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Pitfalls of Enhanced Publications

Pitfalls of Enhanced Publications. Introduction. DANS - Data Archiving and Networked Services NWO and KNAW DRIVER II Infrastructure with content from 70 European Open Access repositories. A picture is worth a thousand words…. …a dataset even more!. Support author explain Support reader

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Pitfalls of Enhanced Publications

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  1. Pitfalls of Enhanced Publications IASSIST 2009, Tampere Maarten Hoogerwerf

  2. Introduction • DANS - Data Archiving and Networked Services • NWO and KNAW • DRIVER II • Infrastructure with content from 70 European Open Access repositories IASSIST 2009, Tampere Maarten Hoogerwerf

  3. A picture is worth a thousand words… IASSIST 2009, Tampere Maarten Hoogerwerf

  4. …a dataset even more! • Support author • explain • Support reader • understand • verify (or falsify) • reuse • discover IASSIST 2009, Tampere Maarten Hoogerwerf

  5. Enhanced Publications • Publications combined with research data, visualizations, etc. • Relate publication and data • Link from within publication to data • Integrate data into the publication IASSIST 2009, Tampere Maarten Hoogerwerf

  6. Demonstrator - Goals • Suggest the perfect solution • Trigger researchers • Trigger repository community IASSIST 2009, Tampere Maarten Hoogerwerf

  7. Approach • Collect publication, data and metadata • define and identify aggregations of (web) resources using OAI-ORE IASSIST 2009, Tampere Maarten Hoogerwerf

  8. Approach • … in a durable way • using persistent identifiers, digital author identifiers, ontologies, etc. IASSIST 2009, Tampere Maarten Hoogerwerf

  9. Approach • … in an exchangeable format • describe aggregations as triple-relations using RDF IASSIST 2009, Tampere Maarten Hoogerwerf

  10. Approach • …visualize in browser • translate RDF to HTML using XSLT Maarten Hoogerwerf African Digital Scholarship and Curation 2009

  11. Demonstration http://driver2.dans.knaw.nl IASSIST 2009, Tampere Maarten Hoogerwerf

  12. Challenges • Contents • Static, Granularity, Quality • Presentation • Standardized and generic or custom-made • (Persistent) Identification • Granularity, level of persistence • Long Term Preservation • Who? • Creation • The need for tools • … IASSIST 2009, Tampere Maarten Hoogerwerf

  13. Future • DRIVER II midterm review: very positive • Promote results • SURFshare tender projects • DatapluS • JALC • Veteran Tapes VP • … IASSIST 2009, Tampere Maarten Hoogerwerf

  14. DatapluS • Enriching publications with study- and variable information from EVS and NKO • Create ‘banks’ with DDI3 studies and variables • Create an editor to browse, retrieve and link to these items • Publish result as DDI3 Maarten Hoogerwerf African Digital Scholarship and Curation 2009

  15. Questions? FAQ: • Is the demonstrator online? • Yes,http://driver2.dans.knaw.nl IASSIST 2009, Tampere Maarten Hoogerwerf

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