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The universe of identifiers and how ANDS is using them


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Presentation on identifiers in general, and ANDS' approach to identifiers for objects and people in particular. Given at ODIP 3rd Workshop on August 7, 2014.

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The universe of identifiers and how ANDS is using them

  1. 1. ANDS  and  Iden+fiers:   ODIP  Workshop,   AIMS,  7/8/2014   Dr  Andrew  Treloar,  Director  of   Technology   1  CC-­‐BY  @atreloar  
  2. 2. ANDS  Overview   §  In  existence  since  2009   §  Currently  c.  40  staff  around  Australia  (mostly   Melbourne  and  Canberra)   §  Scope:  Research  data  (data  that  researchers   produce  and  use)   §  Provides  training,  advocacy,  services,  policy   support   §  No  real  equivalent  in  other  countries   CC-­‐BY  @atreloar   2  
  3. 3. ANDS  enables  these  transforma+ons:   From  data  that  are:   " Uncollected   " Unmanaged   " Disconnected   " Invisible   " Single  use   To  aggrega+ons  that  are:   " Collected   " Managed   " Connected   " Findable   " Reusable   so  that  Australian  researchers  can  easily  publish,   discover,  access  and  use/re-­‐use  research  data.     CC-­‐BY  @atreloar   3  
  4. 4. ANDS  online  services   §  Research  Data  Australia   §  Cite  my  Data  DOI  Iden+fier  service   §  Vocab  crea+on/management  service  +  API   §  Research  Ac+vity  iden+fier  service  +  API   §  Developer  toolbox   4  
  5. 5. Why  have  persistent  object  iden+fiers?   §  <conten+ous>Cool  URIs  can  in  theory  be  persistent,   but  in  prac+ce  they  are  suscep+ble  to  changes  to:   §  filename   §  path   §  domain  </conten+ous>   §  PIDs  can  best  be  seen  as  an  indirec'on  layer  that   reduces  bri0leness  in  gecng  to  digital  objects   §  But,  PIDs  are  not  magic  pixie  dust;  assigning  a  PID   does  not  make  the  object  persistent!   CC-­‐BY  @atreloar   6  
  6. 6. CC-­‐BY  @atreloar   7  
  7. 7. Some  thoughts  on  Persistence:  Is  it   §  Persistence  of  object?   §  Or  mechanism  to  handle  its  non-­‐persistence   §  Persistence  of  iden+fier?   §  Persistence  of  binding  between  iden+fier  and  object?   §  Persistence  of  service  to  resolve  from  iden+fier  to   object?   §  Persistence  of  service  to  allow  for  upda+ng  of  binding   between  iden+fier  and  object?   7/08/2014   CC-­‐BY  @atreloar   8  
  8. 8. ANDS:  Object  iden+fiers   §  Started  out  providing  Handles  service   §  Founda+on  members  of  DataCite   §  DOI  Business  model  updated  =>  DOI  more   airac+ve   §  Now  Australian  DataCite  registrar   §  min+ng  over  2K/month   §  M2M  interface  only   §  Management  responsibility  lies  with  data  holders   7/08/2014   CC-­‐BY  @atreloar   9  
  9. 9. 10  
  10. 10. ANDS:  Person/Organisa+on  iden+fiers   §  Space  is  complex:  ORCID,  VIAF,  ISNI   §  Ini+ally,  worked  with  NLA  Trove  ID   §  hip://­‐513559   §  But  “market  momentum”  appears  to  be  moving   towards  ORCID   §  ANDS  co-­‐hosted  very  successful  ORCID  Roundtable   with  CAUL  last  month   §  Also  member  of  ORCID  Datacite  Interoperability   Network  project   7/08/2014   CC-­‐BY  @atreloar   11  
  11. 11. ANDS  approach  to  Data  Publishing   §  Publishing  =  making  public   §  Collected  –  inten+onally  group  together  data  that  will   be  most  useful  in  re-­‐use  context   §  Managed  –  store  in  sustainable  loca+on   §  Connected  –  ensure  data  is  connected  to  context  that   produced  it   §  Findable  –  register  existence  of  data  somewhere  that   enables  its  discovery   §  Reusable  –  ensure  data  comes  with/is  connected  to   enough  informa+on  for  someone  else  to  reuse   7/08/2014   CC-­‐BY  @atreloar   12  
  12. 12. Ques+ons?   §   §   §  @atreloar   13  CC-­‐BY  @atreloar  
  13. 13. Key  differen+ators  for  ANDS   §  Na+onally  co-­‐ordinated  approach   §  Ins+tu+onally-­‐focussed  engagement   §  “helping  them  meet  their  research  data  ambi+ons”   §  Engaging  with  large  na+onally-­‐funded  discipline   investments   §  Bulk  of  funds  spent  outside  ANDS   §  All  disciplines  covered   §  Focus  on  adding  value  to  data  and  re-­‐use   14  
  14. 14. Major  programs  undertaken  (200+  projects)   §  Seeding  the  Commons  (fixing  the  past)   §  Data  Capture  (fixing  the  future)   §  Metadata  Stores  (managing  ins+tu+onal  research   data  assets)   §  Applica+ons  (demonstra+ng  value  of  joining  data)   §  Major  Open  Data  Collec+ons  (content  focus)   §  eResearch  Infrastructure  Connec+vity  (connec+on   focus)   CC-­‐BY  @atreloar   15