Text and Data Mining in History

Joris van Eijnatten is professor of cultural history at Utrecht University, The Netherlands. He has a fascination for numbers that not many historians have. Last year he was the research fellow for digital humanities at the National Library of The Netherlands, where he applied text and data mining to study the image people have of Europe based on newspapers. I interviewed him about text and data mining in humanities, his work and his personal romance with numbers.

A Strong Rationale Needs Strong Resolve – LIBER Responds to the Commission Copyright Proposal

Today (14 September 2016) the European Commission released its long awaited  draft proposals for a Directive on Copyright and the Digital Single Market. LIBER has released a statement in response to this development outlining the need to go further to ensure that legal certainty is achieved. A well-functioning and competitive market for research and innovation;…

LIBER Replies to EC Consultation on Horizon 2020 “Science with and for Society”

LIBER has officially responded to the European Commission’s consultation on the Horizon 2020 programme ‘Science with and for Society’.  As described by the Commission, the programme aims to “build effective cooperation between science and society, to recruit new talent for science, and to pair scientific excellence with social awareness and responsibility”. This includes objectives such…

LIBER Responds to Commission Communication on Copyright

PRESS RELEASE: LIBER Responds to Commission Communication on Copyright 09 December 2015 Time to get down to work on copyright reform for research and innovation In an announcement today, the European Commission has set out its plans for EU copyright reform. It has been fourteen years since the ‘InfoSoc’ Directive. LIBER the Association of European Research…

Improve Knowledge Discovery: Sign The Hague Declaration

We live in an age of possibility, often referred to as the era of Big Data. An astonishing 90% of data has been produced in the past two years and over 50 million scholarly articles currently exist. These academic papers alone are treasure troves of content, offering unprecedented opportunity for people to learn, discover and…

Text and Data Mining: Challenges and solutions from the publishers’ perspective

On 11 November, OpenMinTeD (a project in which LIBER participates) and Europeana organised a workshop titled ‘Text and Data Mining in Europe: Challenges and Action’. The goal of the workshop was to bring together content providers (publishers, data centers, museums and libraries) who are open to making their data available for Text and Data Mining (TDM).…

LIBER Argues For Pan-European TDM Exception

On 19 February former LIBER President Paul Ayris attended, at the request of current LIBER President Kristiina Hormia-Poutanen, a high-level meeting with European Commissioner Oettinger in Brussels on copyright reform — arguing the case of a mandatory pan-European Exception for Text and Data Mining, which could not be overridden by contracts. The text of Dr Ayris’s…

Open letter to STM

LIBER joins global coalition in calling on STM to withdraw their new model licences

LIBER has joined with a group of 58 signatories representing research institutions, civil society and publishers in calling on STM to withdraw their new model licences. In an open letter the group expressed their shared concern that these licences “would limit the use, reuse and exploitation of research. They would make it difficult, confusing or…

European Research Organisations Call On Elsevier To Withdraw TDM Policy

Eighteen European research and library organisations, including LIBER, are today calling on Elsevier to withdraw its current policy on text and data mining (TDM) Our request has been laid out and explained in an open letter to Michiel Kolman, Senior VP Global Academic Relations at the academic publishing company. We believe that Elsevier’s current TDM policy places unnecessary…