Your SlideShare is downloading. ×
Making Data Dynamic: Views from UC3, CDL
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Making Data Dynamic: Views from UC3, CDL

331

Published on

Presentation for the 2013 Society for Scholarly Publication meeting, 6 June 2013. Covers DMPTool, DataUp, and EZID.

Presentation for the 2013 Society for Scholarly Publication meeting, 6 June 2013. Covers DMPTool, DataUp, and EZID.

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
331
On Slideshare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
0
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. Making  Data  Dynamic  Perspectives  from  University  of  California  Curation  Center  (UC3)    California  Digital  Library    Carly  Strasser,  PhD  @carlystrasser  SSP  Conference,  San  Francisco  CA  6  June  2013  
  • 2. Why  is  data  management      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. Digital  data  +    Complex  workflows  
  • 6. THETRUTHData  management?  Metadata?  Data  repositories?  Share  data  publicly?  Why  share  data?  From  sandierpastures.com  ABOUTRESEARCHERS
  • 7. A  document  that  describes  what  you  will  do  with  your  data  both  throughout    the  research  project  From Flickr by Barbies LandWhat  is  a  data  management  plan?  
  • 8. For  funders:  A  short  plan  submitted  alongside  grant  applications  But they all havedifferent requirementsand express them indifferent waysFrom  Flickr  by  401(K)  2013    An  outline  of    –  what  will  be  collected  –  methods  –  Standards  –  Metadata  –  sharing/access  –  long-­‐term  storage    Includes  how  and  why  
  • 9. FromFlickrbythewmatt
  • 10. DMPTool  Project  Started  working  in  January  2011  Developed  requirements,  divided  work    Self-­‐funded  /  In-­‐kind      
  • 11. http://dmptool.org  
  • 12. DMPTool  Uptake  01002003004005006007008000100020003000400050006000NumberofInstitutionsNumberofPlans(solid)&UniqueUsers(dashed)Unique UsersPlansInstitutions73652114519
  • 13. New  Areas  of  Functionality  in  2013  Granular  modeling  of  plan  templates  Granular  modeling  of  institutions  Role-­‐based  user  authorization  DMP  life  cycle  management  Organizational  planning  activities    Enhanced  search  and  browse  Institutional  branding    Search  and  reporting  for  business  intelligence    Advanced  administrative  interface    Collaborative  plan  creation  Open  API    
  • 14. 1.  Create  persistent  identifiers  2.  Manage  identifiers  &  associated  metadata  3.  Resolve  identifiers  DOI:    10.1890/1540-­‐9295-­‐10.2.59  ARK:  ark:/12025/654xz321/s3/f8.05v    Resolver   Website  with  “object”  
  • 15. DOI:    10.1890/1540-­‐9295-­‐10.2.59    Resolver   Website  with  “object”  
  • 16. •  Non-­‐profit  international  organization  •  International  DOI  Foundation  Member  •  Goals:  enable  access  to  research;  promote  data  as  important  outputs;  support  data  archiving  
  • 17.  ARKs  DOIs  IDF  EZID  CLIENTS  DOIs  DOIs  Where  are  these  identifiers  from?  
  • 18. EZID  CLIENTS  
  • 19. DOIs   ARKs  Strict  metadata  requirements   Flexible  metadata  guidelines  From  the  scholarly  communication  community  From  the  archives  and  museums  community  Established  “brand  name”   Option-­‐rich,  open  source  $$$   $  
  • 20. http://n2t.net/ezid  
  • 21. 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  
  • 22. Intercept  researchers  where  they  already  work  
  • 23. Facilitate  Archiving  Sharing  Publishing  Data  management  &  organization  Data  Reuse  &  Reproducibility  
  • 24. What  the  tool  should  do:    Best  practices  check  Generate  metadata  (EML)  Get  identifier  +  citation  Post  data  to  repository    From  Flickr  by  dipster1  
  • 25. Data  Repository  for  Anyone  |  Anywhere  
  • 26. http://dataup.org  
  • 27. •  New  language  •  Focus  on  web  app  •  Emphasize  Best  Practices  Check  •  Leverage  existing  tools  •  Enable  Customization  From  animationresources.org  
  • 28. dataup.cdlib.org  @DataUpCDL  facebook.com/DataUpCDL  bitbucket.org/dataup/main  Website  Twitter  feed  Facebook  Code  site  
  • 29. cdlib.org/services/uc3  n2t.net/ezid  dataup.cdlib.org  dmptool.org  
  • 30. My  website  Email  me  Tweet  me  My  slides  CDL  Blog  carlystrasser.net  carlystrasser@gmail.com  @carlystrasser    slideshare.net/carlystrasser  datapub.cdlib.org  

×