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ANDS Webinar
Data Management: Policies and People
               27 April 2012




       Constance Wiebrands & Julia Gross

            Edith Cowan University
Seeding the Commons (StC)

         at ECU
Seeding the Commons at ECU


Our objectives:
1. Describe twelve datasets
2. Design training for researchers
3. Draft a research data management policy
StC Policy … what we did

 Reviewed ECU policies that related to research data
 Invited ECU research policy expert onto StC project
  team
 Reviewed exemplar policies (Monash, QUT)
 Attended Research Data Policy Seminar at Uni
  Sydney
 Data Management Plan template drafted (examples
  UOW and QUT)
 Data Management Plan template went to StC
  Steering Ctee for input
StC Policy … what we learned


 We needed to work within ECU policy
  framework
 ECU had a policy, but not widely known
  among researchers
 Still need to work on procedures and
  guidelines
 Fleshing out the detail for researchers
 Need a bottom up, and a top down
  approach
StC People … what we did

 Buy in from DVC (Research and Advancement)
 Met individually with key players:
   Director Research Office, Assoc Deans Research
    Faculties, Research Centres, IT, Records, Graduate
    School, Ethics, Training and Development
 Communication
   global email to all researchers
   individual emails to targeted researchers
   StC project webpage
StC People … what we did

 Committees
   StC Steering Ctee. reps from key areas
   Working group, reps from Library + Research Office
 Met with researchers individually
 Worked with Graduate Research School for
  Training
   targeting online HRD Orientation program
StC People … what we learned

 Communication
   need to be catchy, capture attention of researchers
   message needs to be “what’s in it for me”
   helps to include endorsement of a senior person … name
    dropping!
 Researchers
   are busy, need to follow up, persist, and sometimes work
    through a research project assistant or PA
 Gained an understanding of difficulties of
  sharing data in some areas.
 How to overcoming objections (eg Ethics and IP)
 With research data one size does not fit all
Data librarian position
 ECU used ANDS funding to establish a research
  data position
 Data librarian worked with the project team
 During the project the research data librarian
  learned new skills, and
 Gained an understanding of research data
  across disciplines
 Conducted data interviews, working in pairs
 Wrote up interview, project abstract etc
 Learned how to create data records manually,
  using RIF-CS schema
Data librarian position

 Collaboration is key
   Role crosses over many areas in the
    university
 No one person can know everything
 Need to discover where the expertise lies
   within the organisation
   outside the organisation … ANDS, eResearch
    community etc
 Where to now?
 Mainstreaming research data management
This project is supported by the Australian National Data Service (ANDS)




   ANDS is supported by the Australian Government through the National
  Collaborative Research Infrastructure Strategy Program and the Education
                Investment Fund (EIF) Super Science Initiative
We will now answer
 your questions

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ANDS Webinar. Data Management Policies and People

  • 1. ANDS Webinar Data Management: Policies and People 27 April 2012 Constance Wiebrands & Julia Gross Edith Cowan University
  • 2. Seeding the Commons (StC) at ECU
  • 3. Seeding the Commons at ECU Our objectives: 1. Describe twelve datasets 2. Design training for researchers 3. Draft a research data management policy
  • 4. StC Policy … what we did  Reviewed ECU policies that related to research data  Invited ECU research policy expert onto StC project team  Reviewed exemplar policies (Monash, QUT)  Attended Research Data Policy Seminar at Uni Sydney  Data Management Plan template drafted (examples UOW and QUT)  Data Management Plan template went to StC Steering Ctee for input
  • 5. StC Policy … what we learned  We needed to work within ECU policy framework  ECU had a policy, but not widely known among researchers  Still need to work on procedures and guidelines  Fleshing out the detail for researchers  Need a bottom up, and a top down approach
  • 6. StC People … what we did  Buy in from DVC (Research and Advancement)  Met individually with key players:  Director Research Office, Assoc Deans Research Faculties, Research Centres, IT, Records, Graduate School, Ethics, Training and Development  Communication  global email to all researchers  individual emails to targeted researchers  StC project webpage
  • 7. StC People … what we did  Committees  StC Steering Ctee. reps from key areas  Working group, reps from Library + Research Office  Met with researchers individually  Worked with Graduate Research School for Training  targeting online HRD Orientation program
  • 8. StC People … what we learned  Communication  need to be catchy, capture attention of researchers  message needs to be “what’s in it for me”  helps to include endorsement of a senior person … name dropping!  Researchers  are busy, need to follow up, persist, and sometimes work through a research project assistant or PA  Gained an understanding of difficulties of sharing data in some areas.  How to overcoming objections (eg Ethics and IP)  With research data one size does not fit all
  • 9. Data librarian position  ECU used ANDS funding to establish a research data position  Data librarian worked with the project team  During the project the research data librarian learned new skills, and  Gained an understanding of research data across disciplines  Conducted data interviews, working in pairs  Wrote up interview, project abstract etc  Learned how to create data records manually, using RIF-CS schema
  • 10. Data librarian position  Collaboration is key  Role crosses over many areas in the university  No one person can know everything  Need to discover where the expertise lies  within the organisation  outside the organisation … ANDS, eResearch community etc  Where to now?  Mainstreaming research data management
  • 11. This project is supported by the Australian National Data Service (ANDS) ANDS is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy Program and the Education Investment Fund (EIF) Super Science Initiative
  • 12. We will now answer your questions

