Text Data Mining Beyond the Open Data Paradigm: Perspectives at the Intersection of Intellectual Property and Ethics

Senseney, Megan; Koehl, Eleanor Dickson

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https://hdl.handle.net/2142/102146 Copy

Description

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

Issue Date

2018-12-06

Keyword(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.

Type of Resource

• text
• image

Language

en

Permalink

http://hdl.handle.net/2142/102146

Sponsor(s)/Grant Number(s)

Institute for Museum and Library Services (LG-73-17-0070-17)

Copyright and License Information

Creative Commons — Attribution 4.0 International — CC BY 4.0

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