Data	  Management	  Plans	                                                      	                                         ...
Roadmap	                            4.  DMPTool	                    3.  Toolbox	            2.  Data	  Management	  Plans	...
Logistics	  for	  Webinar	  •    Participants	  on	  mute	  •    Chat	  is	  being	  monitored	  •    ~15	  minutes	  for	...
Who	  we	  are	  Partnership	  between	  	  CDL	  |	  10	  UC	  campuses	  |	  Peer	  institutions	  	  Provide	  solution...
Who	  we	  are	          19	  January	  2012	  Ÿ	  UC3	  Webinar	  Series	  Ÿ	  	  California	  Digital	  Library	  
Who	  you	  are	        Re se a rc h e r                                                                                  ...
Who	  you	  are	                                        C o nt r ib u to r Help	  us	  improve	  the	  DMPTool	   By	  tak...
Roadmap	                            4.  DMPTool	                    3.  Toolbox	            2.  Data	  Management	  Plans	...
From	  Flickr	  by	  	  DW0825	                                                                                           ...
Where	  data	  end	  up	                                                         From	  Flickr	  by	  diylibrarian	       ...
Who	  cares?	         	                                            www.rba.gov.au	         From	  Flickr	  by	  AJC1	     ...
Where	  data	  end	  up	                                                                      From	  Flickr	  by	  diylibr...
Trends	  in	  Data	  Archiving	  Journal	  publishers	  Joint	  Data	  Archiving	  Agreement	  
Trends	  in	  Data	  Archiving	  Journal	  publishers	  Joint	  Data	  Archiving	  Agreement	  	  Data	  Papers	  Ecologic...
Trends	  in	  Data	  Archiving	  Journal	  publishers	  Joint	  Data	  Archiving	  Agreement	  	  Data	  Papers	  Ecologic...
What	  is	  a	  data	  management	  plan?	  A	  document	  that	  describes	  what	  you	  will	  do	  with	  your	  data	...
Why	  should	  I	  prepare	  a	  DMP?	                                      	         	         Saves	  time	         Incr...
NSF	  DMP	  Requirements	   From	  Grant	  Proposal	  Guidelines:	  	  DMP	  supplement	  may	  include:	       1.  the	  ...
NSF’s	  Vision*	      DMPs	  and	  their	  evaluation	  will	  grow	  &	  change	  over	  time	      (similar	  to	  broad...
NSF’s	  Vision*	   DMPs	  are	  a	  good	  first	  step	  towards	  improving	  data	   stewardship	          –  starting	 ...
NSF	  DMP	  Requirements	   From	  Grant	  Proposal	  Guidelines:	  	  DMP	  supplement	  may	  include:	       1.  the	  ...
1.  Types	  of	  data	  &	  other	  information	  •  Types	  of	  data	  produced	  •  Relationship	  to	  existing	  data...
2.  Data	  &	  metadata	  standards	                                            What	  is	                                ...
2.  Data	  &	  metadata	  standards	  •  What	  metadata	  are	  needed	  to	  make	  the	  data	  meaningful?	  •  How	  ...
3.  Policies	  for	  access	  &	  sharing	         4.  Policies	  for	  re-­‐use	  &	  re-­‐distribution	  •  Are	  you	  ...
5.  Plans	  for	  archiving	  &	  preservation	  •  What	  data	  will	  be	  preserved	  for	  the	  long	  term?	  For	 ...
Don’t	  forget:	  Budget	  •  Costs	  of	  data	  preparation	  &	  documentation	             Hardware,	  software	      ...
Roadmap	                            4.  DMPTool	                    3.  Toolbox	            2.  Data	  Management	  Plans	...
Toolbox:	  From	  Flickr	  by	  dipster1	                                                                    	           w...
Toolbox:	   101"                                                                       Data ManagementFrom	  Flickr	  by	 ...
Toolbox:	  From	  Flickr	  by	  dipster1	                                                                  	  DCXL	  blog:...
Toolbox:	  From	  Flickr	  by	  dipster1	                                                                 	  Institutional...
Toolbox:	  From	  Flickr	  by	  dipster1	                                         	  Institutional	  Services	            ...
