About the Project
Legal Literacies for Text Data Mining – Cross Border (“LLTDM-X”) is a project supporting research and analysis to address law and policy issues faced by U.S. digital humanities practitioners whose text data mining research and practice intersects with foreign-held or -licensed content, or involves international research collaborations. It is funded by the National Endowment for the Humanities, and is co-led by Internet Archive and UC Berkeley Library.
Why is LLTDM-X needed?
Text data mining, or TDM, is an increasingly essential and widespread research approach. TDM relies on automated techniques and algorithms to extract revelatory information from large sets of unstructured or thinly-structured digital content. These methodologies allow scholars to identify and analyze critical social, scientific, and literary patterns, trends, and relationships across volumes of data that would otherwise be impossible to sift through.
While TDM methodologies offer great potential, they also present scholars with nettlesome law and policy challenges that can prevent them from understanding how to move forward with their research. Building LLTDM trained TDM researchers and professionals on essential principles of copyright, licensing, and privacy law, as well as ethics—thereby helping them move forward with impactful digital humanities research.
As Building LLTDM revealed, United States digital humanities scholars do not conduct text data mining research only in or about the U.S. Further, digital humanities research in particular is marked by collaborativeness across institutions and geographical boundaries. Yet, U.S. practitioners encounter expanding and increasingly complex cross-border problems.
For example, U.S. contract law may supersede rights under copyright, such that a U.S. database license agreement may prohibit text data mining and other fair uses, whereas UK licenses cannot. Therefore U.S. TDM practitioners collaborating with UK-based colleagues face impactful choices about which agreements to apply, as this may determine whether text data mining is permitted. In the U.S., “breaking” technological protection measures to conduct text data mining is now authorized within certain parameters, yet other jurisdictions prohibit such work or apply different conditions. U.S. text data mining researchers must accordingly consider how they work with internationally-held or -licensed materials or collaborators.
There are at least three such “cross-border” TDM scenarios that scholars must parse, including: (i) if the materials they want to mine are housed in a foreign jurisdiction, or are otherwise subject to foreign database licensing or laws; (ii) if the human subjects they are studying or who created the underlying content reside in another country; or, (iii) if the colleagues with whom they are collaborating reside abroad, yielding uncertainty about which country’s laws, agreements, and policies apply. These may collectively be considered the “cross-border” TDM scenarios.
U.S. researchers are uncertain about how to navigate each of these scenarios. As evidenced in an informal survey that we conducted with digital humanities scholars, 70% of respondents reported cross-border copyright questions, 72% reported uncertainty about cross-border licensing terms, 52% noted privacy issues, and 48% identified ethical concerns. This confusion greatly impacted their TDM research. Twenty-eight percent (28%) of respondents confirmed that these cross-border copyright, licensing, privacy, or ethical issues impeded or prevented their project entirely. Of equal concern is that 40% of responding practitioners reported hesitation to share their workflows, methodology, or sources because of possible cross-border LLTDM issues. Without transparency, findings are deemed unreliable and scholarship may be rejected for publication. These problems will only mount given the increasing collaborativeness of research and the substantial amount of cross-border research occurring.
What will LLTDM-X do?
Through a series of virtual roundtable discussions, and accompanying legal research and analysis, LLTDM-X will surface these cross-border issues and begin to distill preliminary guidance to help scholars in navigating them.
The first roundtable will engage U.S. digital humanities text data mining practitioners in sharing their cross-border TDM experiences. U.S. and global law and ethics experts will help guide the roundtable discussion to elicit the contours of practitioner experiences. During two subsequent roundtables—one focusing on cross-border copyright and licensing, and another on cross-border privacy and ethics—the experts will discuss practitioners’ hurdles in depth, and begin to develop customized guidance.
After the roundtables, we will work with the law and ethics experts to create instructive case studies that reflect the types of cross-border TDM issues practitioners encountered. These case studies will incorporate recommendations to help a broad audience of U.S. digital humanities text data mining practitioners navigate LLTDM-X concerns. Case studies, guidance, and recommendations will be widely-disseminated via an open access report to be published at the completion of the project. And most importantly, they will be used to inform our future educational offerings.
Our long-term goal is to design instructional materials and institutes to support digital humanities TDM scholars facing cross-border issues, but our first step with LLTDM-X is getting a better handle on the specific law and policy challenges they face.
Via an openly-disseminated (CC0) report, we will share: 1. probative hypothetical Case Studies reflecting the types of LLTDM-X issues surfaced in the roundtables, 2. widely-applicable guidance for navigating these issues, and 3. recommendations for future development of LLTDM-X training modules that build upon the Case Studies and guidance. The report and embedded outputs will be hosted on a forthcoming CRL website, which will also collocate existing LLTDM resources. We will promote all resources through a variety of channels, including by publishing them on local and subject-specific scholarly repositori
Thomas Padilla (Project Director): Thomas is Deputy Director, Archiving and Data Services at Internet Archive, and has deep experience cultivating library, archive, and museum ability to support TDM research. He has previously served as Principal Investigator of the Andrew W. Mellon supported Collections as Data: Part to Whole, the Institute of Museum and Library Services supported, Always Already Computational: Collections as Data, and as author of the library community research agenda, Responsible Operations: Data Science, Machine Learning, and AI in Libraries. In addition, Padilla was an expert faculty for Building LLTDM, the precursor to LLTDM-X.
Rachael Samberg (Project Co-Director): Rachael is Scholarly Communication Officer & Program Director of the University of California, Berkeley Library’s Office of Scholarly Communication Services. She served as Project Director and legal expert for Building LLTDM. A Duke Law graduate, Rachael practiced intellectual property litigation at Fenwick & West LLP for seven years before spending six years at Stanford Law School’s library, where she was Head of Reference & Instructional Services and a Lecturer in Law. Rachael speaks throughout the country about copyright and TDM issues, about which she is widely published. Her chapter, Law & Literacy in Non-Consumptive Text Mining, was published in Copyright Conversations (ALA, 2019).
Stacy Reardon (Project Team Member): Stacy Reardon is Literatures and Digital Humanities Librarian at the University of California, Berkeley Library, where she provides guidance and instruction on digital humanities projects and methods. Stacy served as a library expert on the Project Team for the NEH-funded Building Legal Literacies for Text Data Mining. She is co-chair of the UC Berkeley’s Digital Humanities Working Group, and received her Ph.D. in literature from the University of Massachusetts, Amherst.
Timothy Vollmer (Project Manager): Timothy Vollmer is Scholarly Communication and Copyright Librarian at UC Berkeley Library. He served as Project Manager for the NEH-funded Building Legal Literacies for Text Data Mining. Tim worked as a senior public policy manager for Creative Commons, and contributed to writing and advocacy on the text data mining exceptions in the EU’s Directive on Copyright in the Digital Single Market. He formerly was the Assistant Director to the Program on Public Access to Information at the American Library Association.
Any views, findings, conclusions, or recommendations expressed in LLTDM-X do not necessarily represent those of the National Endowment for the Humanities.