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Title:Text Data Mining Beyond the Open Data Paradigm: Perspectives at the Intersection of Intellectual Property and Ethics
Author(s):Senseney, Megan; Koehl, Eleanor Dickson
Subject(s):text data mining
intellectual property
ethics
proprietary data
Abstract:This poster highlights outcomes from an IMLS-funded National Forum project on text data mining with content that is subject to use conditions due to intellectual property rights. It argues that developing strong frameworks for conducting text mining with IP-limited data is an urgent priority for supporting responsible, sustainable research in the twenty-first century.
Issue Date:2018-12-06
Citation Info:Senseney, M. & Koehl, E.D. (2018). Text data mining beyond the open data paradigm: Perspectives at the intersection of intellectual property and ethics. Poster presented at the 81st Annual Meeting of the Association for Information Science and Technology, Vancouver, Canada, November 10 - 14, 2018.
Genre:Conference Poster
Type:Text
Image
Language:English
URI:http://hdl.handle.net/2142/102146
Sponsor:Institute for Museum and Library Services (LG-73-17-0070-17)
Rights Information:Creative Commons — Attribution 4.0 International — CC BY 4.0
Date Available in IDEALS:2018-12-06


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