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Engaging the researcher in RDM


Stuart Macdonald
Associate Data Librarian
EDINA National Data Centre &
Edinburgh University Data Library

Stuart.Macdonald@ed.ac.uk




                 ANDS Data interviews webinar 13 August 2012
EDINA and University
Data Library (EDL)
together are a division
within Information
Services of the
University of Edinburgh.

EDINA is a JISC-funded
National Data Centre
providing national online
resources for education
and research.

The Data Library assists
Edinburgh University
users in the discovery,
access, use and
management of research
datasets.
What is a Data Library
A data library refers to both the
content and the services that foster
use of collections of numeric, audio-
visual, textual or geospatial data sets
for secondary use in research.

Focus on re-use of data


Building relationships with researchers via PG teaching
activities, research support projects, IS Skills workshops,
Research Data Management training and through traditional
reference interviews.
Data Reference Interview
               1 hour appointment to discuss
               research question / context
               Establish whether data the
               researcher requires is available,
               suitable level of granularity , suitable
               and accessible format, assess
               licensing, cost, use conditions,
               software dependency


               Research Data sharing via research
               data repository Edinburgh DataShare
               - embargo, keywords, licenses (ODC),
               formatting, documentation, depositor
               agreement, copyright, dataset
               associated with publication
RIN Disciplinary Case Studies:
                                     understanding the information
                                     needs of life science researchers
                                     (Oct. 2008 – July 2009)
                                     Seven case studies were
                                     conducted across a diverse range
                                     of laboratories and research
                                     groups from botany to clinical
                                     neuroscience.
                                     http://tinyurl.com/d9j3yxs

Deployed a range of qualtitative methods and tools designed to ‘enhance
understanding of how researchers locate, evaluate, organise, manage,
transform and communicate information sources as an integrated part of
the research process’.

                        5-day information diaries (x55)
                        F-2-F interviews, (x24)
                        Focus groups (1 per case)
Interviewing researchers
– considerations
Research data can be much more complex
than the post-publication content that
librarians typically encounter.
The data interview should be driven by the
researcher and guided by the interviewer /
librarian
What constitutes data may be interpreted
differently by different people at different
times in different contexts
Research data will have discrete issues or
challenges associated with them thus it is
important that the research data that are
the subject of the interview are clearly
defined
Interviewing researchers – considerations

                  • Identify base level of knowledge about
                    domain-specific research process
                    (librarian)

                  • Identify base level of knowledge about
                    research data management (researcher)

                  • Iron out ambiguities / domain-specific
                    jargon as definitions may differ across
                    disciplines

                  • Use the ‘research data lifecycle’ as a
                    framing device: Plan, Create, Use, Appraise,
                    Publish, Discover, Re-use
University of Edinburgh RDM Strategy

Establishment of IS RDM Steering and Action group
       High profile ‘champion’– Peter Clark (Professor of Physics at the
       University of Edinburgh & CERN Fellow)

IS RDM Action group working on service implementation plans

•      Data management support
•      Data management planning
•      Active data infrastructure
•      Data stewardship

Pilot studies with research groups
•      feedback into service implementation plans re. tools and services
•      who to engage with
•      Case studies

RDM Awareness Raising sessions with library & information
professionals

Services Roadmap
Engagement tools
Data Asset Framework
(DCC/HATII) –
http://www.data-audit.eu/
provides organisations with the means to:

-   find out what data assets are being
    created and held within institutions
-   explore how those data are stored,
    managed, shared and reused
-   identify any risks e.g. misuse, data loss
    or irretrievability
-   learn about researchers’ attitudes
    towards data creation and sharing
-   suggest ways to improve ongoing data
    management.
Data Curation Profiles
Toolkit (Purdue University)

http://datacurationprofiles.org/



Data Curation Profiles can:
•     provide a guide for discussing data with researchers
•     give insight into areas of attention in data management
•     help assess information needs related to data collections
•     give insight into differences between data in various disciplines
•     help identify possible data services
•     create a starting point for curating a data set for archiving and
    preservation
‘Librarians will need to move beyond our focus on
  researchers’ needs as information consumers, and
  work towards building awareness of their
  disciplinary and sub-disciplinary information
  cultures and norms ..…. acquiring this depth of
  knowledge needs to be made a pre-requisite
  before new infrastructures or services for research
  data are developed. Conducting data interviews
  with researchers is one approach towards
  achieving this foundational understanding.’

Jake Carlson (2012)
FIN !!
                          All Images by PropagandaTimes - Attribution-
                          NonCommercial-NoDerivs 2.0 Generic (CC BY-
                          NC-ND 2.0)



REFERENCES:
Jake Carlson, (2012) "Demystifying the data interview: Developing a foundation
for reference librarians to talk with researchers about their data", Reference
Services Review, Vol. 40 Iss: 1, pp.7 – 23

Kristin Partlo (2009) “The pedagogical data reference interview”, IASSIST
Quarterly, Vol. 33 Iss: Winter, pp.6 – 10 -
http://www.iassistdata.org/downloads/iqvol334_341partlo.pdf

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Engaging the Researcher in RDM

