JUPYTER

step_2_create_dataframes_for_analysis.ipynb (542.11 kB)

JUPYTER

step_3_withdrawals_counters.ipynb (220.58 kB)

JUPYTER

step_4_203_termination_notices.ipynb (1.15 MB)

JUPYTER

step_5_304_termination_notices.ipynb (258.64 kB)

JUPYTER

step_1_scraper.ipynb (774.3 kB)

1/0

5 files

Codebooks for 'U.S. Copyright Termination Notices 1977-2020: Introducing New Datasets'

Version 5 2021-09-03, 03:25

Version 4 2021-07-06, 02:46

Version 3 2021-07-05, 22:33

Version 2 2021-07-05, 22:29

Version 1 2021-07-05, 22:16

online resource

posted on 2021-09-03, 03:25 authored by Joshua Yuvaraj, Rebecca GiblinRebecca Giblin, Daniel Russo-BatterhamDaniel Russo-Batterham

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 joshua.yuvaraj@unimelb.edu.au 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).