NISO Webinar on data curation services at the CDL

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"Building communities and Services in Support of Data-Intensive Research". Webinar on 18 Sept 2013 for the NISO Webinar Series. This was part 2 of 2 for Data Curation

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NISO Webinar on data curation services at the CDL

  1. 1. Building  Communities  &  Services     in  Support  of  Data-­‐Intensive  Research   From  Flickr  by  oennuja   NISO  webinar   17  Sept  2013   Carly  Strasser    |    California  Digital  Library     @carlystrasser  
  2. 2. Why  is  data   curation  a  hot   topic?   From  Flickr  by  Velo  Steve  
  3. 3. Back in the day… Da  Vinci   Curie   Newton   classicalschool.blogspot.com   Darwin  
  4. 4. Digital  data   From  Flickr  by  Flickmor   From  Flickr  by  US  Army  Environmental  Command   From  Flickr  by    DW0825   C.  Strasser   Courtesey  of  WHOI   From  Flickr  by    deltaMike  
  5. 5. From  Flickr  by  ~Minnea~   Data  management   Documentation   Reproducibility  
  6. 6. From  Flickr  by  Michael  Tinkler  
  7. 7. From  Flickr  by  Michael  Tinkler   Data   Curation    
  8. 8. Data  curation  is  a  continuation  of  the  library’s   long-­‐standing  mission  to  connect  patrons  with   content  in  meaningful  ways  across  barriers  of   space  and  time.   -­‐  C  Tenopir  et  al.  2012   From  Flickr  by  neilio  
  9. 9. From  Flickr  by  Richard  Eriksson   Culture   Shift  Ahead  
  10. 10. Data  are  being  recognized   as  first  class  products  of   research   From  Flickr  by  Richard  Moross  
  11. 11. Data  management  plans   Data  sharing  mandates   Data  publications   Data  citation   From  Flickr  by  torkildr  
  12. 12. Plan   Collect   Describe   Analyze   Preserve   Share   Data   Life   Cycle  
  13. 13. Plan  >  Collect  >  Describe  >  Analyze  >  Preserve  >  Share   dmptool.org  
  14. 14. Step-­‐by-­‐step  wizard,  open  to  community     Create,  edit,  re-­‐use,  share,  &  save     data  management  plans   Plan  >  Collect  >  Describe  >  Analyze  >  Preserve  >  Share  
  15. 15. Customization:   •  Suggested  answers   •  Help  text   •  Resources  
  16. 16. DMPTool  Uptake   0 100 200 300 400 500 600 700 800 0 1000 2000 3000 4000 5000 6000 NumberofInstitutions NumberofPlans(solid)&UniqueUsers(dashed) Unique Users Plans Institutions 736 5211 4519
  17. 17. DMPTool2:     Responding  to  the  Community   Administrator  interface   Open  API  /  Interoperability   Improved  functionality   Winter 2013-2014
  18. 18. Plan  >  Collect  >  Describe  >  Analyze  >  Preserve  >  Share   dataup.cdlib.org  
  19. 19. Plan  >  Collect  >  Describe  >  Analyze  >  Preserve  >  Share   Open  source  tool  to   describe,  manage,  and   share  tabular  data  
  20. 20. Features   Best  practices  check   Generate  metadata   Get  identifier  &  citation   Post  data  to  repository  
  21. 21. •  NSF  funding  via   DataONE   •  Partnership  with   Microsoft   Research,  SDSC   •  Enable   Customization  From  animationresources.org  
  22. 22. Plan  >  Collect  >  Describe  >  Analyze  >  Preserve  >  Share   merritt.cdlib.org  
  23. 23. Plan  >  Collect  >  Describe  >  Analyze  >  Preserve  >  Share   Repository  for  preservation     &  access  to  digital  assets    
  24. 24. •  Open  to  the  UC  community  and   external  partners   •  Content-­‐agnostic   •  Dark  archive  for  long-­‐term   preservation   •  Bright  archive  for  sharing  
  25. 25. Plan  >  Collect  >  Describe  >  Analyze  >  Preserve  >  Share   was.cdlib.org  
  26. 26. Analysis  tools   Full-­‐text  search   10,772  web  sites   Preserve  &  store   websites   “The  New  Internet”  from  siliconangle.com  
  27. 27. Plan  >  Collect  >  Describe  >  Analyze  >  Preserve  >  Share   n2t.net/ezid  
  28. 28. Plan  >  Collect  >  Describe  >  Analyze  >  Preserve  >  Share   Create  persistent  identifiers   Manage  identifiers  &  associated  metadata   Resolve  identifiers  
  29. 29. DOI:    10.1890/1540-­‐9295-­‐10.2.59   ARK:  90135/q13f4mjk     Resolver   Website   with   “object”  
  30. 30.   ARKs   DOIs   IDF   EZID   CLIENTS   DOIs   DOIs   Where  are  these   identifiers  from?  
  31. 31. EZID   CLIENTS  
  32. 32. Identifiers  &  Data  Citation   Allows  readers  to  find  data  products   Get  credit  for  data  and  publications   Promotes  reproducibility   Better  measure  of  research  impact   Example:   Sidlauskas,  B.  2007.  Data  from:  Testing  for  unequal  rates  of   morphological  diversification  in  the  absence  of  a  detailed   phylogeny:  a  case  study  from  characiform  fishes.  Dryad  Digital   Repository.  doi:10.5061/dryad.20  
  33. 33. Website   Email   Tweet   Slides   CDL  Blog   carlystrasser.net   carlystrasser@gmail.com   @carlystrasser     slideshare.net/carlystrasser   datapub.cdlib.org   cdlib.org/services/uc3  

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