Toolbox:	  From	  Flickr	  by	  dipster1	                                         	  DMPTool	   dmp.cdlib.org	  
Roadmap	                            4.  DMPTool	                    3.  Toolbox	            2.  Data	  Management	  Plans	...
DMPTool	  for	  Data	  Management	  Plans	  •  Helps	  researchers	  meet	  requirements	  of	  NSF	     and	  other	  U.S...
Goals	  of	  the	  DMPTool,	  I	  •  To	  provide	  researchers	  a	  simple	  way	  to	  create	     a	  Data	  Managemen...
Goals	  of	  the	  DMPTool,	  II	  •  To	  provide	  researchers	  with	  additional	     information	  from	  their	  loc...
DMPTool	  project	  •  Partners:	  CDL,	  DataONE,	  Smithsonian,	  UCLA,	     UCSD,	  UIUC,	  UVa,	  Digital	  Curation	 ...
Future	  Development	  •  Partners’	  meeting	  in	  late	  January	  to	  discuss	         –  User	  survey	  results	   ...
How	  you	  can	  participate	  •  User	  survey	  •  Talk	  to	  your	  librarian	  or	  data	  center	  staff	     about:...
Project	  participants	  •  CDL/UC3:	                      •  Smithsonian	                      •  Univ	  of	  Illinois:	 ...
Email	  us:	  	  uc3@ucop.edu	  UC	  Community:	  www.cdlib.org/services/uc3	  Help	  us	  improve	  the	  DMPTool	  By	  ...
Data Management Planning and the DMPTool
Data Management Planning and the DMPTool
Data Management Planning and the DMPTool
Data Management Planning and the DMPTool
Data Management Planning and the DMPTool
Data Management Planning and the DMPTool
Data Management Planning and the DMPTool
Data Management Planning and the DMPTool
Data Management Planning and the DMPTool
Data Management Planning and the DMPTool
Data Management Planning and the DMPTool
Data Management Planning and the DMPTool
Data Management Planning and the DMPTool
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Data Management Planning and the DMPTool

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Webinar for California Digital Library, 19 January 2012

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Data Management Planning and the DMPTool

  1. 1. Data  Management  Plans     Tips   Tricks  From  Flickr  by  dipster1   Tools   Carly  Strasser  &  Perry  Willett   University  of  California  Curation  Center   California  Digital  Library   19  January  2012  Ÿ  UC3  Webinar  Series  Ÿ    California  Digital  Library  
  2. 2. Roadmap   4.  DMPTool   3.  Toolbox   2.  Data  Management  Plans  101  1.  Welcome  &  Logistics    
  3. 3. Logistics  for  Webinar  •  Participants  on  mute  •  Chat  is  being  monitored  •  ~15  minutes  for  Q&A  after  webinar  •  Slides  and  web/voice  recordings  will  be  posted  after   presentation  •  Phone:  866-­‐740-­‐1260,  access  code  6408974#  •  Schedule  of  webinars  available  at     www.cdlib.org/uc3/uc3webinars.html   19  January  2012  Ÿ  UC3  Webinar  Series  Ÿ    California  Digital  Library  
  4. 4. Who  we  are  Partnership  between    CDL  |  10  UC  campuses  |  Peer  institutions    Provide  solutions,  services,  resources  for  digital  assets      Pool  &  distribute  diverse  experience,  expertise,  &  resources     19  January  2012  Ÿ  UC3  Webinar  Series  Ÿ    California  Digital  Library  
  5. 5. Who  we  are   19  January  2012  Ÿ  UC3  Webinar  Series  Ÿ    California  Digital  Library  
  6. 6. Who  you  are   Re se a rc h e r ra r ia n Li b ??? G rad st ude nt Ad m i n ist rato r emily   From  Flickr  by  maybe 19  January  2012  Ÿ  UC3  Webinar  Series  Ÿ    California  Digital  Library  
  7. 7. Who  you  are   C o nt r ib u to r Help  us  improve  the  DMPTool   By  taking  this  survey:   http://tinyurl.com/DMPToolsurvey   http://www.surveymonkey.com/s/LSTV8QL   19  January  2012  Ÿ  UC3  Webinar  Series  Ÿ    California  Digital  Library  
  8. 8. Roadmap   4.  DMPTool   3.  Toolbox   2.  Data  Management  Plans  101  1.  Welcome  &  Logistics    
