Transforming Library Services for Computational Research with Text Data: Environmental Scan, Stakeholder Perspectives, and Recommendations for Libraries
Date
2021-08
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Association of College and Research Libraries
Abstract
This report from the IMLS National Forum on Data Mining Research Using In-Copyright and Limited-Access Text Datasets seeks to build a shared understanding of the issues and challenges associated with the legal and socio-technical logistics of conducting computational research with text data. It captures preparatory activities leading up to the forum and its outcomes to (1) provide academic librarians with a set of recommendations for action and (2) establish a research agenda for the LIS community.
Description
© 2021 Association of College & Research Libraries, a division of the American Library Association. This work is issued under a Creative Commons Attribution-NonCommercial license CC BY-NC 4.0.
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Report
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Citation
Association of College and Research Libraries. Transforming Library Services for Computational Research with Text Data: Environmental Scan, Stakeholder Perspectives, and Recommendations for Libraries. Megan Senseney, Eleanor Dickson Koehl, Beth Sandore Namachchivaya, and Bertram Ludäscher. Chicago: Association of College and Research Libraries, 2021.