Authors Alliance, Library Copyright Alliance, and American Association of University Professors Petitions for New Exemption to Section 1201 of the DMCA to Enable Text and Data Mining Research

From an Authors Alliance Post:

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.

While the possibilities of text and data mining are great, researchers face limitations in their ability to use the technique. They must either rely on collections of works created by others, which may be missing important, relevant works, or they must build their own collections, a prohibitively time-consuming process in which researchers manually scan printed books or capture video playback in real time.

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