Category Archives: Resources

Text Data Mining Research DMCA Exemption Renewed and Expanded

Posted October 25, 2024

Earlier today, the Library of Congress, following recommendations from the U.S. Copyright Office, released its final rule adopting exemptions to the Digital Millenium Copyright Act’s prohibition on circumvention of technological protection measures (e.g.,  DRM).   As many of you know, we’ve been working closely with members of the text and data-mining community as well as our […]

Hachette v. Internet Archive Update: Second Circuit Court of Appeals Rules Against Internet Archive

Posted September 5, 2024

We got a disappointing decision yesterday from the Second Circuit Court of Appeals in the long-running Hachette v. Internet Archive (IA) copyright lawsuit about IA’s digitization and lending of books. The Court affirmed the district court’s decision that IA cannot circulate digital copies of books they have legitimately acquired in physical copies, even when only […]

Authors Alliance and SPARC Supporting Legal Pathways to Open Access for Scholarly Works

Posted August 27, 2024

Authors Alliance and SPARC are excited to announce a new collaboration to address critical legal issues surrounding open access to scholarly publications.  One of our goals with this project is to clarify legal pathways to open access in support of federal agencies working to comply with the Memorandum on “Ensuring Free, Immediate, and Equitable Access […]

Copyright Office Recommends Renewal of the Existing Text Data Mining Exemptions for Literary Works and Films

Posted October 19, 2023

Authors Alliance is delighted to announce that the Copyright Office has recommended that the Librarian of Congress renew both of the exemptions to DMCA liability for text and data mining in its Notice of Proposed Rulemaking for this year’s DMCA exemptions, released today. While the Librarian of Congress could technically disagree with the recommendation to […]

Authors Alliance and Allies Petition to Renew and Expand Text Data Mining Exemption

Posted September 6, 2023

Authors Alliance is pleased to announce that in recent weeks, we have submitted petitions to the Copyright Office requesting that it recommend renewing expanding the existing text data mining exemptions to DMCA liability to make the current legal carve-out that enables text and data mining more flexible, so that researchers can share their corpora of […]

Prosecraft, text and data mining, and the law

Posted August 14, 2023

Last week you may have read about a website called prosecraft.io, a site with an index of some 25,000 books that provided a variety of data about the texts (how long, how many adverbs, how much passive voice) along with a chart showing sentiment analysis of the works in its collection and displayed short snippets […]

Read your open access publishing agreements, or: how you might accidentally give Elsevier or Wiley the exclusive right to profit from your OA article

Posted June 5, 2023

Reading publishing agreements–even for short academic articles–can be extremely time consuming. For many academic publishers, you’ll find an array of information about your rights and obligations as an author, often spread across multiple websites and guides, in addition to the publishing contract itself. It’s tempting to just assume that these terms are standard and reasonable.  […]

Athena Unbound and Untangling the Law of Open Access

Posted May 26, 2023

A few months ago, Authors Alliance and the Internet Archive co-hosted an engaging book talk featuring historian Peter Baldwin and librarian Chris Bourg. They discussed Baldwin’s new book, Athena Unbound: Why and How Scholarly Knowledge Should be Free For All. You can watch the recording of the talk here and access the book for free […]

An Update on our Text and Data Mining: Demonstrating Fair Use Project

Posted April 28, 2023

Back in December we announced a new Authors Alliance’s project, Text and Data Mining: Demonstrating Fair Use, which is about lowering and overcoming legal barriers for researchers who seek to exercise their fair use rights, specifically within the context of text data mining (“TDM”) research under current regulatory exemptions. We’ve heard from lots of you […]