Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Drivers and Responses toward Research Data Mana...

Drivers and Responses toward Research Data Management Maturity: Transatlantic Perspectives

Presentation given with Jan Cheetham, Robin Rice, and Rory Macneil at Educause Annual Conference. November 2015.

Brianna Marshall

October 29, 2015
Tweet

More Decks by Brianna Marshall

Other Decks in Research

Transcript

  1. Drivers  and  Responses  Toward   Research  Data  Management  Maturity:  

    Transatlantic  Perspectives Jan  Cheetham •  Rory  Macneil •  Brianna  Marshall  •  Robin  Rice
  2. Take  the  online  version  of  our   RDM  maturity  survey

     at:   tinyurl.com/edu15RDM   Please  include  #edu15RDM   in  your  tweets!
  3. About  Us Brianna  Marshall Lead,  Research  Data  Services UW-­Madison Jan

     Cheetham Research  Cyberinfrastructure Liaison UW-­Madison Robin  Rice Data  Librarian University  of  Edinburgh Rory  Macneil CEO   Research  Space
  4. Session  Overview UW-­Madison  (USA) • Drivers • Organizational  responses •

    Components University  of  Edinburgh  (UK) • Drivers • Organizational  responses Research  Space  (UK) • Components Survey  results  and  open  discussion:  How  do  we  define  RDM  maturity?
  5. Drivers:  External  Funder  Mandates • Office  of  Science  and  Technology

      Policy  (OSTP)  memo   • Released  spring  2013;;  took  effect  fall  2015 • Requires  open  sharing  of  published  articles  and  data • Publication  repository  is  provided;;  data  repository   is  not • Applies  to  agencies  with  $100M  +  in  R&D • Fair  Access  to  Science  and  Technology   Research  (FASTR)   • Identical  bills  introduced   to  House  and  Senate  in  spring   2013 • Requires  open  sharing  of  published  articles • Must  be  passed  into  law  to  take  effect • Applies  to  agencies  with  $100M  +  in  extramural   spending
  6. Drivers:  Organizational • Compliance with  external  requirements • Stewardship of

     institutional  assets • Safeguarding reproducibility  and  intellectual   property • Enabling research  that  is  increasingly  data-­ driven  and  collaborative
  7. Drivers:  Researcher  needs  and  changing   work  patterns • Ample

     technology  to  generate  data  but  few  skills  to   manage  it  effectively • Movement  toward  openness,  impacted  by  OSTP  and   spurred  by  early  career  researcher  expectations   • Disciplinary  culture  shifts  toward  data  reuse  +   reproducibility • Need  for  multi-­purpose  online  spaces  to  collaborate,   share,  store,  and  archive  research  outputs  (including   data)
  8. Organizational  responses:  Delivery Focus  of  delivery  has  been  on: •

    Policies • Tools • RDM  expertise • Education/outreach  for  researchers Challenges • Who  owns  RDM? • How  do  you  staff  RDM? • Who  pays  for  RDM?
  9. Components:  Policies Data  governance • Policies  and  standards • Information

     quality • Privacy,  compliance,  security • Architecture,  integration Data  stewardship  policy • Retention  for  7  years  or  more • PI  is  steward
  10. Components:  Expertise  and  staffing Library • Research  Data  Services •

    Liaison  librarians Central  IT • Engagement  staff Advanced  Computing • Facilitators • Faculty  (Data  Carpentry) Disciplines • Staff  experts  in  privacy,  data   analysis,  documentation,   sharing  
  11. Components:  Outreach  and  education DMP  Consultations Workshops Researcher  challenges: •

    Common  data  curation  methods   in  research  groups • Long-­term  archiving  resources • Need  to  focus  resources  on  data   analysis  phase,  keeping  up  with   hardware  and  software  changes • Restrictive  policies
  12. Drivers:  External Funder  mandates: • ESRC  &  NERC  have  long-­standing

     data  archiving  policies • Research  Councils  UK  publish  Common  Principles  on  Data   Policy,  2011 • EPSRC  turns  tables,  makes  institutions  responsible,  2012,   full  compliance  expected  by  May  2015 • European  Commission  Horizon2020  funding  includes  ‘Open   Data  Pilot’   • Overall,  data  management  plans  expected  for  funded   research Publishers’  policies  to  mandate  making  data  available  helps  too
  13. Drivers:  Organizational • FOI  legislation  -­ University   of  East

