• Save
Making Data Dynamic: Views from UC3, CDL
Upcoming SlideShare
Loading in...5
×
 

Making Data Dynamic: Views from UC3, CDL

on

  • 485 views

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.

Statistics

Views

Total Views
485
Views on SlideShare
482
Embed Views
3

Actions

Likes
0
Downloads
0
Comments
0

1 Embed 3

https://twitter.com 3

Accessibility

Categories

Upload Details

Uploaded via as Adobe PDF

Usage Rights

CC Attribution License

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

    Making Data Dynamic: Views from UC3, CDL Making Data Dynamic: Views from UC3, CDL Presentation Transcript

    • 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  
    • Why  is  data  management      a  hot  topic?  From  Flickr  by  Velo  Steve  
    • Back in the day…Da  Vinci  Curie  Newton  classicalschool.blogspot.com  Darwin  
    • 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  
    • Digital  data  +    Complex  workflows  
    • THETRUTHData  management?  Metadata?  Data  repositories?  Share  data  publicly?  Why  share  data?  From  sandierpastures.com  ABOUTRESEARCHERS
    • 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?  
    • 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  
    • FromFlickrbythewmatt
    • DMPTool  Project  Started  working  in  January  2011  Developed  requirements,  divided  work    Self-­‐funded  /  In-­‐kind      
    • http://dmptool.org  
    • DMPTool  Uptake  01002003004005006007008000100020003000400050006000NumberofInstitutionsNumberofPlans(solid)&UniqueUsers(dashed)Unique UsersPlansInstitutions73652114519
    • 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    
    • 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”  
    • DOI:    10.1890/1540-­‐9295-­‐10.2.59    Resolver   Website  with  “object”  
    • •  Non-­‐profit  international  organization  •  International  DOI  Foundation  Member  •  Goals:  enable  access  to  research;  promote  data  as  important  outputs;  support  data  archiving  
    •  ARKs  DOIs  IDF  EZID  CLIENTS  DOIs  DOIs  Where  are  these  identifiers  from?  
    • EZID  CLIENTS  
    • 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  $$$   $  
    • http://n2t.net/ezid  
    • 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  
    • Intercept  researchers  where  they  already  work  
    • Facilitate  Archiving  Sharing  Publishing  Data  management  &  organization  Data  Reuse  &  Reproducibility  
    • What  the  tool  should  do:    Best  practices  check  Generate  metadata  (EML)  Get  identifier  +  citation  Post  data  to  repository    From  Flickr  by  dipster1  
    • Data  Repository  for  Anyone  |  Anywhere  
    • http://dataup.org  
    • •  New  language  •  Focus  on  web  app  •  Emphasize  Best  Practices  Check  •  Leverage  existing  tools  •  Enable  Customization  From  animationresources.org  
    • dataup.cdlib.org  @DataUpCDL  facebook.com/DataUpCDL  bitbucket.org/dataup/main  Website  Twitter  feed  Facebook  Code  site  
    • cdlib.org/services/uc3  n2t.net/ezid  dataup.cdlib.org  dmptool.org  
    • My  website  Email  me  Tweet  me  My  slides  CDL  Blog  carlystrasser.net  carlystrasser@gmail.com  @carlystrasser    slideshare.net/carlystrasser  datapub.cdlib.org