This edited collection documents the virtual Building Legal Literacies for Text Data Mining Institute held June 2020. The Institute aimed to teach digital humanities researchers and professionals about the key legal issues surrounding text data mining in the US, including copyright, technological protection measures, privacy, and ethics.
It details how the organizers transitioned the originally planned in-person workshop into an effective online event due to the pandemic. Substantive content was pre-recorded and organized in a flipped classroom model. Short videos and readings covered the topics, with transcripts and slides to promote accessibility.
The book explores each legal literacy covered at the Institute in dedicated chapters. It describes the Institute structure and daily activities. It also provides ideas for hosting shorter literacy teaching sessions. Finally, reflections consider lessons learned and the Institute’s impact on advancing understanding of text data mining law and policy.
By documenting this training experience, the work equips scholars with confidence in navigating US law for digital humanities projects while contributing to expanding knowledge through text data mining research.
Recommended for: Researchers, librarians, digital humanities professionals, and others interested in navigating the legal and ethical considerations around text data mining research and projects. This book provides a comprehensive overview of the key legal literacies needed to confidently engage in text data mining, including copyright, international copyright, technological protection measures, licensing, privacy, and research ethics.
You will:
- Gain a thorough understanding of copyright law, fair use, and risk management strategies for text data mining projects in the United States.
- Learn about the complexities of international and cross-border copyright issues when working with text data from global sources.
- Explore the legal implications of bypassing technological protection measures and dealing with “liberated” digital works.
- Discover best practices for navigating licensing agreements, terms of service, and other contractual considerations.
- Understand privacy laws and ethical frameworks relevant to text data mining research involving personal information.
- Learn practical strategies for developing and delivering effective training on these legal literacies to support digital humanities researchers and professionals.
- Be equipped to confidently navigate the legal landscape and mitigate risks when conducting text data mining projects in academic, cultural heritage, and other institutional contexts.
Citation
Samberg, R., & Vollmer, T. (Eds.). (2021). Building legal literacies for text data mining. University of California, Berkeley. https://doi.org/10.48451/S1159P
Licensing
This book is made available under a Public Domain license.
The authors, Scott Althaus; David Bamman; Sara Benson; Brandon Butler; Beth Cate; Kyle K. Courtney; Sean Flynn; Maria Gould; Cody Hennesy; Eleanor Dickson Koehl; Thomas Padilla; Stacy Reardon; Matthew Sag; Rachael Samberg; Brianna L. Schofield; Megan Senseney; Timothy Vollmer; and Glen Worthey, have waived all copyright and related rights to the fullest extent allowed by law.
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