Research Data Management: How will Northwestern address new sharing requirements?
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Presentation for Northwestern University's first Computational Research Day, April 22, 2014. http://www.it.northwestern.edu/research/about/campus-events/research-day/agenda.html . By Cunera Buys, ...

Presentation for Northwestern University's first Computational Research Day, April 22, 2014. http://www.it.northwestern.edu/research/about/campus-events/research-day/agenda.html . By Cunera Buys, e-Science Librarian, and Claire Stewart, Director, Center for Scholarly Communication and Digital Curation and Head, Digital Collections

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    Research Data Management: How will Northwestern address new sharing requirements? Research Data Management: How will Northwestern address new sharing requirements? Presentation Transcript

    • Research  Data   Management:  How  will   Northwestern  address   new  sharing   requirements?   Cunera  Buys   Claire  Stewart  
    • FUNDING  AGENCIES  
    • •  Issued  February  22,  2013  by  the  White  House   Office  of  Science  and  Technology  Policy  (OSTP).     •  GranNng  agencies  must  develop  a  plan  to  make   the  results  of  federally-­‐funded  research   publically  available  free  of  charge  within  12   months  aTer  original  publicaNon.       •  Affects  granNng  agencies  with  more  than  $100   million  R&D  expenditures.     •  Includes  published  arNcles  and  data.   hZp://www.whitehouse.gov/sites/default/files/ microsites/ostp/ ostp_public_access_memo_2013.pdf         OSTP  MEMORANDUM  
    • OSTP  Update     •  Follow  Up  Memorandum  issued  on  March  24,   2014  by  John  Holdren   •  hZp://www.whitehouse.gov/sites/default/files/microsites/ostp/ OpenAccess_March-­‐2014.pdf  
    • Responding  Agencies   •  Department  of  Health  and  Human  Services  (HHS)   •  Agency  for  Healthcare  Research  and  Quality  (AHRQ)   •  HHS  Office  of  the  Assistant  Secretary  for  Preparedness  and  Response  (ASPR)   •  Centers  for  Disease  Control  and  PrevenNon  (CDC)   •  Department  of  Homeland  Security  (DHS)   •  Department  of  Defense  (DoD);   •  Department  of  Energy  (DOE)   •  Department  of  the  Interior  (DOI)   •  Department  of  TransportaNon  (DOT)   •  Department  of  EducaNon  (ED)   •  Environmental  ProtecNon  Agency  (EPA)   •  Food  and  Drug  AdministraNon  (FDA)   •  NaNonal  AeronauNcs  and  Space  AdministraNon  (NASA)   •  NaNonal  InsNtutes  of  Health  (NIH)   •  Department  of  Commerce  (DOC)   •  NaNonal  InsNtute  of  Standards  and  Technology  (NIST)   •  NaNonal  Oceanic  and  Atmospheric  AdministraNon  (NOAA)   •  NaNonal  Science  FoundaNon  (NSF)   •  Office  of  the  Director  of  NaNonal  Intelligence  (ODNI)   •  Smithsonian  InsNtuNon  (SI)   •  United  States  Agency  for  InternaNonal  Development  (USAID)   •  United  States  Department  of  Agriculture  (USDA)   •  United  States  Department  of  Veterans  Affairs  (VA).  
    • Agency  Proposals   •  Agency  plans  include  a  variety  of  approaches   •  use  NIH’s  PubMedCentral  infrastructure   •  Develop  public-­‐private  partnerships     •  Create  their  own  database   •  UNlize  exisNng  agency  infrastructure  
    • Current  status     •  Agencies  have  submiZed  plans     •  Plans  have  been  reviewed  by  OSTP     •  OSTP  has  commented  and  returned  plans  to   agencies   •  Agencies  are  currently  revising  plans  to  address   comments   •  OSTP  will  convene  interagency  meeNngs   –   will  allow  agencies  to  work  together  to  refine  plans   and  explore  other  ways  to  collaborate  
    • Why  do  funders  and  broader  science   community  want  to  share  and  preserve   data?  
    • Prevent  Data  Loss  
    • ScienNfic  Reproducibility  
    • RecogniNon   Chapter  II.C.2.f(i)(c),  Biographical  Sketch(es),  has  been  revised  to  rename  the   “PublicaNons”  secNon  to  “Products”  and  amend  terminology  and  instrucNons   accordingly.  This  change  makes  clear  that  products  may  include,  but  are  not   limited  to,  publicaNons,  data  sets,  soTware,  patents,  and  copyrights.  
