ICSTI Text and Data Mining

Jeremy Frey, Professor of Physical Chemistry, Head of Computational Systems Chemistry, University of Southampton, UK

Audrey McCulloch, Chief Executive, Association of Learned Professional and Society Publishers (ALPSP) and Director of the Publishers Licensing Society

Ellen Finnie, Head, Scholarly Communications & Collections Strategy, MIT Libraries

Michael Levine-Clark, Dean and Director of Libraries, University of Denver

Text and Data Mining (TDM) facilitates the discovery, selection, structuring, and analysis of large numbers of documents/sets of data, enabling the visualization of results in new ways to support innovation and the development of new knowledge. In both academia and commercial contexts, TDM is increasingly recognized as a means to extract, re-use and leverage additional value from published information, by linking concepts, addressing specific questions, and creating efficiencies. But TDM in practice is not straightforward. TDM methodology and use are fast changing but are not yet matched by the development of enabling policies.

This webinar provides a review of where we are today with TDM, as seen from the perspective of the researcher, library, and licensing-publisher communities.

Link to the webinar.

Leave a Reply

Your email address will not be published. Required fields are marked *

Spam prevention powered by Akismet