Opdrachtgever: Horizon 2020
Looptijd: 2015-2017
Website: FutureTDM

The partners in the FutureTDM consortium share the ambition behind the EC’s call to develop policy and legal frameworks to reduce the barriers of text and data mining (TDM) uptake and with it, promote the awareness of TDM opportunities across Europe. As a result, the consortium offers a concept that not only focuses on the required identification, assessment and analysis of current TDM obstacles, but also creates a practitioner-driven emphasis through engagement workshops and discussions. An outcome of the FutureTDM project will include, guidelines that offer informed recommendations to practitioners from various disciplines, and propose solutions to overcome legal and policy barriers impeding TDM opportunities. Additionally, the project will create an online Collaborative Knowledge Base and Open Information Hub that will facilitate data-driven innovation through creative knowledge exchange and repositories of tools to address the gap in TDM skills across different areas.



Een auteursrechtelijke uitzondering voor TDM: is het genoeg?

Caspers, M.

<p>Met het recente DSM-richtlijnvoorstel wil de Europese Commissie de weg vrijmaken voor gebruik van ‘text and data mining’ (TDM) ten behoeve van wetenschappelijk onderzoek. Daarmee bevestigt zij dat TDM in principe een auteursrechtelijk relevante handeling is, waarmee zij gebruikers die niet onder de exceptie vallen in een ongunstige positie kan brengen. Tegelijkertijd miskent de focus op het auteursrecht de onderliggende problematiek. Dit artikel neemt de ‘TDM-exceptie’ onder de loep, plaatst vraagtekens bij de effectiviteit ervan en werpt een blik op de toekomstbestendigheid van de TDM-exceptie.</p>


Is Europe Falling Behind in Data Mining? Copyright's Impact on Data Mining in Academic Research

Guibault, L.

Handke, C.W.

Vallbé, J.

<p> This empirical paper discusses how copyright affects data mining (DM) by academic researchers. Based on bibliometric data, we show that where DM for academic research requires the express consent of rights holders: (1) DM makes up a significantly lower share of total research output; and (2) stronger rule-of-law is associated with less DM research. To our knowledge, this is the first time that an empirical study bears out a significant negative association between copyright protection and innovation.</p>


Standardisation in the area of innovation and technological development, notably in the field of Text and Data Mining

Guibault, L.

Handke, C.W.

Hargreaves, I.

Martens, B.

Valcke, P.

<p> Report from the Expert Group.</p>
<p> Text and data mining (TDM) is an important technique for analysing and extracting new insights and knowledge from the exponentially increasing store of digital data ('Big Data'). It is important to understand the extent to which the EU's current legal framework encourages or obstructs this new form of research and to assess the scale of the economic issues at stake.</p> <p>  </p>