The Copyright Office collaborates with law professors and law students on specific copyright-related research and writing projects that serve existing needs of the Office. Such projects, which may involve a small group of students, are carefully selected and structured and are typically undertaken or supervised by a faculty member working in conjunction with the Office.
Law school faculty who are experienced in copyright law and interested in pursuing such a project should contact the Copyright Office at LawProgramInfo@loc.gov or 202-707-8350 to obtain further information.
Past and current partnerships include:
Stanford Law School
In the 2013-14 academic year, Stanford Law School students working under the guidance of Professors Paul Goldstein and Luciana Herman studied issues relating to the Office’s recordation function and produced a highly informative report concerning how that function might be transformed in the future. The report served as the basis of written proposals submitted by the Stanford team as part of the Office’s public proceeding to consider the reengineering of its recordation system, as well as a student representative’s participation in a related hearing conducted by the Office. The Stanford students’ written submission is available at http://copyright.gov/docs/recordation/comments/79fr2696/Stanford_Law_School.pdf.
For the 2014-15 academic year, the Office is pleased to continue its partnership with Stanford Law School, focusing on a new project to assemble information concerning marketplace resources for the licensing of photographs and the data standards relied upon by copyright owners and licensees to engage in such transactions.
George Washington University and the University of Virginia
Professors Robert Brauneis of the George Washington University Law School, Dotan Oliar of the University of Virginia School of Law, and their law students are working on the release of one or more datasets based on the Copyright Office Electronic Catalog. That catalog consists of more than 26 million records of registrations, deposits, and recorded documents from 1978 to the present. The records are stored in Machine Readable Cataloging (MARC) format, which is not designed for statistical analysis, and there is little documentation for them available. The datasets will be released in a “comma separated values” format that should be able to be imported into all statistical analysis programs, and accompanied by documentation detailing all field definitions.