    • Other  reasons  to  manage  and  share   your  data   •  saves  you  Nme   •  increases  the  impact  of  your  research  through  data   citaNon.     •  clearly  documents  and  provides  evidence  for  your  research   in  conjuncNon  with  published  results.     •  meet  copyright  and  ethical  compliance  (ie.  HIPAA).     •  preserves  data  for  long-­‐term  access  and  prevents  loss  of   data.     •  describes  and  shares  data  with  others  to  further  new   discoveries  and  research.    Adapted  From:  University  of  Minnesota  Libraries  Data  Management  web  page:  hZps://www.lib.umn.edu/datamanagement  
    • Data  Management  Survey   •  A  joint  project  by  E-­‐Science  Working  group:   •  Northwestern  University  Libraries   •  Northwestern  University  InformaNon  Technology   •  Office  for  Sponsored  Research   •  Weinberg  College  of  Arts  and  Sciences   •  Faculty,  graduate  students,  post  docs,  selected  staff  on  both   campuses   •  831  responses  and  788  completed  the  survey   •  Approximately  1/3  faculty  and  postdocs,  1/3  staff  and  1/3   graduate  students  
    • Data  Management  Survey   Types  of  quesNons   •  Types  and  size  of  data   •  How  data  is  stored   •  Data  sharing   •  Data  retenNon   •  Data  management  planning   •  Training  or  assistance  needed  
    • Data  Management  Survey   Preliminary  results   •  Most  common  data  types  and  sizes   •  Spreadsheets  and  Structured  data  (.csv,  .dat,  .xml)   •   text     •  images   •  1-­‐500  GB  storage  needs  
    • Data  Management  Survey   Preliminary  results   •  Data  storage   •  PC  hard  Drive   •  Departmental/  School  Server   •  Internet  based  services  (e.g.  Dropbox)  
    • Data  Management  Survey   Preliminary  results   •  Data  retenNon  and  preservaNon   •  5-­‐10  years   •  Indefinitely   #   QuesNon   Less   than   1   year   1-­‐5   years   5-­‐10   years   More   than   10   years   Indefinitely   Don’t   know   Total   Responses   1   Source   material/  Raw   Data   16   133   162   52   181   100   644   2   Processed   Data   8   115   164   60   164   119   630   3   Results  of   StaNsNcally   Manipulated   Data   6   107   158   53   154   149   627   4   Published   Data   9   87   119   60   230   126   631       Totals   39   442   603   225   729   494   2532  
    • Data  Management  Survey   Preliminary  results   •  Data  Sharing   •  Most  plan  to  share  their  data   •  Before  publicaNon  will  share  data  with  colleagues   at  Northwestern  or  within  research  group   •  ATer  publicaNon   •  Colleagues  in  field  (inside  and  outside  NU)   •  Public  at  large  
    • Data  Management  Survey   Preliminary  results   •  Would  you  be  willing  to  parNcipate  in  a   follow-­‐up  interview  regarding  research  data   management?   •  213  “yes”  but  …..   •  Please  contact  us!    
    • Responses:  Funders,  ScienNsts    
    • Publisher  responses    
    • Deposit  on  publicaNon  of  arNcle   •  Some  Journal  publishers  require  or  recommend  that  supporNng  data  for  arNcles   be  made  publicly  available.   •  The  Joint  Data  Archiving  Policy  (JDAP)  requires  data  sharing  in  a  public  archive  as   a  condiNon  of  publicaNon.   –  Journals  that  have  adopted  JDAP  include:  Science,  Nature  and  GeneNcs   •  The  author  is  usually  responsible  for  making  data  available  in  repository/  archive.   •  Check  data  archiving  policies  of  journals  before  submivng  arNcles.  
    • Journal  Requirements   7.  Sharing  of  Data,  Materials,  and  SoTware     PublicaNon  is  condiNonal  upon  the  agreement  of  the  authors  to  make  freely  available  any  materials  and   informaNon  described  in  their  publicaNon  that  may  be  reasonably  requested  by  others.     Data  Availability     PLOS  journals  require  authors  to  make  all  data  underlying  the  findings  described  in  their  manuscript  fully   available  without  restricNon,  with  rare  excepNon1.     When  submivng  a  manuscript  online,  authors  must  provide  a  Data  Availability  Statement  describing  compliance   with  PLOS's  policy.  If  the  arNcle  is  accepted  for  publicaNon,  the  data  availability  statement  will  be  published  as   part  of  the  final  arNcle.     Refusal  to  share  data  and  related  metadata  and  methods  in  accordance  with  this  policy  will  be  grounds  for   rejecNon.  PLOS  journal  editors  encourage  researchers  to  contact  them  if  they  encounter  difficulNes  in  obtaining   data  from  arNcles  published  in  PLOS  journals.  If  restricNons  on  access  to  data  come  to  light  aTer  publicaNon,  we   reserve  the  right  to  post  a  correcNon,  to  contact  the  authors'  insNtuNons  and  funders,  or  in  extreme  cases  to   retract  the  publicaNon.    
