pdpp (Principled Data Processing, Python)

pdpp (Principled Data Processing, Python)

pdpp is a Python package that facilitates best practices for reproducible research. It is based on the principles outlined by Patrick Ball of the Human Rights Data Analysis Group. You can learn about principled data processing by reading John McLevey, Pierson Browne, and Tyler Crick's "Reproducibility and Principled Data Processing" in the Routledge Handbook of Computational Social Science. Alternatively, you can read "The Task Is A Quantum Of Workflow" on the Human Rights Data Analysis Group (HRDG) blog, watching this talk by Patrick Ball, both of which heavily inspired the development of this package. 

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Last updated: March 22, 2022

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