  • 1. Engaging the researcher in RDM Stuart Macdonald Associate Data Librarian EDINA National Data Centre & Edinburgh University Data Library Stuart.Macdonald@ed.ac.uk ANDS Data interviews webinar 13 August 2012
  • 2. EDINA and University Data Library (EDL) together are a division within Information Services of the University of Edinburgh. EDINA is a JISC-funded National Data Centre providing national online resources for education and research. The Data Library assists Edinburgh University users in the discovery, access, use and management of research datasets.
  • 3. What is a Data Library A data library refers to both the content and the services that foster use of collections of numeric, audio- visual, textual or geospatial data sets for secondary use in research. Focus on re-use of data Building relationships with researchers via PG teaching activities, research support projects, IS Skills workshops, Research Data Management training and through traditional reference interviews.
  • 4. Data Reference Interview 1 hour appointment to discuss research question / context Establish whether data the researcher requires is available, suitable level of granularity , suitable and accessible format, assess licensing, cost, use conditions, software dependency Research Data sharing via research data repository Edinburgh DataShare - embargo, keywords, licenses (ODC), formatting, documentation, depositor agreement, copyright, dataset associated with publication
  • 5. RIN Disciplinary Case Studies: understanding the information needs of life science researchers (Oct. 2008 – July 2009) Seven case studies were conducted across a diverse range of laboratories and research groups from botany to clinical neuroscience. http://tinyurl.com/d9j3yxs Deployed a range of qualtitative methods and tools designed to ‘enhance understanding of how researchers locate, evaluate, organise, manage, transform and communicate information sources as an integrated part of the research process’. 5-day information diaries (x55) F-2-F interviews, (x24) Focus groups (1 per case)
  • 6. Interviewing researchers – considerations Research data can be much more complex than the post-publication content that librarians typically encounter. The data interview should be driven by the researcher and guided by the interviewer / librarian What constitutes data may be interpreted differently by different people at different times in different contexts Research data will have discrete issues or challenges associated with them thus it is important that the research data that are the subject of the interview are clearly defined
  • 7. Interviewing researchers – considerations • Identify base level of knowledge about domain-specific research process (librarian) • Identify base level of knowledge about research data management (researcher) • Iron out ambiguities / domain-specific jargon as definitions may differ across disciplines • Use the ‘research data lifecycle’ as a framing device: Plan, Create, Use, Appraise, Publish, Discover, Re-use
  • 8. University of Edinburgh RDM Strategy Establishment of IS RDM Steering and Action group High profile ‘champion’– Peter Clark (Professor of Physics at the University of Edinburgh & CERN Fellow) IS RDM Action group working on service implementation plans • Data management support • Data management planning • Active data infrastructure • Data stewardship Pilot studies with research groups • feedback into service implementation plans re. tools and services • who to engage with • Case studies RDM Awareness Raising sessions with library & information professionals Services Roadmap
  • 9. Engagement tools Data Asset Framework (DCC/HATII) – http://www.data-audit.eu/ provides organisations with the means to: - find out what data assets are being created and held within institutions - explore how those data are stored, managed, shared and reused - identify any risks e.g. misuse, data loss or irretrievability - learn about researchers’ attitudes towards data creation and sharing - suggest ways to improve ongoing data management.
  • 10. Data Curation Profiles Toolkit (Purdue University) http://datacurationprofiles.org/ Data Curation Profiles can: • provide a guide for discussing data with researchers • give insight into areas of attention in data management • help assess information needs related to data collections • give insight into differences between data in various disciplines • help identify possible data services • create a starting point for curating a data set for archiving and preservation
  • 11. ‘Librarians will need to move beyond our focus on researchers’ needs as information consumers, and work towards building awareness of their disciplinary and sub-disciplinary information cultures and norms ..…. acquiring this depth of knowledge needs to be made a pre-requisite before new infrastructures or services for research data are developed. Conducting data interviews with researchers is one approach towards achieving this foundational understanding.’ Jake Carlson (2012)
  • 12. FIN !! All Images by PropagandaTimes - Attribution- NonCommercial-NoDerivs 2.0 Generic (CC BY- NC-ND 2.0) REFERENCES: Jake Carlson, (2012) "Demystifying the data interview: Developing a foundation for reference librarians to talk with researchers about their data", Reference Services Review, Vol. 40 Iss: 1, pp.7 – 23 Kristin Partlo (2009) “The pedagogical data reference interview”, IASSIST Quarterly, Vol. 33 Iss: Winter, pp.6 – 10 - http://www.iassistdata.org/downloads/iqvol334_341partlo.pdf

Notes de l'éditeur

  1. 30 yearsTradition in North America coupled to large research-driven universitiesLess so in UK (2 institutions)Rare in mainland Europe where data centre is preferred model
  2. DCC, Institute for the Study of Science, Technology and Innovation, Information services
  3. Data mining, geo-tagging, geo-referencing, time-series, CC TV filmThese complexities can present a potential barrier for librarians seeking to engage in discussions with researchers about managing, sharing, and curating their data. Remind ourselves that the purpose of data interviews are to ascertain RDM practices with a view to improvementBenefits of managing data – meet funder / university / industry requirementsEnsure data are accurate, authentic and reliable (as per good research practice)Ensure research integrity and replicationMinimise data lossIncrease efficiency (time and resources)Ensure data available for re-use18thC meterological observations are now used by environmental scientists to gauge climate change or can be used by historians to verify time-specific factual or anecdotal evidence
  4. To prompt the researcher to define and describe the data him or herself
  5. The JISC Managing Research Data Programme 2011-13 has funded four projects to design, pilot and test training materials for research data management adapted for the needs of discipline-focussed post-graduate courses and for subject or discipline liaison librarians.Awareness and advocacy activitiesTailored online data management guidanceTraining & consultancyData management planning support / planning toolData store / Data access servicesSynchronisation servicesCollaboration and versioning toolsCentral database serviceData archive serviceData Asset RegisterData RepositoryPURE – CRIS integrated with other university systems (research office, records management units etc)