Webinar: Text and Data Mining: The Way Forward, June 30, 10am (EDT)
LITA announcement. Date: Thursday, June 30, 2016, Time: 10am-11:30am (EDT), Platform: WebEx. Registration required.
a critically important means of uncovering patterns of intellectual practice and usage that have the potential for illuminating facets and perspectives in research and scholarship that might otherwise not be noted. At the same time, challenges exist in terms of project management and support, licensing and other necessary protections.
Confirmed speakers include: Audrey McCulloch, Executive Director, ALPSP; Michael Levine-Clark, Dean of Libraries, University of Denver; Ellen Finnie, Head, Scholarly Communications and Collections Strategies, Massachusetts Institute of Technology; and 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
Text and Data Mining: Library Opportunities and Challenges
Michael Levine-Clark, Dean and Director of Libraries, University of Denver
As scholars engage with text and data mining (TDM), libraries have struggled to provide support for projects that are unpredictable and tremendously varied. While TDM can be considered a fair use, in many cases contracts need to be renegotiated and special data sets created by the vendor. The unique nature of TDM projects makes it difficult to plan for them, and often the library and scholar have to figure them out as they go along. This session will explore strategies for libraries to effectively manage TDM, often in partnership with other units on campus and will offer suggestions to improve the process for all.
Michael Levine-Clark, the Dean and Director of the University of Denver Libraries, is the recipient of the 2015 HARRASOWITZ Leadership in Library Acquisitions Award. He writes and speaks regularly on strategies for improving academic library collection development practices, including the use of e-books in academic libraries, the development of demand-driven acquisition models, and implications of discovery tool implementation.
Library licensing approaches in text and data mining access for researchers at MIT
Ellen Finnie, Head, Scholarly Communications & Collections Strategy, MIT Libraries
This talk will address the challenges and successes that the MIT libraries have experienced in providing enabling services that deliver TDM access to MIT researchers, including:
· emphasizing TDM in negotiating contracts for scholarly resources
· defining requirements for licenses for TDM access
· working with information providers to negotiate licenses that work for our researchers
· addressing challenges and retooling to address barriers to success
· offering educational guides and workshops
· managing current needs v. the long-term goal– TDM as a reader’s right
Ellen Finnie is Head, Scholarly Communications & Collections Strategy in the MIT Libraries. She leads the MIT Libraries’ scholarly communications and collections strategy in support of the Libraries’ and MIT’s objectives, including in particular efforts to influence models of scholarly publishing and communication in ways that increase the impact and reach of MIT’s research and scholarship and which promote open, sustainable publishing and access models. She leads outreach efforts to faculty in support of scholarly publication reform and open access activities at MIT, and acts as the Libraries’ chief resource for copyright issues and for content licensing policy and negotiations. In that role, she is involved in negotiating licenses to include text/data mining rights and coordinating researcher access to TDM services for licensed scholarly resources. She has written and spoken widely on digital acquisitions, repositories, licensing, and open access.
Jeremy Frey, Professor of Physical Chemistry, Head of Computational Systems Chemistry, University of Southampton, UK
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.