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Clariah meeting 2013 09-11 odijk 2013-09-11

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Presntatie van Jan Odijk over de CLARIAH 2013 aanvraag

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Clariah meeting 2013 09-11 odijk 2013-09-11

  1. 1. Common Lab Research Infrastructure for the Arts and Humanities CLARIAH 2013 Proposal Jan Odijk Trippenhuis, Amsterdam 2013-09-11
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  3. 3. Overview • What • Why • Focus • Governance • Main Activities + Budget • Applicants • Centres • Sustainability • Schedule • Support 3
  4. 4. What I • NL part of the CLARIN + DARIAH infrastructures • A research infrastructure in which a humanities researcher – Can find all data relevant for the research – Can find all tools relevant for the research – Can apply the tools to the data without any technical background or ad-hoc adaptations • intelligent search in and through the data • Information extraction, analysis, aggregation, visualisation, validation, conversion, enrichment, annotation, … – Can store data resulting from the research – Can store tools resulting from the research 5
  5. 5. What II • Virtual and distributed • Based on one or more centres per country 6
  6. 6. Why I • Enormous increase of available data • Data are ‘rich’ – complex, fuzzy, ambiguous, heterogeneous, have a time dimension • Data are digital – (Advanced) digital tools can be used to support humanities research – they must be used to cope with the quantity 7
  7. 7. Why II •  big opportunity to bring humanities research to a new level – Empirical basis increased by orders of magnitude – Information hidden in these data can be disclosed and analysed – Will enable new research questions – Existing research questions can be addressed in new ways – Quality, effectiveness and efficiency increase – potential for ground-breaking research 8
  8. 8. Focus • 3 humanities disciplines – Language studies – Media studies – Socio-economic history 9
  9. 9. Focus • Why these 3? – Language studies core of CLARIN – Socio-economic studies core of DARIAH – All are forerunners in the use of digital data and tools – Their dominant data types cover the whole spectrum: • Language studies: text • Media studies: audio-visual data • Socio-economic history: structured data 10
  10. 10. Focus • Media studies: – text as carrier of cultural content / information v. – as object of inquiry in language studies – also an important aspect of CLARIN – crucial for other humanities disciplines • Cross-fertilization – NLP techniques enable extraction of information from texts for storage in structured databases (e.g. socio-economic data) – Speech recognition + image recognition enable advanced indexing of audio-visual material • Solid foundation for future extension to other disciplines 11
  11. 11. Focus • For each discipline a core team 13 Language studies Media Studies Socio-economic history Researcher Sjef Barbiers (Meertens / UU) José van Dijck / Julia Noordegraaf (UvA) Jan Luiten van Zanden (UU) ICT researcher Antal van den Bosch (RUN) Maarten de Rijke / Cees Snoek (UvA) Frank van Harmelen (VU) Data Centre The Language Archive (MPI+) NISV IISH
  12. 12. Governance • Main features – Based on CLARIN-NL governance – Consortium will be formed + consortium agreement – Executive Board ‘lean and mean’ team • General, technical aspects, user aspects, dissemination, outreach, education, training – Overview Board (Raad van Toezicht) – National Advisory Panel – International Advisory Panel 14
  13. 13. Main Activities • Technical Implementation including (continuation of) Centre set-up • Interoperability: concrete implementations to realize and test interoperability – Formal and semantic interoperability – Metadata, data, and software – Linking publications to resources (enhanced publications) – Compatible with CLARIN and DARIAH • Intelligent Search: concrete implementations of searching for, in and through data • Enrichment/annotation, information extraction, analysis, aggregation and visualisation software 15
  14. 14. Main Activities • Data Curation • Software Curation + demonstrators • Research Pilots: test in a small research project whether CLARIAH-functionality indeed supports the research • Education & Training • Dissemination & Outreach • Management • EU-oriented activities – E.g. cooperation projects with other countries • Budget: app. 18 m€ (but still has to be finalized) 16
  15. 15. Applicants • Small number – Required by template – Recommended by experts • 2011 ‘penvoerder’ was UU, now KNAW institute • Applicants: – KNAW institute: Lex Heerma van Voss – Intended director: Jan Odijk – 3 Humanities researchers • Sjef Barbiers • José van Dijck • Jan Luiten van Zanden • Others involved sign “Letter of Intent” to participate in CLARIAH and become consortium member 17
  16. 16. Centres • The Language Archive (TLA, MPI+) • Netherlands Institute for Sound and Vision (NISV) • International Institute for Social History (IISH) • Data Archiving and Networked Services (DANS) • Huygens Institute • Institute for Dutch Lexicology (INL) • Meertens Institute • National Library (KB) • University Libraries • … 18
  17. 17. Sustainability • What after the CLARIAH project? – Centres provide data / services independently of CLARIAH (before, during and after) – Concrete commitment by KNAW of 0.5M euro / year for 5 years after CLARIAH to maintain the infrastructure – We have to organize ourselves to be able to run the services as efficiently as possible – For software sustainability close collaboration with NL eScience Centre, cf. recent start of ‘Alliance for Software Sustainability’ (DANS and NL eScience initiative) 19
  18. 18. Date Action 1 Oct 2013 Submission Deadline Oct-Dec 2013 Consultation of referents; rebuttal submitters; recommendations NWO- gebiedsbesturen. Jan 2014 First Meeting committee Mar/Apr 2014 Site visits Second Meeting Committee Begin May 2014 Committee Recommendation to NWO AB End May 2014 NWO AB Decision End May/Begin June 2014 AB decision to Minister Mid 2014 Minister informs Tweede Kamer; NWO informs submitters Jan 1, 2015 (if awarded) Start of CLARIAH Schedule 20
  19. 19. Support I • Support by public and private organisations – Many of the data and technologies used in CLARIAH are directly relevant for public organisations and companies, e.g. • Intelligent information extraction from a heterogeneous set of ‘rich’ data • Either as a customer or as a developer of such technology 21
  20. 20. Support II – Close involvement of IBM from the start – Support by many public institutes and companies • Both for: –CLARIN-NL and the –2011 CLARIAH proposal 22
  21. 21. Support II 23 Support CLARIAH again! Follow the good example of
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  23. 23. Thanks for your Attention! 25 www.clariah.nl
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  25. 25. CLARIAH: Industrial Interest 27

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