UC Berkeley Team Awarded Grant to Help Digital Humanities Scholars Navigate Legal Issues of Text Data Mining

From UC Berkeley:

We are thrilled to share that the National Endowment for the Humanities (NEH) has awarded a $165,000 grant to a UC Berkeley-led team of legal experts, librarians, and scholars who will help humanities researchers and staff navigate complex legal questions in cutting-edge digital research.

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Until now, humanities researchers conducting text data mining have had to navigate a thicket of legal issues without much guidance or assistance. For instance, imagine the researchers needed to scrape content about Egyptian artifacts from online sites or databases, or download videos about Egyptian tomb excavations, in order to conduct their automated analysis. And then imagine the researchers also want to share these content-rich data sets with others to encourage research reproducibility or enable other researchers to query the data sets with new questions.

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The good news is that the NEH has agreed to support an Institute for Advanced Topics in the Digital Humanities to help key stakeholders to learn to better navigate legal issues in text data mining. Thanks to the NEH’s $165,000 grant, Rachael Samberg of UC Berkeley Library’s Office of Scholarly Communication Services will be leading a national team from more than a dozen institutions and organizations to teach humanities researchers, librarians, and research staff how to confidently navigate the major legal issues that arise in text data mining research.

Our institute is aptly called Building Legal Literacies for Text Data Mining (Building LLTDM), and will run from June 23-26, 2020 in Berkeley, California. Institute instructors are legal experts, humanities scholars, and librarians immersed in text data mining research services, who will co-lead experiential meeting sessions empowering participants to put the curriculum’s concepts into action.

Read the Complete Announcement

See Also: Authors Alliance to Take Part in NEH-Funded Institute on Building Legal Literacies in Text Data Mining 

Filed under: Associations and Organizations, Data Files, Funding, News