Skip Main Navigation
Page Content

Save This Event

Event Saved

Paving the way for text and data mining in science


Thursday, May 24, 2018 from 9:30 AM to 3:30 PM (CEST)

Paving the way for text and data mining in science

Registration Information

Type End Quantity
General Admission May 22, 2018 Free  

Share Paving the way for text and data mining in science

Event Details

This event marks the official launch of the OpenMinTeD platfrorm (, and we would like to invite you to join us for a live discussion on the way forward.  

Why it matters: We live in an era of exponential growth of information in the scientific digital world. To make sense of all this information encoded inside text and data and unlock the potential of turning information into knowledge, text and Data Mining (TDM) has emerged as powerful and valuable assistant.

What is it about: It is about unleashing the power of open access and open science. OpenMinTeD (a H2020 project) has paved the way for TDM in science by establishing a cloud-based TDM infrastructure for scientific literature. It has brought together publishers and repositories, TDM software providers, domain discipline researchers and the industrial world through the use of a collaborative platform that allows sharing and re-using of content, TDM services and cloud resources.

Who is it for? Whether you are a publisher or repository manager, a TDM software provider or developer, researcher, SME, company, funder or government employee, feel free to join and participate in this open discussion.

  • Content Providers of Scientific/Scholarly Works: Publishers that want to maximize the impact of the publications, Library Managers that want to foster the TDM capabilities of their content, Repository Managers that want to share their content 

  • Software Providers of TDM applications and tools: Developers, NLP researchers, and TDM enthusiasts that seek a platform to expose their work

  • Researchers: Users of TDM applications, searching for new tools and applications to enhance their research, improve efficiency and research outcomes

  • SMEs, Industry: Commercial organizations interested in using TDM to build new innovations, improve their R&D and achieve a competitive advantage  



09:30 - 10:00 Registration, coffee

Policy meeting technology 

10:00 - 10:10 Introduction, Natalia Manola, OpenAIRE Managing Director

10:10 - 10:30 The EC perspective on Text and Data Mining and Open Science, EC representative

10:30 - 11:00 Open Text and Data Mining: share, process, discover, the OpenMinTeD storyline. Stelios Piperidis, Athena Research & Innovation Center

TDM for scientific literature in practice 

ModeratorsPetr Knoth, Open University, CORE, Simone Sacchi, LIBER

11:00 - 11: 45 Unlocking scientific content: the publishers' perspective, Frederick Fenter, Frontiers, Elizabeth Crossick, Elsevier, TBC

11:45 - 12:45 Knowledge Discovery - Mining Technologies success stories, Dr. Horacio Saggion, TALN Group, Universitat Pompeu Fabra Barcelona, Dr. Fabio Rinaldi, University of Zurich, Dr. Matt Shardlow, Lecturer, Manchester Metropolitan University, TBC

12:45 - 13:30 Lunch Break

To TDM or not to TDM? 

Moderator: Maria Rehbinder, Aalto University, Finland

13:30 - 14:30 A discussion with legal experts. Thomas Margoni, University of Glasgow, Prodromos Tsiavos, Athena Research & Innovation Center 

Open discussion.

TDM 3 years from now  

Moderator: Kalina Bontcheva, University of Sheffield

14:30 - 15:30  Panel discussion. Looking into the future: Text and Data Mining 3 years from now, Panel Composition: Alfonso Valencia, ELIXIR & Barcelona Supercomputing Center, Laurence El Khouri, ISTEX & National Center for Scientific Research (DIST/CNRS), Jane Reed, Head of Life Science Strategy, Linguamatics

  • Kalina Bontcheva

    Kalina Bontcheva

    University of Sheffield

    Senior researcher in the Natural Language Processing Group

  • Elizabeth Crossick

    Elizabeth Crossick

    Reed Elsevier

    Head of Gov Relations - Brussels

  • Laurence El Khouri

    Laurence El Khouri

    French National Center for Scientific Research (CNRS)

    Director of the Scientific and Technical Information Department

  • Petr Knoth

    Petr Knoth

    Knowledge Media Institute, Open University, UK

    Senior Research Fellow in Text and Data Mining

  • Natalia Manola

    Natalia Manola

    Athena Research & Innovation Center (ARC)

    OpenAIRE Managing Director, OpenMinTeD coordinator

  • Thomas Margoni

    Thomas Margoni

    University of Glasgow Create

    Legal Advisor

  • Stelios Piperidis

    Stelios Piperidis

    Institute for Language & Speech Processing, Athena Research & Innovation Center (ARC)

    OpenMinTeD, Scientific Project Coordinator

  • Jane Reed

    Jane Reed


    Head of Life Science Strategy

  • Maria Rehbinder

    Maria Rehbinder

    Aalto University

    Legal Counsel IP, Copyright Attorney

  • Fabio Rinaldi

    Fabio Rinaldi

    University of Zurich

    Lecturer and senior researcher at the Institute of Computational Linguistics

  • Simone Sacchi

    Simone Sacchi


    Open Science Officer

  • Horacio Saggion

    Horacio Saggion

    Universitat Pompeu Fabra, Barcelona

    Associate Professor in the TALN Group at the Department of Information and Communication Technologies

  • Matt Shardlow

    Matt Shardlow

    Manchester Metropolitan University


  • Prodromos Tsiavos

    Prodromos Tsiavos


    Legal advisor

  • Alfonso Valencia

    Alfonso Valencia

    ELIXIR Spain

    Platform Lead

Have questions about Paving the way for text and data mining in science? Contact OpenMinTeD

Save This Event

Event Saved

When & Where

46A Rue Des Palais
1030 Brussels

Thursday, May 24, 2018 from 9:30 AM to 3:30 PM (CEST)

  Add to my calendar


Paving the way for text and data mining in science
Things to do in Brussels Networking Science & Tech

Interested in hosting your own event?

Join millions of people on Eventbrite.

Please log in or sign up

In order to purchase these tickets in installments, you'll need an Eventbrite account. Log in or sign up for a free account to continue.