Horstmann repositories for_research_information_management

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Horstmann repositories for_research_information_management

  1. 1. Repositories  for  research  information  management     Wolfram  Horstmann   CERIF-­‐CRIS  and  Repositories,  Brussels,  12/13-­‐oct-­‐2011  
  2. 2. The  challenge   http://mhpbooks.com/mobylives/?p=33681    Collaboration  of  researchers,  administration  &  librarians!  
  3. 3. Why  CRIS  &  OA-­‐Repositories?     “Given    their    affinity,    achieving    interoperability    between    CRIS     and    OAR    is    desirable    and    will  benefit    all    parties    involved,     including    the    researchers.    A    joint    approach    will    avoid     double    input    and    management    of    redundant    data    as    well     as    redundant    services    and    processes    and    will    both   enhance  the  efficiency  and  quality  (mutual  enrichment)  of   the  services  offered  by  CRIS  and  OAR  to  their  users.”      January  2007:  Knowledge  Exchange  DEFF,  DFG,  JISC,  SURF  Exchanging  Research  Information  -­‐-­‐  Razum,  Simons  &  Horstmann  [>>  Text]  
  4. 4. The  Task  •  There  is  still  an  assumed  competition   between  CRIS  and  OARs  and  many  other  institutional   systems  •  CRIS  and  OARs  should  join  forces  to   deliver  the  best  possible  services  •  An  account  of  „Who  does  what  and  how?“   should  be  developed  
  5. 5. Delineation:  Characteristics  •  Current  Research  Information  Systems  CRIS   –  administrative,  sensitive,  comprehensive,   integrative,  local,  analytic  |  administrators  •  Open  Access  Repositories  OAR   –  public,  file-­‐centric,  rights,  preservation,  globally   distributed  paradigm  |  librarians  •  Bibliography  Management  System  BMS   –  CV  oriented,  complete,  representative  |   researchers  
  6. 6. Delineation:  Commonalities  •  Bibliographic  Information   –  Title,  Source,  Subject,  Keywords,  Rights,   Authorship…  •  Affiliation   –  Author  Identity,  Institute,  Organisational  Unit,   Research  Group,  Time  Frame…  •  Project  Information  “short-­‐term  affiliation“   –  Time  Frame,  Funder,  Participants,  Budgets…  
  7. 7. Delineation:  Differences  •  CRIS  more  local,  while  OARs  distributed  •  CRIS:  Financial  information   –  Budgets  of  projects,  staff  •  CRIS:  Staff  information   –  Employment  details,  costs  •  OAR:  Full-­‐Text  Management   –  Access  Rights,  Identifiers,  Preservation,   Compound  Objects  /  Research  Data  …  
  8. 8. System  Habitat  •  CRIS  and  OAR  potentially   –  Financial  System   –  Human  Resource  Management   –  Facility  Management  System   –  Campus  Management  System   –  Bibliographic  Databases     •  WoS,  Scopus,  ArXiV,  PMC,  IRs/BASE   –  Authoritative  Data  Resources  /Disambiguation   •  Vocabularies,  Ontologies,  ORCID/AuthorClaim  •  Massive  common  interoperability  requirements  
  9. 9. ‚Species‘  •  CRIS  proper   –  CERIF-­‐centric:  self  or  METIS,  PURE,  CONVERIS   –  Integrating  with  institutional  HRM,  project  &   financial  systems  •  OAR  proper   –  DCES  ,  MODS  etc  |  DSPACE,  E-­‐Prints,  Fedora  •  BMS  intermediates   –  Proprietary,  MODS:  DSPACE,  E-­‐Prints,  Invenio,   LUP,  etc.  •  Aggregative  Approaches   –  Sharing  and  re-­‐using  resources  
  10. 10. A  CRIS  AVEDAS  AG,  CONVERIS  SYSTEM  
  11. 11. An  OAR  ePrints  Southhampton  
  12. 12. Further  Trends  in  OARs  •  Extension  towards  BMS  /  Reporting   –  Demand  for  authoritative  resources  increases   –  Usage  of  vocabularies,  ontologies,  e.g.  SPAR   –  Usage  of  web  services,  linked  data   –  Personal    displays,  CV-­‐Systems    •  Extension  towards  Research  Data   –  Demand  for  collaboration  with  researchers   incresases  •  Repositories  as  embedded  systems   –  local  and  global  integration  
  13. 13. Research  Data  &  Enhanced   Publications                http://www.ukpmc.co.uk    
  14. 14. Semantic  Web  Approaches   OpenAIRE  and  KE  CRIS-­‐OAR  Interoperability  Project  
  15. 15. Interim  Conclusion  •  Neither  CRIS  nor  OARs  are  autonomous   –  Rather  open,  interrelated  data  mgmt.  systems  •  Any  individual  solution  will  be  different   –  Depending  on  the  local  system  habitat  •  Systems  level  not  the  correct  approach?   –  Rather  consider  human  curation   responsibilities  
  16. 16. Curation  processes  •  Persons   –  e.g.  Human  resource  office,  IT  department  (IDM)  •  Finance   –  e.g.  Finance  office  •  Units   –  e.g.  Facility/Campus  Management  •  Projects     –  e.g.  Research  office,  Researchers  •  Bibliographic  Information   –  e.g.  Library,  Researchers  
  17. 17. The  curation  view  on  CRIS  &  OARs  •  Treatment  of  systems  as  curation  tools   maintained  by  specialists   –  Research  project  manager,  financial  officer,  staff   manager,  bibliography  specialist,  data  librarian,   web  content  manager,  identity  manager,  analyst  •  No  requirement  to  build  integrated  IT-­‐ ‚columns‘   –  Rather  distributed  systems  view   –  Reporting  as  distributed  queries  with  display   –  Data  model  may  differ  in  systems,  while  entities,   properties  and  vocabularies  are  aligned  to   interoperate  on  the  aggregation/reporting  level  
  18. 18. Conclusion  •  Convergence  between  CRIS  and  OAR     –  both  head  towards  aggregative  systems   –  OARs  become  ‚sensitive‘  e.g.  Bibliometrics,  Research  Data   –  CRIS  become  public  e.g.  CV  displays,  full-­‐text  •  Differences  there  to  stay   –  Administrators  as  end-­‐users  for  CRIS   –  Open  Access  as  committment  for  OARs  •  Research  Information  Repository  /   ‚CRISpository‘  already  a  reality  
  19. 19. Recommendations  •  Put  the  researcher  in  the  centre   –  CRIS  &  OARs  have  joint  responsibility  to  serve   research     –  Even  assessment  exercises  will  only  be  accepted  if  the   researchers  agree  on  the  approach  taken   –  Researchers  are  not  interested  in  technicalities  •  Regard  CRIS  and  OARs  as  assemblies  of  specialized   data  curation  activities     –  Everybody  should  keep  on  doing  what  he/she  can  do  best   –  Systems  and  formats  are  slave  to  curation  requirements   –  Inter-­‐departmental  collaboration  is  the  clue  (and  main   challenge)   –  Codex:  Nobody  will  take  away  responsibility  of  the  other  
  20. 20. And  yes…  …CERIF  will  be  the  common  demoninator  
  21. 21. Thanks!  

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