Editor's Notes

  1. 10 Mins onPolicyWhat we didLooked at ECU policies that related to research data. We already had a policy that had been drafted to reflect obligations under the CodeEnsured that ECU policy expert was part of the StC project teamLooked at other exemplar polices, eg Monash, Uni Melb and QUTAttended Research Data Policy Seminar at Uni SydneyDrafted a Data Management Plan template, after consultation with other unis (UOW and QUT).Took Data Management Plan template to Steering Ctee for input and eventually posted draft version on GRS website
  2. 10 Mins onPolicyWhat we didLooked at ECU policies that related to research data. We already had a policy that had been drafted to reflect obligations under the CodeEnsured that ECU policy expert was part of the StC project teamLooked at other exemplar polices, eg Monash, Uni Melb and QUTAttended Research Data Policy Seminar at Uni SydneyDrafted a Data Management Plan template, after consultation with other unis (UOW and QUT).Took Data Management Plan template to Steering Ctee for input and eventually posted draft version on GRS website
  3. 10 Mins onPolicyWhat we learnedECU has policy, but not widely known among researchersECU still needs to work on procedures and guidelines to inform research how they should proceed
  4. 10 Mins onPeopleWhat we didHow we started: DVC research consulted with original applicationMet with DVC Research to “picks his brains” and get names of targeted researchersIn early days met individually with other key players: Director ORI, Ass Deans Research faculties, some heads of Research Centres, IT, Records, GRS, Ethics, Training and DevelopmentCommunication: global email to researchers, followed up by individual emails to targeted researchersSeeding the Commons webpage set up
  5. 10 Mins onPeopleWhat we didCommitteesSet up Steering Ctee. Reps from Office Research, IT, etcSet up working group, comprising 5 people: UL, 2 Senior Library Managers, Research data librarianand one policy rep ORI. Met fortnightlyMet with researchers individuallyWorked closely with Graduate Research School for Training, targeting a compulsory online HRD Orientation program  
  6. 10 Mins onPeopleWhat we learnedCommunications need to be catchy, free of jargon and capture attention of researchers. The message needs to be “what’s in it for me”. it took us a few goes. It helps if you include the endorsement of a senior person (name dropping!) such as DVD research or the Assoc Dean researchResearchers are busy. Often need to follow up, persist, and sometime work through a research project assistant or PA.Gained an understanding of difficulties of sharing data in some areas. Overcoming objections (eg Ethics and IP). With research data one size does not fit all 
  7. 10 Mins on role of data librarian positionWhat we didECU used ANDS funding to establish a research data positionData librarian worked with the project teamDuring the project the research data librarian learned new skills, andGained an understanding of research data across disciplinesConducted data interviews, working in pairsWrote up interview, project abstract etcLearned how to create data records manually, using RIF-CS schema
  8. 10 Mins on role of data librarian positionWhat we learnedThis role crosses over many areas in the uni. No one person can know everything. Need to discover where the expertise lies, within and without the organisationWorked outside familiar networks (comfort zone)Where to now? The “project” is finishedMainstreaming research data management is our next big challenge.In the short term we have kept the research data management position going within the LibraryWe are continuing to interview researchers, working with the Office of Research thru a newly formed Research Data Sub-Committee