Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Text and data mining - the opportunities and the EU conundrum - why aren’t we doing more?

205 views

Published on

by Susan Reilly, Executive Director LIBER

Published in: Data & Analytics
  • Be the first to comment

Text and data mining - the opportunities and the EU conundrum - why aren’t we doing more?

  1. 1. 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)
  2. 2. Improve the Uptake of Text & Data Mining (TDM) in Europe… Why are we here? 2
  3. 3. “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? 3 ICT Availability Comput ing 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)
  4. 4. • 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 4
  5. 5. 5 http://www.flickr.com/photos/21042103@N03/3136430416 / Funny Kitten
  6. 6. 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 6
  7. 7. Microcosmic view: TDM and Sentiment Analysis 7
  8. 8. Hedonometer 8
  9. 9. 9 http://varianceexplained.org/r/trump-tweets/
  10. 10. Enablers 10  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, …
  11. 11. 11 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
  12. 12. 12 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
  13. 13. 13 meet the TEXT&DATAMINING Community
  14. 14. http://www.futuretdm.eu/ Have your say! 14
  15. 15. 15 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
  16. 16. 16 Contents of this presentation are cc-by 4.0 unless otherwise indicated @skreilly @futureTDM

×