Data Analysis Workflows & Reproducibility Learning Resources
Data Analysis Workflows & Reproducibility Learning Resources
This repository aims to collect resources relating to workflow and tooling choices that promote reproducibility and best practice in data analysis and data science projects.
The resources have been organised as:
- R Packages
- Books
- Papers
- Blog Posts
- Talks and Videos
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R Packages
Package | About | Available on -------|---------|-------------- drake | An R-focused pipeline toolkit for reproducibility and high-performance computing | CRAN ProjectTemplate | ProjectTemplate is a system for automating the thoughtless parts of a data analysis project | CRAN workflowr | A Framework for Reproducible and Collaborative Data Science | CRAN rrtools |Tools for Writing Reproducible Research in R | Github orderly | Lightweight Reproducible Reporting for R | CRAN fnmate | A function definition generator | Github dflow | Automatically setup a drake project | Github represtools | Basic utility functions to support reproducible research | CRAN starters | R Package for initializing projects for various R activities | Github targets | Function-oriented Make-like declarative workflows for R | Github
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Books
Title | Authors | Year ---- | ------ | ----- Agile Data Science with R - A workflow | Edwin Thoen | 2020 What They Forgot to Teach You About R | Jennifer Bryan, Jim Hester | 2020 The Turing Way: A Handbook for Reproducible Data Science | Becky Arnold, Louise Bowler, Sarah Gibson, Patricia Herterich, Rosie Higman, Kirstie Whitaker | 2019
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Papers
Title | Citation --- | ---- Packaging Data Analytical Work Reproducibly Using R (and Friends) | Ben Marwick, Carl Boettiger & Lincoln Mullen (2018) Packaging Data Analytical Work Reproducibly Using R (and Friends), The American Statistician, 72:1, 80-88, DOI: 10.1080/00031305.2017.1375986 Opinionated analysis development | Parker H. 2017. Opinionated analysis development. PeerJ Preprints 5:e3210v1 https://doi.org/10.7287/peerj.preprints.3210v1
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Blog Posts
- Benefits of a function-based diet (The {drake} post) - Miles McBain
- Structuring R Projects
- Using {drake} for Machine Learning
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Talks
- That Feeling of Workflowing - Miles McBain
- Community Call - Reproducible Research with R
- RMarkdown Driven Development - Emily Riederer
- Community Call: Reproducible workflows at scale with drake
- Opinionated Analysis Development
- Will Landau - Reproducible Computation at Scale in R with Targets- New York Open Statistical Programming Meetup from December 2020
- How reproducible am I? A retrospective on a year of commercial data science projects in R - Dean Marchiori
