These are the codebooks used to extract, construct, and analyse the datasets in Yuvaraj, J., Giblin, R., Russo-Batterham, D., & Grant, G. 'U.S. Copyright Termination Notices 1977-2020: Introducing New Datasets' (forthcoming in the Journal of Empirical Legal Studies).
They were written in Jupyter notebooks using the Python programming language. We also used the numpy, pandas, and matplotlib packages.
The codebooks are intended to be read sequentially, so later notebooks will only have instructions that have not already been set out. While every effort has been made to ensure the notebooks are user-friendly, users are encouraged to contact the corresponding author at firstname.lastname@example.org if any questions arise.
The work was supported by an Australian Government Research Training Program (RTP) Scholarship, the Monash University Graduate Excellence Scholarship, and a Monash University Faculty of Law Top-Up Scholarship, funded by an ARC Future Fellowship provided to Associate Professor Rebecca Giblin (FT170100011).
Reclaiming copyright's lost cultural value for authors and the public