulations/research-data-policy
Implementation Committee

An RDM Policy Implementation Committee has been set up by the Vice
Principal Knowledge Management and Chief Information Officer, Jeff
Haywood to implement recommendations:

•   Membership from across IS
•   Charged with delivering services that will meet RDM policy objectives
    which can be achieved in the near term.

The Vice Principal also established a Steering Committee led by Professor
Peter Clarke (School of Physics) comprising members from each of the 3
colleges, IS and Edinburgh Research and Innovation (ERI).

Their role is to provide oversight to the activity of the Implementation
Committee, ensuring the services meet the needs of University researchers.
Roadmap

•   The Executive Summary of the Information Services Plan, 2012-13
    states, “Research data management & storage – policies, training,
    curation, preservation, baseline 0.5Tb/user,” is a major IS-led project
    for the year.

•   The RDM roadmap sets out a high level plan for its delivery, noting
    objectives, outcomes, deliverables and target dates for the 18-month
    period July 2012-January 2014, across four strategic areas:
Data Management Planning



Support and services for planning activities that are typically performed before
research data is collected or created – addresses policy points 3, 4

Example services might include:

     • Bespoke Data Management Planning support
     • Customised Data Management Planning tool
Active Data Infrastructure



Facilities to store data that is actively used in current research activities, to provide
access to that storage, and tools to assist in working with the data – addresses policy
points 5, 8

Example services might include:

     • Accessible cross-platform Data Store
     • Data Access Services (e.g. Dropbox-like)
     • Data Synchronisation (e.g. mobile devices)
     • Web-based Collaboration tools
     • Structured Data Version Control (WebDAV)
     • Central Database service
Data Stewardship



Tools and services to aid in the description, deposit, and on-going management
of completed research data outputs – addresses policy points 6, 7, 9, 10


Example services might include:

     • Data archive service (vault)
     • Data asset register
     • Data repository (enhanced)
     • PURE Current Research Information System integrated with other systems
Data Management Support



General consultancy and support service throughout the research process
– addresses policy points 1, 2, 4

Example services might include:

    • Tailored awareness and advocacy activities
    • Online Data Management guidance
    • Training (online / F-2-F)
    • Data Management consultancy
RDM Roadmap: http://tinyurl.com/bu2dllr
Next Steps
Costs !!
The roadmap follows up a business case submitted to the University IT Committee
in June 2012 by Jeff Haywood which estimated one-off and recurrent costs. The
Roadmap does not include itemised costs. These are yet to be agreed.
Pilots:
DMP pilot - focus groups and usability testing with existing users, as well as the
development and testing of an Edinburgh template
DataShare Pilots - 3 sets of “communities and collections” set up for testing
purposes to determine how the data repository meets the needs of Edinburgh
researchers
Active Data Infrastructure Pilots - address the need for recommendations for an
accessible data store and for collaboration utilites via filestore and “dropboxlike”
service pilots.
RDM Training for Liaison Librarians, Information Services
User requirement analysis – to improve alignment with stakeholders
EDINA's 2014 strategic objectives:
Activity and Value Proposition:
   1. Deliver highly valued services to our sector(s): customers and consumers
   1.1 Engage with business needs of customers

   2.1 Be active in national and international leadership

   3. Successful contribution to the University of Edinburgh's activity and
   engagement
   3.1 Enhance development and delivery of services within the University
   3.2 Contribute expertise and reputational value

Finance and sustainability:
   11. Contribute to the University of Edinburgh's mission in our role as 'EDINA and
   Data Library‘
   11.1 Achieve financial recognition for increased support activity to the University
   11.2 Secure external funds in order to continue to gain leverage from the
   University's world-class ICT infrastructure
Questions!
Acknowledgements:

    Dr. Cuna Ekmekcioglu (VP’s office)
    Sarah Jones (DCC)
    Stuart Lewis (Digital Library)
    Kerry Miller (DCC)
    Robin Rice (EDL)
    Tony Weir (ITI)

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Research Data Management Roadmap@Edinburgh