    • Rise/growth  of  data  journals    
    • Academic  community  response    
    • Academic  community  response    
    • Academic  community  response    
    • Library  response     •  Stewardship,  insNtuNonal  memory   •  Long  tradiNon  of  broad  subject  experNse,  liaisons  to  and  in  every   discipline   •  Data  services:  finding  data,  licensing  data,  deposiNng  data,  soTware  for   working  with  data   •  Historical  strengths  in  areas  important  for  data  curaNon:  organizaNon  of   informaNon,  intellectual  descripNon,  rights  expression,  deposit,   preservaNon,  citaNon   •  NU  Library  possible  models:   –  Support  for  data  management  plan  development  (already  doing)   –  Data  concierge  (partly  doing)   –  Extend  repository  services  for  data  (small  data  only?,  pilot  in  dev)   –  Embedded  data  librarians  (what  would  this  cost?  )  
    • Discussion     •  What  concerns  you  about  mandates  for  data   sharing?   •  What  are  the  norms  for  research  data  sharing  in   your  discipline?   •  How  are  you  staffing  and  funding  research  data   management  in  your  group?   •  What  addiNonal  training  or  support  would  be   valuable?  
    • RESOURCES:   •  Northwestern  University  Library  Data  Management  Web  Page:   hZp://www.library.northwestern.edu/dmp   •  DMPTool:  hZps://dmp.cdlib.org/   •  Northwestern  University's  Research  Data:  Ownership,  RetenNon  and  Access  Policy:   hZp://www.research.northwestern.edu/policies/documents/research_data.pdf   •  Northwestern  University  Library's  Center  for  Scholarly  CommunicaNon  &  Digital   CuraNon:   •  hZp://www.library.northwestern.edu/services/faculty-­‐graduate-­‐students/ scholarly-­‐communicaNon   •  Cunera  Buys-­‐  e-­‐science  librarian:  c-­‐buys@northwestern.edu    
    • Image Credits Title  slide:  Work  found  at  hZps://www.flickr.com/photos/rh2ox/9990024683/in/photolist-­‐gdMuhT-­‐92kp1F-­‐ amQUCH-­‐5NfuQU-­‐xiY2Y-­‐bRoYaF-­‐o94Cj-­‐2dkp-­‐2afa6-­‐i3Rby3-­‐fY9CgE-­‐688e4k-­‐dxi7Hk-­‐kk3mZ-­‐8xGZxL-­‐az29P5-­‐ dXPWkB-­‐ekYLQy-­‐6EMnyQ-­‐9U1s1d-­‐22CjS2-­‐9u6D1T-­‐8LCNW2-­‐6EHcWT-­‐bf2wDV-­‐egsmCb-­‐84Xbr2-­‐da8jMn-­‐ e5vYVa-­‐aid5CB-­‐7ruavG-­‐8eKo29-­‐7cDQve-­‐tbeS-­‐9gS9o6-­‐iQVE1q-­‐i3N6NQ-­‐h4ST6z-­‐eQczcB-­‐ dPE5pF-­‐6AJLvS-­‐4FXwGz-­‐eQoYFN-­‐H2MtR-­‐rsC34-­‐mt36r9-­‐9E8gsW-­‐mt36Ls-­‐9Ei5gW-­‐efAsmZ  /  undefined   (hZps://creaNvecommons.org/licenses/by-­‐sa/2.0/)   Slide  16   hZps://www.flickr.com/photos/inl/5097547405/in/photolist-­‐8Lsgfn-­‐nX546-­‐5s5DkA-­‐9rnTdL-­‐2KfFof-­‐7GaoYw-­‐dSHr87-­‐6GiYkV-­‐bf2wtK-­‐ bf2wpa-­‐bJDnpB-­‐9uDrJR-­‐fukpM-­‐9fLRVv-­‐i3NECz-­‐bEd42i-­‐ax8z4B-­‐gdMuhT-­‐92kp1F-­‐amQUCH-­‐5NfuQU-­‐xiY2Y-­‐bRoYaF-­‐o94Cj-­‐2dkp-­‐2afa6-­‐ i3Rby3-­‐fY9CgE-­‐688e4k-­‐dxi7Hk-­‐kk3mZ-­‐az29P5-­‐dXPWkB-­‐ekYLQy-­‐6EMnyQ-­‐9U1s1d-­‐22CjS2-­‐8LCNW2-­‐6EHcWT-­‐bf2wDV-­‐ egsmCb-­‐8xGZxL-­‐9u6D1T-­‐d8dMpd-­‐dRuMzt-­‐hypmYn-­‐amkoeY-­‐4nWCrn-­‐7fr163-­‐khg