CLARIN ERIC Franciska de Jong Oxford 18-19 April 2016

Slides:



Advertisements
Similar presentations
Smart Qualitative Data: Methods and Community Tools for Data Mark-Up SQUAD Libby Bishop Online Qualitative Data Resources: Best Practice in Metadata Creation.
Advertisements

QUADS Co-ordination Louise Corti QUADS Director, UKDA 28 September 2006.
1 e-Science for the arts and humanities Sheila Anderson Arts and Humanities Data Service Kings College London.
DELOS Highlights COSTANTINO THANOS ITALIAN NATIONAL RESEARCH COUNCIL.
Distributed search for complex heterogeneous media Werner Bailer, José-Manuel López-Cobo, Guillermo Álvaro, Georg Thallinger Search Computing Workshop.
Computational Paradigms in the Humanities – eHumanities and their role and impact in transdisciplinary research Gerhard Budin University of Vienna.
Digital Collections: Use, Value and Impact Lorna Hughes University of Wales Chair in Digital Collections, National Library of Wales Aberystwth University.
Nordic CLARIN Network 1. What have we seen and heard? A lot of different tools Corpus tools – 3 different tools Annotation tools (automatic and manual)
Steven KrauwerCLARIN-NL Launch CLARIN-EU: Where do we stand? Steven Krauwer Utrecht institute of Linguistics UiL OTS CLARIN-EU Coordinator.
CLARIN: Common Language Resources and Technology Infrastructure for the Social Sciences and Humanities Steven Krauwer Utrecht institute of Linguistics.
History, Theory, and Philosophy of Science (In SMAC + RT) 7th smester -Fall 2005 Institute of Media Technology and Engineering Science Aalborg University.
MALACH Multilingual Access to Large spoken ArCHives Survivors of the Shoah Visual History Foundation Human Language Technologies IBM T. J. Watson Research.
VidArch Preserving Video Objects and Context: A Demonstration Project Helen R. Tibbo School of Information and Library Science University of North Carolina.
VidArch Preserving Video Objects and Context: A Demonstration Project Helen R. Tibbo School of Information and Library Science University of North Carolina.
Faculty Instructional Support Moving beyond putting courses online to curriculum redesign Leila Lyons, University of Delaware.
© 2004 University of Rochester LibrariesSlide 1 Enhancing DSpace Based on a Work-Practice Study DSpace Federation User Group Meeting March 10, 2004 Dave.
Digital Pathways: Digital humanities and the interface between scholarly community and libraries Lorna Hughes University of Wales Chair in Digital Collections,
CLARIN for Linguists Introduction Jan Odijk LOT Summerschool Nijmegen,
Creating Access to Europe’s Television Heritage Prof. Dr. Sonja de Leeuw (project-coordinator, Utrecht University) Johan Oomen MA (technical director,
Exploring Europe's Television Heritage in Changing Contexts Connected to: Funded by the European Commission within the eContentplus programme
CLARIN ERIC Progress according to the Strategy Plan Steven Krauwer, Bente Maegaard 1.
The role of Parthenos for CLARIN ERIC Steven Krauwer CLARIN ERIC Executive Director 1.
Institutional Outcomes and their Implications for Student Learning by John C. Savagian History Department Alverno C O L L E G E.
Linguistics with CLARIN Introduction Jan Odijk LOT Winterschool Amsterdam,
1 CLARIN - NL Language Resources and Technology Infrastructure for the Humanities and the Social Sciences in the Netherlands.
DASISH Final Conference Common Solutions to Common Problems.
2014 CLARIN Annual Conference Jan Odijk, Chair 2014 CAC Program Committee.
Breakout # 1 – Data Collecting and Making It Available Data definition “ Any information that [environmental] researchers need to accomplish their tasks”
1 CLARIN - NL What is going on? Jan Odijk Amsterdam 26 Aug 2010.
General remarks about the conference SK Soesterberg1Friday Oct
1 e-Arts and Humanities Scoping an e-Science Agenda Sheila Anderson Arts and Humanities Data Service Arts and Humanities e-Science Support Centre King’s.
DELOS Network of Excellence on Digital Libraries Yannis Ioannidis University of Athens, Hellas Digital Libraries: Future Research Directions for a European.
Video Active and the European Digital Library EDL International Conference Frankfurt am Main, 31/1-1/ Sonja de Leeuw.
ELAN as a tool for oral history CLARIN Oral History Workshop Oxford Sebastian Drude CLARIN ERIC 18 April 2016.
CLARIN EUDAT2020 uptake plan Dieter Van Uytvanck CLARIN ERIC EUDAT User Forum, Rome.
Genoa – May 23, 2006 LREC workshop From Media Crossing to Media Mining Franciska de Jong University of Twente/TNO ICT
Speech data in Swedish national archives and government agencies Jens Edlund, KTH Royal Institute of Technology Dept. of Speech, Music and Hearing.
EUDAT receives funding from the European Union's Horizon 2020 programme - DG CONNECT e-Infrastructures. Contract No Herbadrop.
EUDAT receives funding from the European Union's Horizon 2020 programme - DG CONNECT e-Infrastructures. Contract No Enriching Europeana.
Faculty Instructional Support Moving beyond putting courses online to curriculum redesign.
Why Invest in Humanities Research Infrastructure? Dr Jennifer Edmond Trinity College Dublin Co-Head, DARIAH VCC-2.
Advanced Placement Programming
From CLEF to TrebleCLEF Promoting Technology Transfer
The Interpersonal Mode
Module V Creating awareness on validation of the acquired competences
prospects for Community Memory
ICT PSP 2011, 5th call, Pilot Type B, Objective: 2.4 eLearning
Conference Statistics
What do Researchers and Research Infrastructures need from e-Infrastructures Franciska de Jong executive director CLARIN ERIC DI4R.
‘Moving Image and the Academy’
DARIAH conference Public Humanities Workshop 23rd and 24th of May 2017, Trinity Long Room Hub, Arts and Humanities Research Institute Dr. Jennifer Edmond,
Martin Müller InRoad Coordinator InRoad
DATA SPHINX & EUDAT Collaboration
Darja Fišer DARIAH UZH Zurich, 18 December 2017
Working Party “Cooperation on Land Cover/Use Statistics”
Hydra: a case study Chris Awre
Scientific Data as Research Infrastructure
DRIVER Digital Repository Infrastructure Vision for European Research
Darja Fišer CLARIN ERIC Director of User Involvement
NSDL Data Repository (NDR)
CLARIN ERIC and the science cloud
Common Solutions to Common Problems
ETS Working Group meeting 24-25/9/2007 Agenda point 7 CVTS3 brief update /09/ 2007 ETS working group.
Global Literary Networks
Web archives as a research subject
Martin Lhoták Library of the Czech Academy of Sciences
Income distribution: flash estimates 2016 (FE) Item 3.6 of the agenda
STEM Education Policies and Practices in Europe
WP3 – Current and Future Data Collection Systems in the ESS
Project objectives and benefits
Presentation transcript:

CLARIN ERIC Franciska de Jong Oxford April

CLARIN ERIC Franciska de Jong Oxford April

CLARIN in four bullets CLARIN is the Common Language Resources and Technology Infrastructure that provides easy and sustainable access for scholars in the humanities and social sciences to digital language data (in written, spoken, video or multimodal form), and advanced tools to discover, explore, exploit, annotate, analyse or combine them, wherever they are located. 3

CLARIN ERIC in members and centres A consortium of countries: 17 members: AT, BG, CZ, DE, DK, DLU, EE, FI, GR, IT, LT, NL, NO, PL, PT, SE, SI 1 observer: UK 4

CLARIN and data science Analytics for text and speech data as a pillar for data science Contribution to the development of new methodological frameworks for the integrated processing of multiple datatypes and multidisciplinary research agendas. Europe’s mulitlinguality as a basis for comparative research of societal phenomena, and in particular those that are reflected in language use:  Migration patterns  Intellectual history  Language variation  …. Text and speech as data 5

CLARIN and data science Analytics for text and speech data as a pillar for data science Contribution to the development of new methodological frameworks for the integrated processing of multiple datatypes and multidisciplinary research agendas. Europe’s mulitlinguality as a basis for comparative research of societal phenomena, and in particular those that are reflected in language use:  Migration patterns  Intellectual history  Language variation  …. Text and speech as social data 6

CLARIN in data types Parliamentary records Literary texts Newspaper archives Social Media data Historical letters Disciplinary libraries Institutional archival data Broadcast archives …. Oral History data 7

Text as data: Oral History Aim for this workshop: exploring existing and envisoned approaches for analyzing oral history data with the use of CLARIN- compatible standards and processing tools. Long-term vision: The CLARIN infrastructure provides easy access to oral history data and services suited for this type data and encourages researchers to develop and address discipline-specific hypothesesand scholarly questions. 8

User needs: determined by task Data curation Transcription Time alignment Metadata creation Exploration of the accessible data Finding interviews on specific topic, with a specific interviewee Finding fragments with a specific name, phrase, etc. Analysis Annotation Mining of text / transcripts Link generation Result presentation Citation of fragments Visualization 9

Prehistory of this workshop CLARIN-PLUS: outreach to new users, focus on four specific data types  newspaper data  parliamentary data  social media data  oral history data Collaboration in proposals, research collaboration, etc  R&D proposals (FP7)  Infrastructure calls (H2020)  HERA  National initiatives  International projects 10

Lessons learned (1) Oral history collections are considered a data type that is multifacetted through the combination of modalities and semantic layers captures human communicative behaviour in a very rich way, including context is suited for both close listening and distance reading Oral history data (audio, video, metadata, transcripts, etc.) have a huge potential for reuse and re-purposing within many disciplines in the humanities and social sciences and beyond: Humanities: linguistics, history, media studies, … Social sciences: psychology, memory studies, transitional justice … Human computer interaction: social signal processing, … 11

Lessons learned (2) User ambitions tend to be conservative, so a bit of technology push can be good, but.... the functionality that tools have to offer should support users in the workflows they know rather than steer the exploration of data or the application of tools in ways that are disruptive, so user needs should be leading. Scholarly insights and conlusions without modes for validating/replicating the results have no added value, so black boxes are useless. For collaboration across disciplinary boundaries, communication pitfalls will never stop to exist, so keep talking after this workshop! 12