  • 1. RDM Roadmap@Edinburgh - an institutional approach Stuart Macdonald EDINA & Data Library Email: stuart.macdonald@ed.ac.uk EDINA Projects Day, 11 December, 2012
  • 2. Background Edinburgh Data Audit Framework (DAF) Implementation (May – Dec 2008) A JISC-funded pilot project produced 6 case studies from research units across the University in identifying research data assets and assessing their management, using DAF methodology developed by the Digital Curation Centre. 4 main outcomes: • Develop online RDM guidance • Develop RDM training • Develop university research data management policy • Develop services & support for RDM (in partnership IS)
  • 3. Context • The University of Edinburgh is a world-leading centre of academic excellence with a mission for the creation, dissemination and curation of knowledge. • Information Services (IS), a support group within the University, contributes to the University’s mission by striving to provide a Knowledge Management and Information Service appropriate for supporting and enabling learners, researchers and teachers in a world-class University.
  • 4. Drivers • Research data management policy* containing 10 ten aspirational statements affirming both the researchers’ and the University’s responsibilities, e.g. • Data will be managed to highest standards throughout the research data lifecycle • PI responsible for RDM • University will provide RDM support and training • University will provide RDM services (such as back-up, storage, deposit) • Data retained elsewhere will be registered with the University • RDM plans must ensure that data are available for access and re-use under appropriate safeguards • A research data storage paper was submitted to the University’s IT Committee in 2010, with six key recommendations for the University’s data infrastructure . * http://www.ed.ac.uk/schools-departments/information-services/about/policies-and-regulations/research-data-policy
  • 5. Implementation Committee An RDM Policy Implementation Committee has been set up by the Vice Principal Knowledge Management and Chief Information Officer, Jeff Haywood to implement recommendations: • Membership from across IS • Charged with delivering services that will meet RDM policy objectives which can be achieved in the near term. The Vice Principal also established a Steering Committee led by Professor Peter Clarke (School of Physics) comprising members from each of the 3 colleges, IS and Edinburgh Research and Innovation (ERI). Their role is to provide oversight to the activity of the Implementation Committee, ensuring the services meet the needs of University researchers.
  • 6. Roadmap • The Executive Summary of the Information Services Plan, 2012-13 states, “Research data management & storage – policies, training, curation, preservation, baseline 0.5Tb/user,” is a major IS-led project for the year. • The RDM roadmap sets out a high level plan for its delivery, noting objectives, outcomes, deliverables and target dates for the 18-month period July 2012-January 2014, across four strategic areas:
  • 7.
  • 8. Data Management Planning Support and services for planning activities that are typically performed before research data is collected or created – addresses policy points 3, 4 Example services might include: • Bespoke Data Management Planning support • Customised Data Management Planning tool
  • 9. Active Data Infrastructure Facilities to store data that is actively used in current research activities, to provide access to that storage, and tools to assist in working with the data – addresses policy points 5, 8 Example services might include: • Accessible cross-platform Data Store • Data Access Services (e.g. Dropbox-like) • Data Synchronisation (e.g. mobile devices) • Web-based Collaboration tools • Structured Data Version Control (WebDAV) • Central Database service
  • 10. Data Stewardship Tools and services to aid in the description, deposit, and on-going management of completed research data outputs – addresses policy points 6, 7, 9, 10 Example services might include: • Data archive service (vault) • Data asset register • Data repository (enhanced) • PURE Current Research Information System integrated with other systems
  • 11. Data Management Support General consultancy and support service throughout the research process – addresses policy points 1, 2, 4 Example services might include: • Tailored awareness and advocacy activities • Online Data Management guidance • Training (online / F-2-F) • Data Management consultancy
  • 13. Next Steps Costs !! The roadmap follows up a business case submitted to the University IT Committee in June 2012 by Jeff Haywood which estimated one-off and recurrent costs. The Roadmap does not include itemised costs. These are yet to be agreed. Pilots: DMP pilot - focus groups and usability testing with existing users, as well as the development and testing of an Edinburgh template DataShare Pilots - 3 sets of “communities and collections” set up for testing purposes to determine how the data repository meets the needs of Edinburgh researchers Active Data Infrastructure Pilots - address the need for recommendations for an accessible data store and for collaboration utilites via filestore and “dropboxlike” service pilots. RDM Training for Liaison Librarians, Information Services User requirement analysis – to improve alignment with stakeholders
  • 14. EDINA's 2014 strategic objectives: Activity and Value Proposition: 1. Deliver highly valued services to our sector(s): customers and consumers 1.1 Engage with business needs of customers 2.1 Be active in national and international leadership 3. Successful contribution to the University of Edinburgh's activity and engagement 3.1 Enhance development and delivery of services within the University 3.2 Contribute expertise and reputational value Finance and sustainability: 11. Contribute to the University of Edinburgh's mission in our role as 'EDINA and Data Library‘ 11.1 Achieve financial recognition for increased support activity to the University 11.2 Secure external funds in order to continue to gain leverage from the University's world-class ICT infrastructure
  • 15. Questions! Acknowledgements: Dr. Cuna Ekmekcioglu (VP’s office) Sarah Jones (DCC) Stuart Lewis (Digital Library) Kerry Miller (DCC) Robin Rice (EDL) Tony Weir (ITI)