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NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
NISO Webinar on data curation services at the CDL
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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

"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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  • 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. Why  is  data   curation  a  hot   topic?   From  Flickr  by  Velo  Steve  
  • 3. Back in the day… Da  Vinci   Curie   Newton   classicalschool.blogspot.com   Darwin  
  • 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. From  Flickr  by  ~Minnea~   Data  management   Documentation   Reproducibility  
  • 6. From  Flickr  by  Michael  Tinkler  
  • 7. From  Flickr  by  Michael  Tinkler   Data   Curation    
  • 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. From  Flickr  by  Richard  Eriksson   Culture   Shift  Ahead  
  • 10. Data  are  being  recognized   as  first  class  products  of   research   From  Flickr  by  Richard  Moross  
  • 11. Data  management  plans   Data  sharing  mandates   Data  publications   Data  citation   From  Flickr  by  torkildr  
  • 12. Plan   Collect   Describe   Analyze   Preserve   Share   Data   Life   Cycle  
  • 13. Plan  >  Collect  >  Describe  >  Analyze  >  Preserve  >  Share   dmptool.org  
  • 14. Step-­‐by-­‐step  wizard,  open  to  community     Create,  edit,  re-­‐use,  share,  &  save     data  management  plans   Plan  >  Collect  >  Describe  >  Analyze  >  Preserve  >  Share  
  • 15. Customization:   •  Suggested  answers   •  Help  text   •  Resources  
  • 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. DMPTool2:     Responding  to  the  Community   Administrator  interface   Open  API  /  Interoperability   Improved  functionality   Winter 2013-2014
  • 18. Plan  >  Collect  >  Describe  >  Analyze  >  Preserve  >  Share   dataup.cdlib.org  
  • 19. Plan  >  Collect  >  Describe  >  Analyze  >  Preserve  >  Share   Open  source  tool  to   describe,  manage,  and   share  tabular  data  
  • 20. Features   Best  practices  check   Generate  metadata   Get  identifier  &  citation   Post  data  to  repository  
  • 21. •  NSF  funding  via   DataONE   •  Partnership  with   Microsoft   Research,  SDSC   •  Enable   Customization  From  animationresources.org  
  • 22. Plan  >  Collect  >  Describe  >  Analyze  >  Preserve  >  Share   merritt.cdlib.org  
  • 23. Plan  >  Collect  >  Describe  >  Analyze  >  Preserve  >  Share   Repository  for  preservation     &  access  to  digital  assets    
  • 24. •  Open  to  the  UC  community  and   external  partners   •  Content-­‐agnostic   •  Dark  archive  for  long-­‐term   preservation   •  Bright  archive  for  sharing  
  • 25. Plan  >  Collect  >  Describe  >  Analyze  >  Preserve  >  Share   was.cdlib.org  
  • 26. Analysis  tools   Full-­‐text  search   10,772  web  sites   Preserve  &  store   websites   “The  New  Internet”  from  siliconangle.com  
  • 27. Plan  >  Collect  >  Describe  >  Analyze  >  Preserve  >  Share   n2t.net/ezid  
  • 28. Plan  >  Collect  >  Describe  >  Analyze  >  Preserve  >  Share   Create  persistent  identifiers   Manage  identifiers  &  associated  metadata   Resolve  identifiers  
  • 29. DOI:    10.1890/1540-­‐9295-­‐10.2.59   ARK:  90135/q13f4mjk     Resolver   Website   with   “object”  
  • 30.   ARKs   DOIs   IDF   EZID   CLIENTS   DOIs   DOIs   Where  are  these   identifiers  from?  
  • 31. EZID   CLIENTS  
  • 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. 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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