  9. 9. From  Flickr  by    DW0825   From  Flickr  by  Flickmor   From  Flickr  by    deltaMike   Digital  data   www.woodrow.org   C.  Strasser   Courtesey  of  WHOI   From  Flickr  by  US  Army  Environmental  Command  
  10. 10. Where  data  end  up   From  Flickr  by  diylibrarian   www blog.order2disorder.com   From  Flickr  by  csessums   Data  Metadata   From  Flickr  by  csessums   Recreated  from  Klump  et  al.  2006  
  11. 11. Who  cares?     www.rba.gov.au   From  Flickr  by  AJC1   From  Flickr  by  Redden-­‐McAllister  
  12. 12. Where  data  end  up   From  Flickr  by  diylibrarian   www Data   wwwMetadata   From  Flickr  by  torkildr   Recreated  from  Klump  et  al.  2006  
  13. 13. Trends  in  Data  Archiving  Journal  publishers  Joint  Data  Archiving  Agreement  
  14. 14. Trends  in  Data  Archiving  Journal  publishers  Joint  Data  Archiving  Agreement    Data  Papers  Ecological  Archives,  Beyond  the  PDF  
  15. 15. Trends  in  Data  Archiving  Journal  publishers  Joint  Data  Archiving  Agreement    Data  Papers  Ecological  Archives,  Beyond  the  PDF    Funders  Data  management  requirements    
  16. 16. What  is  a  data  management  plan?  A  document  that  describes  what  you  will  do  with  your  data   during  and  after  you  complete  your  research   Robert  Stadler  installation  from  Flickr  by  Dom  Dada  
  17. 17. Why  should  I  prepare  a  DMP?       Saves  time   Increases  efficiency   Easier  to  use  data       Others  can  understand  &  use  data   Credit  for  data  products   Funders  require  it    
  18. 18. NSF  DMP  Requirements   From  Grant  Proposal  Guidelines:    DMP  supplement  may  include:   1.  the  types  of  data,  samples,  physical  collections,  software,  curriculum   materials,  and  other  materials  to  be  produced  in  the  course  of  the  project   2.   the  standards  to  be  used  for  data  and  metadata  format  and  content  (where   existing  standards  are  absent  or  deemed  inadequate,  this  should  be   documented  along  with  any  proposed  solutions  or  remedies)   3.   policies  for  access  and  sharing  including  provisions  for  appropriate   protection  of  privacy,  confidentiality,  security,  intellectual  property,  or  other   rights  or  requirements   4.   policies  and  provisions  for  re-­‐use,  re-­‐distribution,  and  the  production  of   derivatives   5.   plans  for  archiving  data,  samples,  and  other  research  products,  and  for   preservation  of  access  to  them  
  19. 19. NSF’s  Vision*   DMPs  and  their  evaluation  will  grow  &  change  over  time   (similar  to  broader  impacts)   Peer  review  will  determine  next  steps   Community-­‐driven  guidelines     –  Disciplines  have  different  definitions  of  acceptable  data  sharing   –  Flexibility  at  the  directorate  and  division  levels   –  Tailor  implementation  of  DMP  requirement   Evaluation  will  vary  with  directorate,  division,  &  program   officer    *Unofficially   Help  from  Jennifer  Schopf,  NSF  
  20. 20. NSF’s  Vision*   DMPs  are  a  good  first  step  towards  improving  data   stewardship   –  starting  discussion   –  scientists  learning  about  data  management   Additional  expertise  on  panels  to  effectively  evaluate   DMPs  (?)   Working  group  will  assess  outcomes    *Unofficially      
  21. 21. NSF  DMP  Requirements   From  Grant  Proposal  Guidelines:    DMP  supplement  may  include:   1.  the  types  of  data,  samples,  physical  collections,  software,  curriculum   materials,  and  other  materials  to  be  produced  in  the  course  of  the  project   2.   the  standards  to  be  used  for  data  and  metadata  format  and  content  (where   existing  standards  are  absent  or  deemed  inadequate,  this  should  be   documented  along  with  any  proposed  solutions  or  remedies)   3.   policies  for  access  and  sharing  including  provisions  for  appropriate   protection  of  privacy,  confidentiality,  security,  intellectual  property,  or  other   rights  or  requirements   4.   policies  and  provisions  for  re-­‐use,  re-­‐distribution,  and  the  production  of   derivatives   5.   plans  for  archiving  data,  samples,  and  other  research  products,  and  for   preservation  of  access  to  them  