     Anglia  ‘climategate’   negative  publicity   • Desire  to  showcase  all   research  outputs • Desire  to  support   researchers  to  comply  with   funder  policies   • Promote  research  integrity  /   avoid  scientific  fraud • Mostly  -­ not  to  lose  EPSRC   funding! http://www.news24.com/SciTech/News/UK-­‐cops-­‐close-­‐ Climategate-­‐investigation-­‐20120718
  14. Drivers:  Researcher  needs  and  changing   work  patterns • Open

     Access  publication  mandates  driving  culture  change • Importance  of  UK  Research  Excellence  Framework   • Shifting  (generational?)  norms  about  sharing  &  social  media • ‘Impact  agenda’  &  altmetrics • Larger,  broader  collaborations   • Data-­driven  science • Discipline-­specific  changes,   • eg AllTrials.net campaign • Slowly  changing  perception  of  data  as  ‘first  class  research   object’  
  15. Organizational  responses:  Structural   University  of  Edinburgh  Information  Services  takes

     up   mantle: • Library,  Computing  Service  &  Data  Library Early  projects  set  the  tone:   • DISC-­UK  DataShare and  Data  Asset  Framework  (DAF) ‘Enabling’  (and  first)  UK  university  RDM  policy,  May  2011 RDM  Roadmap  to  implement  policy,  2012-­present: • Fit  to  data  lifecycle:  planning,  active  storage,  stewardship Governance • Academic-­led  steering  group
  16. Organizational  responses:  Priorities • Support  for  Data  Management  Planning,  DMPOnline

    tool   customization,  template • Half  terabyte  per  researcher  storage  with  Dropbox-­like   functions  (DataStore,  DataSync) • Open  Access  data  repository  (Edinburgh  DataShare) • Long  term  Data  Vault  (private  storage) • Awareness  raising,  training,  joining  up  support  functions http://datalib.edina.ac.uk/mantra
  17. Organizational  responses:  Delivery • RDM  ‘action  group’   • Raising

     awareness  has  a  number  of  challenges • CIO  has  been  crucial  champion  of  the  cause • Interaction  with  schools  (departments) • Next  step:  moving  from  umbrella  of  (confusing)  services   to  a  unified  and  comprehensive  research  data  service   under  a  service  management  framework
  18. ELN  as  integrating  RDM  component   at  Edinburgh   An

     online  tool  used  by  researchers  in  biology,  chemistry,   biomedicine  and  related  fields  to  collect  and  share   research  data Connected  ELN   An  ELN  designed  to  integrate  with  core  RDM   components  at  an  institution  level including  file   storage,  repositories  and  archives Standalone  ELN   A  standalone  tool  used  by  individual  labs Electronic  Lab  Notebook  
  19. ▶ Individual  researchers Ease  of  use ▶ Research  data  managers

    Integration  with  RDM   infrastructure     ▶ IT  managers Ease  of  deployment   and  administration     Connected  ELN  challenge: Satisfy  four  sets  of  requirements       Researchers Administrators ▶ PrincipaI Investigators Lab  management
  20. Repository Archive Data Files Data Data Data ELN Standalone  ELN

     Workflow Institutional   file  stores Lab   file  stores
  21. Results ELN  just  another  silo     Storage Repository Archive

    ELN Data  does  not  get  captured  by  institution    
  22. Data Data,  file  links   and  metadata Data,  file  links

    and  metadata RSpace Connected ELN  at  Edinburgh   Lab file  stores Data DataStore Repository Archive Researchers Administrators
  23. Enabling  institution  to  capture  more  high   quality  research  data,

     fulfilling  funder   requirements  for  data  preservation  and   availability   RSpace@Edinburgh brings  together RDM  tools  and  researcher  workflow  
  24. RDM  Maturity • Comments  on  presentations  and/or  ideas  in  

    the  survey? • What  does  RDM  maturity  mean  to  you? • What  is  your  institution  focusing  on  to  reach   maturity?
  25. Help  Us  Improve  and  Grow Thank  you  for  participating  

    in  today’s  session.   We’re  very  interested  in  your  feedback.    Please  take   a  minute  to  fill  out  the  session  evaluation  found  within   the  conference  mobile  app,  or  the  online  agenda.