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Reducing Barriers and Increasing Uptake of Text and Data Mining for Research Environments using a Collaborative Knowledge and Open Information Approach

Reducing Barriers and Increasing Uptake of Text and Data Mining for Research Environments using a Collaborative Knowledge and Open Information Approach

Objective

The exponential growth of data in the digital age has led to the development of powerful techniques for effectively harnessing digital information and discovering new knowledge. In this context, Text and Data Mining (TDM) enables researchers from different disciplines to analyse, extract insights and knowledge, and exploit diverse and complex datasets from various digital media. However, the present use of TDM in Europe is significantly lower than in the US and Asia, most probably due to limitations imposed by the European legal framework. In this light, the FutureTDM project identifies and reduces the barriers that inhibit the uptake of TDM for researchers, and innovative businesses. FutureTDM provides critical up-to-date assessments of legal regulations and policies impacting TDM in the EU, and places them in the international research and innovation context. It adopts a bottom-up approach by initiating dialogue between all relevant stakeholders, engaging them via knowledge cafés, workshops and representation on the advisory board to help identify barriers, common solutions and increase awareness of TDM practices and their potential. This combined approach will lead to developing novel policy frameworks and interdisciplinary case-driven practitioner guidelines facilitating the spread of TDM activities. Key to success will be the engagement of actors in the broader community (libraries, publishers, funders, etc.), who will be mobilised through workshops and will be provided with targeted recommendations in the Roadmap for TDM’s uptake. The knowledge distilled from quantitative and qualitative research will be integrated into a Collaborative Knowledge Base and Open Information Hub (www.FutureTDM.eu) using insightful visualisations. This dynamic platform will showcase excellence in TDM research and data-driven innovation and serve as reference for current and future TDM practitioners ensuring broader TDM uptake to boost Europe’s research and innovation capacities.

Coordinator

SYNYO GmbH

Address

Otto-Bauer-Gasse 5/14
1060 Wien

Austria

Activity type

Other

EU Contribution

€ 241 812,50

Participants (8)

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STICHTING LIBER

Netherlands

EU Contribution

€ 219 500

OPEN KNOWLEDGE FOUNDATION LBG

United Kingdom

EU Contribution

€ 185 750

STICHTING KATHOLIEKE UNIVERSITEIT

Netherlands

EU Contribution

€ 171 030

THE BRITISH LIBRARY BOARD

United Kingdom

EU Contribution

€ 157 875

UNIVERSITEIT VAN AMSTERDAM

Netherlands

EU Contribution

€ 178 715

ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS

Greece

EU Contribution

€ 175 312,50

UBIQUITY PRESS LIMITED

United Kingdom

EU Contribution

€ 86 750

FUNDACJA PROJEKT: POLSKA

Poland

EU Contribution

€ 75 625

Project information

Grant agreement ID: 665940

  • Start date

    1 September 2015

  • End date

    31 August 2017

Funded under:

H2020-EU.5.f.

  • Overall budget:

    € 1 492 370

  • EU contribution

    € 1 492 370

Coordinated by:

SYNYO GmbH

Austria