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Training in Data Curation as Service in a Federated Data Infrastructure - the FrontOffice-BackOffice Model

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Training in Data Curation as Service in a Federated Data Infrastructure - the FrontOffice-BackOffice Model

  1. 1. Training in Data Curation as Service in a Federated Data Infrastructure - the FrontOffice-BackOffice Model Ingrid Dillo, Rene van Horik, and Andrea Scharnhorst
  2. 2. Outline • The current institutional landscape of digital archives • DANS – history • DANS – services • DANS – current activities – some examples • Workflows – Alliances – Organograms • Competence keeping and responsibility sharing • Front Office – Back Office model • The element of professional education • Outlook - questions
  3. 3. What is DANS? Institute of The Royal Netherlands Academy and the Research Funding Organisation (KNAW & NWO) since 2005 First predecessor dates back to 1964 (Steinmetz Foundation), Hist orical Data Archive 1989 Mission: promote and provide permanent access to digital research information Strategic plan 2011-2015 used to be: data for the social sciences and humanities
  4. 4. EASY: Electronic Archiving System for self-deposit
  5. 5. Looking into EASY http://arxiv.org/abs/1204.3200
  6. 6. Today: 754,193 Publications 53,364 E-theses 27,526 Data sets 57,227 Research 49,510 People 2,922 Organisations 1,733 Enhanced Publications
  7. 7. Looking into NARCIS https://www.researchgate.net/publication/236271460_ NARCIS_Network_of_Expertise_and_Knowledge?ev=prf _pub
  8. 8. eResearch: DANS Lab Exploring the Long Term Availability of Research Data DANS eResearch Programme 2012- 2015 Andrea Scharnhorst, Peter Doorn, René van Horik, Dirk Roorda, Frank van der Most, Leen Breure, Albert Meroño Peñuela, Ashkan Askpour, Christophe Guéret, Marat Charlaganov, Cristian Dinu Katy Börner, Herbert van de Sompel and Andrew Treloar (all visiting fellows)
  9. 9. The archivist as consultant • Data seal for approval • DARIAH • International and national projects: EHRI, DwB, DASHISH, Ariadne, APARSEN, NEDIMAH, CLIO Infra
  10. 10. DANS = DATA ACHIVING AND NETWORKED SERVICES Science and Technology dimension: R&D Information service provider for research: Data acquisition + curation Advisor for science policy stakeholders And we are not the only one !
  11. 11. Organograms – Schemata I OAIS
  12. 12. Organograms – Schemata II Riding the Wave
  13. 13. E-Science/E-Humanities Research Gov’t. agencies Private sector University Libraries / data facilities Research Infrastructures NWO Domains Acquisition, services, support, training, consultation Data curation, management, archiving Systems and infrastructure SURF/SARA: Storage Cloud/Grid, processing, backup facilities Research Gov’t. agencies Private sector Front office Back office E-Research Data Providers Data Users The collaborative data infrastructure – a framework for the future
  14. 14. Front office – Back office
  15. 15. Front office – Back office National, multi- disciplinary opertaing information service providers University libraries, ministries (some), RIS (sometimes), research institutes
  16. 16. Front office – Back office
  17. 17. DataIntelligence4Librarians
  18. 18. Conclusions - Questions • Books on Digital Preservation / Data Sharing – is this enough? • Do we need shared syllabuses? Audience? • Who trains whom? Libraries – digital literacy, Librarians as Data Stewards • Where lies the institutional responsibility for research data archiving – expriences from in other countries? • Research about data sharing and institutional consequences – RECODE – see keynote Borgman – community specific – selection policies and layered archiving • How can we keep professionalism and organize labor division at the same time? • Lessons from the past: guidelines/standards pre internet/digital? • Look at other network infrastructures – transport/energy/....
  19. 19. www.dans.knaw.nl www.narcis.nl Preprint: http://arxiv.org/ab s/1309.2788

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