Digital Infrastructures for Research 2017

Session

Text and data mining for open science

1 Dec 2017, 14:00

The Square Meeting Centre

Conveners

Text and data mining for open science

• Natalia Manola (University of Athens, Greece)

Description

The proposed session discusses ways of supporting the EOSC vision by fostering
collaboration between infrastructures and bringing into the spotlight Text and Data Mining (TDM) as a valuable research instrument opening up new highways in (multi-/cross-) disciplinary research.
The session is structured in two parts.
The first part consists of presentations that introduce the topic of TDM and give an overview of the services OpenMinTeD offers to research communities, the technical and legal barriers it aims to overcome and the solutions it has adopted.
The second part is an interactive discussion with a panel of experts on Open Science, Infrastructures and Text Data Mining.

208. Overview of OpenMinTeD

Natalia Manola (University of Athens, Greece)

01/12/2017, 14:00

209. Use case I – Agriculture & Biodiversity: Text-mining for agriculture & biodiversity

Claire Nédellec (INRA)

01/12/2017, 14:05

Textual data is one of the main source of knowledge in agriculture and biodiversity domains. It is incredibly underexploited compared to other data. We will present applications on two major issues, food microbiology and wheat selection deployed on two infrastructures of IFB (French Institute for Bioinformatics) and available as web applications. They reuse a same OpenMinTeD semantic content...

210. Use case II – Life Sciences: Harnessing text-mining for biophysically-detailed brain modeling

Christian O'Reilly (EPFL)

01/12/2017, 14:10

This short presentation illustrates the kind of modelling that is being done in the context of the Blue Brain Project. It explains our need to populate, from the literature, values for a large amount of modelling parameters. Finally, it describes a manual literature curation framework that has been set up to tackle this need and how OpenMinTeD can be (and started to be, in context of LS-B)...

211. Use case III – Social Sciences: Mining data references from social science publications to enhance information discovery and linking

Peter Mutschke (Gesis)

01/12/2017, 14:15

Research in the Social Sciences is usually based on survey data which consist of a number of single research questions (so-called variables). However, due to a lack of standards for data citations a reliable identification of variable references in scientific publications is often difficult. We present a work-in-progress study that seeks to provide a solution to the variable detection task based...

212. The challenges and opportunities of OpenMinTeD: a legal perspective

Giulia Dore (CREATe)

01/12/2017, 14:20

Text and Data Mining represents the future of research in many ways. Yet, it is surrounded by a world of legal barriers, from copyright law to licensing agreements, that impede its full development. OpenMinTeD aims at overcoming such barriers and helping researchers achieve the highest potential of TDM.

213. Panel discussion

01/12/2017, 14:25

A panel group consisting of key persons involved in designing and/or running related infrastructures will exchange ideas and views on the role OpenMinTeD can play in the Open Science paradigm. They are expected to bring in the discussion different perspectives, presenting how they see their collaboration with OpenMinTeD: for instance, if and how they could deploy OpenMinTeD for the objectives...