Text and Data Mining: The Way Forward as Seen by the Library, Publisher and Researcher Communities

From the Chemistry of Data to the Data of Chemistry

In my talk I will discuss the way in which the ideas of the Data Science, Web and Semantic Web, Open Science (to some extent the twin disciplines of Chemometrics and Cheminformatics) contribute to new methods and approaches to data driven chemistry. A key aspect of the discussion will be how to facilitate the improved acquisition and integration and analysis of chemical data in context from experiments and the literature. I will refer to the challenges and lesions learnt in the e-Science and Digital Economy in accessing and extracting data and information.

TDM-The Way Forward

After being in existence for several years in other sectors, TDM for scholarly research is starting to gain traction. The UK has introduced an exception for TDM for research, but the publishers are still not seeing a rising demand. The EU Commission plans to produce draft legislation for an exception later this year, and in the US this comes under the fair use doctrine. But what is holding TDM back? Is it legislation? Is it access? Is it technical? This session will explore what legislation is in place, what effect it has had, what challenges still need to be solved and what solutions are already in place.

Library licensing approaches in text and data mining access for researchers at MIT

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

Text and Data Mining: Library Opportunities and Challenges

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.