Data Mining Research Using In-copyright and Limited-access Text Datasets

April 5 & 6, 2018
Chicago, Illinois

This project will bring together experts and thought leaders for a 1.5 day meeting to articulate an agenda that provides guidelines for libraries to facilitate research access, implement best practices, and mitigate issues associated with methods, approaches, policy, security, and replicability in research that incorporates text datasets that are subject to intellectual property (IP) rights.

Forum attendees will include librarians, researchers, and content providers who will be called to explore issues and challenges for scholars performing data mining and analysis on in-copyright and limited-access text datasets. These datasets are subject to restrictions that lead researchers to obtain permission for each use, to perform non-consumptive research where they do not have read access to the full text corpus, or to work their library to identify whether the content provider’s licensing terms and agreements allow for use.

This project is funded by the Institute of Museum and Library Services award LG-73-17-0070-17.