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Title:IMLS National Forum on Data Mining Research Using In-copyright and Limited-access Text Datasets: Discussion Paper, Forum Statements, and SWOT analyses
Author(s):Dickson, Eleanor; Senseney, Megan; Namachchivaya, Beth; Ludäscher, Bertram
Contributor(s):Althaus, Scott; Borgman, Christine L.; Butler, Brandon; Cormier, Marc; Cox, Krista; Downie, J. Stephen; Feeney, Patricia; Guibault, Lucie; Horstmann, Wolfram; Lynch, Clifford; Murray-Rust, Peter; Orcutt, Darby; Padilla, Thomas; Paolillo, Michelle; Piper, Andrew; Sag, Matthew; Samberg, Rachael; Shipman, Jean; Strawn, George; Uhlir, Paul F.; Waibel, Günter; Wittenberg, Kate; Worthey, Glen
Subject(s):text data mining
intellectual property
data use and access
terms and conditions
research data services
Abstract:This discussion paper foregrounds discussion at “Text Mining with Limited-Access Data,” a National Forum funded by the Institute for Museum and Library Services. The forum convened twenty-five stakeholders for a day-and-a-half long meeting to explore the current landscape for text data mining using texts that are under copyright or protected by licenses, including terms of use licenses, that limit access and use. The stakeholders include librarians, researchers, legal experts, content providers, and representatives of professional organizations. Prior to the forum, project team members interviewed stakeholders to learn more about their perspectives on research that employs use-limited text data, and to guide forum participants in drafting written statements and SWOT (Strength, Weakness, Opportunity, and Threat) analyses. This paper reports on the progress of the National Forum project, as well as synthesizes participant responses to the interviews and in their forum statements. It intends to establish a shared vocabulary and key points of consideration for the forum. Initial forum statements and SWOT analyses are included as a separate document.
Issue Date:2018-05-24
Publisher:Center for Informatics Research in Science and Scholarship
Citation Info:Dickson, E., Senseney, M., Namachchivaya, B., & Ludäscher, B. (2018). IMLS National Forum on Data Mining Research Using In-copyright and Limited-access Text Datasets: Discussion Paper, Forum Statements, and SWOT analyses. Center for Informatics Research in Science and Scholarship, University of Illinois at Urbana-Champaign.
Genre:Working / Discussion Paper
Sponsor:IMLS LG-73-17-0070-17
Rights Information:Creative Commons Attribution 2.0 Generic (CC BY 2.0)
Date Available in IDEALS:2018-05-25

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