  22. 22. 1.  Types  of  data  &  other  information  •  Types  of  data  produced  •  Relationship  to  existing  data  •  How/when/where  will  the  data  be  captured  or   created?   C.  Strasser  •  How  will  the  data  be  processed?  •  Quality  assurance  &  quality  control  measures  •  Security:  version  control,  backing  up   biology.kenyon.edu  •  Who  will  be  responsible  for  data  management   during/after  project?   From  Flickr  by  Lazurite  
  23. 23. 2.  Data  &  metadata  standards   What  is   metadata?  Data  reporting   •  WHO  created  the  data?   Wired.com   •  WHAT  is  the  content  of  the  data  set?   •  WHEN  was  it  created?   •  WHERE  was  it  collected?   •  HOW  was  it  developed?   •  WHY  was  it  developed?   From  Flickr  by  proteinbiochemist  
  24. 24. 2.  Data  &  metadata  standards  •  What  metadata  are  needed  to  make  the  data  meaningful?  •  How  will  you  create  or  capture  these  metadata?     Wired.com  •  Why  have  you  chosen  particular  standards  and  approaches   for  metadata?  
  25. 25. 3.  Policies  for  access  &  sharing   4.  Policies  for  re-­‐use  &  re-­‐distribution  •  Are  you  under  any  obligation  to  share  data?    •  How,  when,  &  where  will  you  make  the  data  available?    •  What  is  the  process  for  gaining  access  to  the  data?    •  Who  owns  the  copyright  and/or  intellectual  property?  •  Will  you  retain  rights  before  opening  data  to  wider  use?  How  long?  •  Are  permission  restrictions  necessary?  •  Embargo  periods  for  political/commercial/patent  reasons?    •  Ethical  and  privacy  issues?  •  Who  are  the  foreseeable  data  users?  •  How  should  your  data  be  cited?  
  26. 26. 5.  Plans  for  archiving  &  preservation  •  What  data  will  be  preserved  for  the  long  term?  For  how  long?      •  Where  will  data  be  preserved?  •  What  data  transformations  need  to  occur  before   preservation?  •  What  metadata  will  be  submitted   alongside  the  datasets?  •  Who  will  be  responsible  for  preparing   data  for  preservation?  Who  will  be  the   main  contact  person  for  the  archived   data?   From  Flickr  by  theManWhoSurfedTooMuch  
  27. 27. Don’t  forget:  Budget  •  Costs  of  data  preparation  &  documentation   Hardware,  software   Personnel   Archive  fees  •  How  costs  will  be  paid     Request  funding!   dorrvs.com  
  28. 28. Roadmap   4.  DMPTool   3.  Toolbox   2.  Data  Management  Plans  101  1.  Welcome  &  Logistics    
  29. 29. Toolbox:  From  Flickr  by  dipster1     www.dataone.org   •  Data  Education  Tutorials   •  Database  of  best  practices     &  software  tools   •  Links  to  DMPTool   •  Primer  on  data  management   From  Flickr  by  Robert  Hruzek  
  30. 30. Toolbox:   101" Data ManagementFrom  Flickr  by  dipster1    DCXL  website      dcxl.cdlib.org   •  Data  Education  Tutorials   •  Primer  on  data  management   •  Other  resources  
  31. 31. Toolbox:  From  Flickr  by  dipster1    DCXL  blog:  dcxl.cdlib.org   •  Data  Education  Tutorials   •  Primer  on  data  management   •  Other  resources   dcxl.cdlib.org   www.carlystrasser.net/Resources  
  32. 32. Toolbox:  From  Flickr  by  dipster1    Institutional  Services   UC  Community:  www.cdlib.org/services/uc3   Deposit  |  Share  |  Preserve  data   Precise  identification  of  a  dataset   Credit  to  data  producers  and  data  publishers   Link  traditional  literature  to  data   Research  metrics  for  datasets  
