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Common Lab Research Infrastructure for the Arts and Humanities
CLARIAH
2013 Proposal
Jan Odijk
Trippenhuis, Amsterdam 2013-09-11
2
Overview
• What
• Why
• Focus
• Governance
• Main Activities + Budget
• Applicants
• Centres
• Sustainability
• Schedule
• Support
3
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
What II
• Virtual and distributed
• Based on one or more centres per country
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
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
Focus
• 3 humanities disciplines
– Language studies
– Media studies
– Socio-economic history
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
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
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
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
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
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
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
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
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
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
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
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
Support II
23
Support CLARIAH again!
Follow the good example of
24
Thanks for your Attention!
25
www.clariah.nl
26
CLARIAH: Industrial Interest
27

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

  • 1. Common Lab Research Infrastructure for the Arts and Humanities CLARIAH 2013 Proposal Jan Odijk Trippenhuis, Amsterdam 2013-09-11
  • 2. 2
  • 3. Overview • What • Why • Focus • Governance • Main Activities + Budget • Applicants • Centres • Sustainability • Schedule • Support 3
  • 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. What II • Virtual and distributed • Based on one or more centres per country 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. 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. Focus • 3 humanities disciplines – Language studies – Media studies – Socio-economic history 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. Support II 23 Support CLARIAH again! Follow the good example of
  • 22. 24
  • 23. Thanks for your Attention! 25 www.clariah.nl
  • 24. 26