1. Repositories for research information management Wolfram Horstmann CERIF-CRIS and Repositories, Brussels, 12/13-oct-2011

2. The challenge Collaboration of researchers, administration & librarians! http://mhpbooks.com/mobylives/?p=33681

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][>> Text]

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. 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. 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. 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. 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. ‚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. A CRIS AVEDAS AG, CONVERIS SYSTEM

11. An OAR ePrints Southhampton

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. Research Data & Enhanced Publications http://www.ukpmc.co.uk

14. Semantic Web Approaches OpenAIRE and KE CRIS-OAR Interoperability Project

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. 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. 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. 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. 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. And yes… …CERIF will be the common demoninator

21. Thanks!