  33. 33. Toolbox:  From  Flickr  by  dipster1    Institutional  Services   Check  with  your   institution’s  librarians  
  34. 34. Toolbox:  From  Flickr  by  dipster1    DMPTool   dmp.cdlib.org  
  35. 35. Roadmap   4.  DMPTool   3.  Toolbox   2.  Data  Management  Plans  101  1.  Welcome  &  Logistics    
  36. 36. DMPTool  for  Data  Management  Plans  •  Helps  researchers  meet  requirements  of  NSF   and  other  U.S.  funding  agencies.  •  Guides  researchers  through  the  process  of   creating  a  data  management  plan.  •  Is  available  to  everyone  at  no  cost.  •  Provides  additional  help  for  researchers  at   DMPTool  partner  institutions   http://dmp.cdlib.org                      Jan  19,  2012  
  37. 37. Goals  of  the  DMPTool,  I  •  To  provide  researchers  a  simple  way  to  create   a  Data  Management  Plan  by  giving  them   information  from  the  funding  agency:   –  Questions  asked  by  the  agency   –  Any  additional  explanation  or  context  provided  by   the  agency   –  Links  to  the  agency  website  for  policies,  help,   guidance   http://dmp.cdlib.org                      Jan  19,  2012  
  38. 38. Goals  of  the  DMPTool,  II  •  To  provide  researchers  with  additional   information  from  their  local  institution:   –  Resources  and  services  to  help  them  manage  data   –  Help  text  for  specific  questions   –  Suggested  answers  to  questions  that  they  can   simply  cut-­‐and-­‐paste   –  News  and  events  related  to  data  management  on   their  campus   http://dmp.cdlib.org                      Jan  19,  2012  
  39. 39. DMPTool  project  •  Partners:  CDL,  DataONE,  Smithsonian,  UCLA,   UCSD,  UIUC,  UVa,  Digital  Curation  Centre  (UK)   –  Great  team!  •  Started  work  in  January  2011  •  Developed  requirements,  divided  work  among   partners,  self-­‐funded  •  Usability  testing  at  Ecological  Society  of  America   conference  and  Univ  of  Virginia   http://dmp.cdlib.org                      Jan  19,  2012  
  40. 40. Future  Development  •  Partners’  meeting  in  late  January  to  discuss   –  User  survey  results   –  Priorities  for  additional  development   –  Governance,  development,  funding  models  •  Additional  US  funding  agencies  (NIH,  others)   coming  soon     http://dmp.cdlib.org                      Jan  19,  2012  
  41. 41. How  you  can  participate  •  User  survey  •  Talk  to  your  librarian  or  data  center  staff   about:   –  Shibboleth  login  (“single  sign-­‐on”)   –  Add  links  to  local  resources,  help  text,  suggested   answers,  contact  information   –  Blog  for  local  news  and  events     http://dmp.cdlib.org                      Jan  19,  2012  
  42. 42. Project  participants  •  CDL/UC3:   •  Smithsonian   •  Univ  of  Illinois:   –  Trisha  Cruse   Institution:   –  Michael  Grady   –  Perry  Willett   –  Günter  Waibel   –  Howard  Ding   –  Marisa  Strong   –  Sarah  Shreeves   –  Tracy  Seneca     •  UCLA:   –  Scott  Fisher   –  Todd  Grappone   •  Univ  of  Virginia:   –  Stephen  Abrams   –  Gary  Thompson   –  Andrew  Sallans   –  Mark  Reyes   –  Darrow  Cole   –  Sherry  Lake   –  Margaret  Low   •  UCSD:   –  Carla  Lee  •  DataONE:   –  Brad  Westbrook   •  Digital  Curation   –  Amber  Budden   Centre:   –  Martin  Donnelly     http://dmp.cdlib.org                      Jan  19,  2012  
  43. 43. Email  us:    uc3@ucop.edu  UC  Community:  www.cdlib.org/services/uc3  Help  us  improve  the  DMPTool  By  taking  this  survey:  http://tinyurl.com/DMPToolsurvey  http://www.surveymonkey.com/s/LSTV8QL   19  January  2012  Ÿ  UC3  Webinar  Series  Ÿ    California  Digital  Library  

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