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Research Data
Guidance.
Turning policy into practice.


Wendy White
24 October 2012
2
3
Guiding principles
• Mixed authorship - Research and Innovation Services,
  iSolutions (IT), Library, helped share knowledge across
  services

• Practical – iterate with academic community, scenarios and
  FAQs

• Signposting – service, discipline and external expertise

• Context – set with other research support e.g. bibliometrics,
  open access, identifier assignation

• Visible - first DMP query came from someone who found
  pages via Google!
                                                               4
DataPool Service Model




                adapted with permission from Martin Lewis (2012) Working with other RDM actors slide 2
(http://www.rluk.ac.uk/content/clarifying-roles-libraries-research-data-management-discussion-day-find-creative-solutions
                                                                                                                          5
                                                        Firefox only)
Seeding - Serendipitous discovery important
Challenges when ideas are exciting but also hard to deliver
                                                          Invite discovery and
                                                          engagement

                                                          Peer word of mouth

                                                          Informal networks e.g.
                                                          USRGs

                                                          Senior staff to endorse
                                                          culture

                                                          Balance between
                                                          individual enthusiast
                                                          and institutional
     IRRI Images                                          service
     http://www.flickr.com/photos/ricephotos/367687156/                             6
Lessons - unpacking specific queries
                        I just need
                       a statement                 Can I have
                        to cut and                 some more
                        paste into                  storage?
                            bid

                        I would like                  I need to
                        others to be                 do a DMP
                           able to                     by this
                        query these                  afternoon!
                            data


                                   Enrichment
                                         Peganum
                       http://www.flickr.com/photos/peganum/3556523794/

                                                                          7
Full institutional engagement
Top down/bottom up & broad coverage/specific queries
                                                                           Main challenge - Reach
                                                                           Nuance of sub-disciplines
                                                                           Multidisciplinary synergies
                                                                           Communication networks
                                                                           Trusted approach to sharing



                                                                                          Knowledge




  Today is a Good Day
  http://www.flickr.com/photos/good_day/11621713/sizes/m/in/photostream/          Relevance         Impact

                                                                                                             8

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Research Data Guidance: Turning policy into practice

  • 1. Research Data Guidance. Turning policy into practice. Wendy White 24 October 2012
  • 2. 2
  • 3. 3
  • 4. Guiding principles • Mixed authorship - Research and Innovation Services, iSolutions (IT), Library, helped share knowledge across services • Practical – iterate with academic community, scenarios and FAQs • Signposting – service, discipline and external expertise • Context – set with other research support e.g. bibliometrics, open access, identifier assignation • Visible - first DMP query came from someone who found pages via Google! 4
  • 5. DataPool Service Model adapted with permission from Martin Lewis (2012) Working with other RDM actors slide 2 (http://www.rluk.ac.uk/content/clarifying-roles-libraries-research-data-management-discussion-day-find-creative-solutions 5 Firefox only)
  • 6. Seeding - Serendipitous discovery important Challenges when ideas are exciting but also hard to deliver Invite discovery and engagement Peer word of mouth Informal networks e.g. USRGs Senior staff to endorse culture Balance between individual enthusiast and institutional IRRI Images service http://www.flickr.com/photos/ricephotos/367687156/ 6
  • 7. Lessons - unpacking specific queries I just need a statement Can I have to cut and some more paste into storage? bid I would like I need to others to be do a DMP able to by this query these afternoon! data Enrichment Peganum http://www.flickr.com/photos/peganum/3556523794/ 7
  • 8. Full institutional engagement Top down/bottom up & broad coverage/specific queries Main challenge - Reach Nuance of sub-disciplines Multidisciplinary synergies Communication networks Trusted approach to sharing Knowledge Today is a Good Day http://www.flickr.com/photos/good_day/11621713/sizes/m/in/photostream/ Relevance Impact 8

Editor's Notes

  1. Website launched 6th JulyThe library is a trusted, more stable location, perhaps less susceptible to the influence of the winds that blow in other areas of an institution.It is written for the early career researcher and covers general information with the expectation that subject specific material will be addressed at Faculty/discipline.Some of the pages are under development and we are looking for input from the academic community.
  2. We are developing a service model taking advantage of the expertise within the different professionals. So in our institution the library has skills in digital preservation etc. Replace information with data in many of our everyday roles and it becomes clear we have many of the necessary skills. Metadata is no more than cataloguing of data?