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

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Presentation on theme: "1IASSIST 2009, Tampere Maarten Hoogerwerf Pitfalls of Enhanced Publications."— Presentation transcript:

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

2 Researchers are discovering the enormous potential of the Internet and want to use it to enhance their publications with additional resources such as research data or visualizations. There are currently many ways to construct such 'enhanced publications', but there remain many difficulties that need to be solved before these enhanced publications can be safely implemented on a large scale. DANS, in cooperation with partners from the SURFshare programme, has built a demonstrator of enhanced publications. The demonstrator gives examples of enhanced publications from different scientific disciplines and shows how OAI-ORE can aggregate the different resources of an enhanced publication and how these aggregations can be transformed into user friendly web pages that allow researchers to view- and navigate between them. The goal of this demonstrator is twofold: triggering the researcher to think about their actual needs by showing them what is possible and making repository managers aware of the difficulties that have to be dealt with before enhanced publications can become a common way of publishing. This paper will give an overview of these difficulties. 2Maarten Hoogerwerf African Digital Scholarship and Curation 2009

3 3IASSIST 2009, Tampere Maarten Hoogerwerf Introduction DANS - Data Archiving and Networked Services – NWO and KNAW DRIVER II – Infrastructure with content from 70 European Open Access repositories

4 4IASSIST 2009, Tampere Maarten Hoogerwerf A picture is worth a thousand words…

5 …a dataset even more! Support author – explain Support reader – understand – verify (or falsify) – reuse – discover 5IASSIST 2009, Tampere Maarten Hoogerwerf

6 6IASSIST 2009, Tampere Maarten Hoogerwerf Enhanced Publications Publications combined with research data, visualizations, etc. – Relate publication and data – Link from within publication to data – Integrate data into the publication

7 7IASSIST 2009, Tampere Maarten Hoogerwerf Demonstrator - Goals Suggest the perfect solution Trigger researchers Trigger repository community

8 8IASSIST 2009, Tampere Maarten Hoogerwerf Approach Collect publication, data and metadata – define and identify aggregations of (web) resources using OAI-ORE

9 9IASSIST 2009, Tampere Maarten Hoogerwerf Approach … in a durable way – using persistent identifiers, digital author identifiers, ontologies, etc.

10 10IASSIST 2009, Tampere Maarten Hoogerwerf Approach … in an exchangeable format – describe aggregations as triple-relations using RDF

11 11Maarten Hoogerwerf African Digital Scholarship and Curation 2009 Approach …visualize in browser – translate RDF to HTML using XSLT

12 12IASSIST 2009, Tampere Maarten Hoogerwerf Demonstration http://driver2.dans.knaw.nl

13 13IASSIST 2009, Tampere Maarten Hoogerwerf 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 …

14 14IASSIST 2009, Tampere Maarten Hoogerwerf Future DRIVER II midterm review: very positive – Promote results SURFshare tender projects – DatapluS – JALC – Veteran Tapes VP – …

15 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 15Maarten Hoogerwerf African Digital Scholarship and Curation 2009

16 16IASSIST 2009, Tampere Maarten Hoogerwerf Questions? FAQ: Is the demonstrator online? – Yes, http://driver2.dans.knaw.nlhttp://driver2.dans.knaw.nl


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