AAUP Addresses Opposition to Copyright Exemption for Researchers | AAUP

“On March 10, 2021, the AAUP signed onto a reply comment addressing opposition to its previously submitted long-form comment seeking an exemption from a prohibition on circumventing technological protection measures for text and data mining (TDM) of lawfully accessed motion pictures and lawfully accessed literary works distributed electronically….

The AAUP continues to support the exemption because faculty and academic researchers are and will continue to be adversely affected in their ability to make fair use of motion pictures and literary works if they are prohibited from accessing certain classes of works. The AAUP is delighted to be working with the Berkeley Clinic for the first time.”

Authors Alliance Files Comment in Support of New Exemption to Section 1201 of the DMCA to Enable Text and Data Mining Research | Authors Alliance

“Yesterday, Authors Alliance, joined by the Library Copyright Alliance and the American Association of University Professors, filed a comment with the Copyright Office for a new three-year exemption to the Digital Millennium Copyright Act (“DMCA”) as part of the Copyright Office’s eighth triennial rulemaking process. Our proposed exemption would allow researchers to bypass technical protection measures (“TPMs”) in order to conduct text and data mining research on both literary works that are published electronically and motion pictures….”

Authors Alliance Petitions for New Exemption to Section 1201 of the DMCA to enable Text and Data Mining Research | Authors Alliance

“Authors Alliance, joined by the Library Copyright Alliance and the American Association of University Professors, filed a petition with the Copyright Office for a new three-year exemption to the DMCA as part of the Copyright Office’s eighth triennial rulemaking process. Our proposed exemption would allow researchers to bypass DRM measures in order to conduct text and data mining research on both literary works that are published electronically and motion pictures. Further details can be found in the full text of the petition, available here.

Text and data mining allows researchers and others to gain new insights into language and culture, scientific inquiry, and civic participation. For example, text and data mining can be used to examine the evolution of language over time or to identify important but overlooked findings in scientific papers….”

Toward an Open Monograph Ecosystem: Report, Slides, Video Available Online | Association of Research Libraries® | ARL®

Toward an Open Monograph Ecosystem (TOME) is a five-year pilot initiative to advance the wide dissemination of scholarship by humanities and humanistic social sciences faculty members through open editions of peer-reviewed and professionally edited monographs. Scholars face growing difficulty in finding publishers for their monographs as academic library budgets shrink and demand for monographs falls. The Association of American Universities (AAU), Association of Research Libraries (ARL), and Association of University Presses (AUPresses) formally launched TOME in 2017 to collaboratively address this problem.

Open Access Monograph Publishing Initiative

“Implemented in March 2017, this new initiative is intended to advance the wide dissemination of scholarship by humanities and humanistic social sciences faculty members by publishing open-access digital editions of peer-reviewed and professionally edited monographs.

Participating universities and colleges have committed to three components: provide a baseline university publishing grant of $15,000 to support the publication of an open access, digital monograph of 90,000 words or less (with additional funding for works of greater length or complexity to be negotiated by the author, institution, and publisher); set a target of awarding at least three publishing grants per year; and participate in this initiative for five years.

Publishers accepting these grants, for eligible books that have been approved through the usual editorial and peer review processes, will make a high-quality, platform-agnostic, digital edition freely available….”