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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	
  
Roadmap	
  



                          4.  DMPTool	
  
                  3.  Toolbox	
  
          2.  Data	
  Management	
  Plans	
  101	
  
1.  Welcome	
  &	
  Logistics	
  
	
  
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	
  
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	
  
Who	
  we	
  are	
  




        19	
  January	
  2012	
  Ÿ	
  UC3	
  Webinar	
  Series	
  Ÿ	
  	
  California	
  Digital	
  Library	
  
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	
  
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	
  
Roadmap	
  



                          4.  DMPTool	
  
                  3.  Toolbox	
  
          2.  Data	
  Management	
  Plans	
  101	
  
1.  Welcome	
  &	
  Logistics	
  
	
  
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	
  
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	
  
Who	
  cares?	
  
       	
  

                                          www.rba.gov.au	
  




       From	
  Flickr	
  by	
  AJC1	
  

                                                               From	
  Flickr	
  by	
  Redden-­‐McAllister	
  
Where	
  data	
  end	
  up	
  
                                                                    From	
  Flickr	
  by	
  diylibrarian	
  




                                                                                                               www




  Data	
  
                                                                                         www
Metadata	
  
                             From	
  Flickr	
  by	
  torkildr	
  




                                                                                       Recreated	
  from	
  Klump	
  et	
  al.	
  2006	
  
Trends	
  in	
  Data	
  Archiving	
  
Journal	
  publishers	
  
Joint	
  Data	
  Archiving	
  Agreement	
  
Trends	
  in	
  Data	
  Archiving	
  
Journal	
  publishers	
  
Joint	
  Data	
  Archiving	
  Agreement	
  
	
  
Data	
  Papers	
  
Ecological	
  Archives,	
  Beyond	
  the	
  PDF	
  
Trends	
  in	
  Data	
  Archiving	
  
Journal	
  publishers	
  
Joint	
  Data	
  Archiving	
  Agreement	
  
	
  
Data	
  Papers	
  
Ecological	
  Archives,	
  Beyond	
  the	
  PDF	
  
	
  
Funders	
  
Data	
  management	
  requirements	
  
	
  
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	
  
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	
  
	
  
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	
  
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	
  
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	
  
 	
  

 	
  
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	
  
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	
  
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	
  
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?	
  
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?	
  
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	
  
Don’t	
  forget:	
  Budget	
  
•  Costs	
  of	
  data	
  preparation	
  &	
  documentation	
  
           Hardware,	
  software	
  
           Personnel	
  
           Archive	
  fees	
  
•  How	
  costs	
  will	
  be	
  paid	
  	
  
           Request	
  funding!	
  



                                                                  dorrvs.com	
  
Roadmap	
  



                          4.  DMPTool	
  
                  3.  Toolbox	
  
          2.  Data	
  Management	
  Plans	
  101	
  
1.  Welcome	
  &	
  Logistics	
  
	
  
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	
  
Toolbox:	
   101"
                                                                       Data Management
From	
  Flickr	
  by	
  dipster1	
  




                                                               	
  DCXL	
  website	
  	
  	
  dcxl.cdlib.org	
  
                                       •    Data	
  Education	
  Tutorials	
  
                                       •    Primer	
  on	
  data	
  management	
  
                                       •    Other	
  resources	
  
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	
  
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	
  
Toolbox:	
  
From	
  Flickr	
  by	
  dipster1	
  




                                       	
  Institutional	
  Services	
  


                                          Check	
  with	
  your	
  
                                       institution’s	
  librarians	
  
Toolbox:	
  
From	
  Flickr	
  by	
  dipster1	
  




                                       	
  DMPTool	
   dmp.cdlib.org	
  
Roadmap	
  



                          4.  DMPTool	
  
                  3.  Toolbox	
  
          2.  Data	
  Management	
  Plans	
  101	
  
1.  Welcome	
  &	
  Logistics	
  
	
  
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	
  
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	
  
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	
  
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	
  
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	
  
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	
  
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	
  
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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Data Management Planning and the DMPTool

  • 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. Roadmap   4.  DMPTool   3.  Toolbox   2.  Data  Management  Plans  101   1.  Welcome  &  Logistics    
  • 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. 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. Who  we  are   19  January  2012  Ÿ  UC3  Webinar  Series  Ÿ    California  Digital  Library  
  • 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. 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. Roadmap   4.  DMPTool   3.  Toolbox   2.  Data  Management  Plans  101   1.  Welcome  &  Logistics    
  • 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. 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. Who  cares?     www.rba.gov.au   From  Flickr  by  AJC1   From  Flickr  by  Redden-­‐McAllister  
  • 12. Where  data  end  up   From  Flickr  by  diylibrarian   www Data   www Metadata   From  Flickr  by  torkildr   Recreated  from  Klump  et  al.  2006  
  • 13. Trends  in  Data  Archiving   Journal  publishers   Joint  Data  Archiving  Agreement  
  • 14. Trends  in  Data  Archiving   Journal  publishers   Joint  Data  Archiving  Agreement     Data  Papers   Ecological  Archives,  Beyond  the  PDF  
  • 15. Trends  in  Data  Archiving   Journal  publishers   Joint  Data  Archiving  Agreement     Data  Papers   Ecological  Archives,  Beyond  the  PDF     Funders   Data  management  requirements    
  • 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. Don’t  forget:  Budget   •  Costs  of  data  preparation  &  documentation   Hardware,  software   Personnel   Archive  fees   •  How  costs  will  be  paid     Request  funding!   dorrvs.com  
  • 28. Roadmap   4.  DMPTool   3.  Toolbox   2.  Data  Management  Plans  101   1.  Welcome  &  Logistics    
  • 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. Toolbox:   101" Data Management From  Flickr  by  dipster1    DCXL  website      dcxl.cdlib.org   •  Data  Education  Tutorials   •  Primer  on  data  management   •  Other  resources  
  • 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. 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. Toolbox:   From  Flickr  by  dipster1    Institutional  Services   Check  with  your   institution’s  librarians  
  • 34. Toolbox:   From  Flickr  by  dipster1    DMPTool   dmp.cdlib.org  
  • 35. Roadmap   4.  DMPTool   3.  Toolbox   2.  Data  Management  Plans  101   1.  Welcome  &  Logistics    
  • 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. 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. 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. 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  
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  • 53. 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  
  • 54. 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  
  • 55. 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  
  • 56. 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