FutureTDM Text & Data Mining- the opportunities and the EU conundrum

September 27, 2016, Brussels, Belgium Susan Reilly LIBER, the Association of European Research Libraries

Horizon 2020

Coordination and Support Action

GARRI-3-2014 Scientific Information in the Digital Age: Text and Data Mining (TDM)

Improve the Uptake of Text & Data Mining (TDM) in Europe…

Why are we here?

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“the discovery by computer of new, previously unknown information, by automatically extracting and relating information from different (…)resources, to reveal otherwise hidden meanings” (Hearst, 1999)

Why TDM? Why now?

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ICT Availability

Computing

Power

Data

16 trillion gigabytes of data

by 2020 (236% growth)

Doubles every 2 years (Moores

Law, 1965)

Over 80% EU citizens have

internet access (Eurostat 2014)

• Addressing grand challenges such as climate change and global epidemics

• Improving population health, wealth and development

• Creating new jobs and employment

• Exponentially increasing the speed and progress of science through new insights and greater efficiency of research

• Increasing transparency of governments and their actions

• Fostering innovation and collaboration and boosting the impact of open science

• Creating tools for education and research

• Providing new and richer cultural insights

• Speeding economic and social development in all parts of the globe

(The Hague Declaration on Knowledge Discovery)

Potential of TDM

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5 http://www.flickr.com/photos/21042103@N03/3136430416/ Funny Kitten

TDM is not a homogeneous, self-contained, scientific domain, but rather a diverse and complex set of

methods and technologies deployed in the framework of diverse disciplines and business

activities

The Key Challenge

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Microcosmic view: TDM and Sentiment Analysis

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Hedonometer

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http://varianceexplained.org/r/trump-tweets/

Enablers

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Technical - Automation of analysis - Volume of data

Legal -Data protection -Regional disparities in copyright law

Skills -Need to marry discipline specific with technical -Information literacy

Content -More diverse data sources

▪ Any kind of outcomes e.g. deliverables, research highlights, KCs, events, publications,

presentations, booths, factsheets, …

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ELABORATE a legal and policy framework for future TDM, define policy priorities, specify a research agenda to foster the spread of TDM in various research fields within the EU

BUILD a Collaborative Knowledge Base and an Open Information Hub combined on a web-based platform including intuitive tools

ANALYSE current application areas and trends in TDM including

statistics and key figures, collect relevant research and industrial

projects and best practices

ASSESS existing studies, legal regulations and policies on TDM within the European

Union

Main Objectives of FutureTDM

INVOLVE all key stakeholders to identify practices,

requirements, and specific challenges in the field of

TDM

INCREASE awareness of TDM to attract new target groups and science domains

Process

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Join the Community!

FutureTDM Collaborative Knowledge Base and Open Information Hub

Platform: http://futuretdm.eu/

Expert Blog Best Practice Catalogue

Project Database

Tool Selector

Baseline Reports

Comparative Analysis

FutureTDM Guidelines

Leading Projects Area (promoting/knowledge exchange - e.g. OpenMinTeD)

Landscape Overview

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meet the TEXT & DATA MINING

Community

http://www.futuretdm.eu/

Have your say!

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Impact

Remove existing legal, technological and skill barriers that prevent TDM technology from being adopted within the EU.

Increase awareness about the social, economic and scientific benefits of TDM.

Increase the Union’s competitiveness with other high-tech economies (like Japan, South Korea, US) by enhancing TDM adoption.

Foster the adoption of TDM in science and economy.

Lead to Research & Innovation policy that is more relevant and responsive to society

Impact

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@skreilly @futureTDM