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Resources

For additional resources like videos and reference papers on reproducibility, see the Further Reading and Additional Material sections.

What to Learn Next?

Open Research would be a good chapter to read next. If you want to start learning hands-on practices, we recommend reading the Version Control chapter next.

Further Reading

Additional Material

Using the command line

While most of what this book is about does not require the use of the command line, it often actually makes things easier. Writing commands in the terminal, PowerShell, command-line, or command prompt provides an alternative means of interacting with the computer. It offers several advantages and can be considered a beneficial approach for various reasons, including efficiency, independence on graphical user interfaces, flexibility, automation of tasks. Often, advanced tasks or options are only available as command line tools (for example advanced git, datalad. You first need to know that linux and OSX use bash code natively, while the command line in windows uses batch script, which is a different language.

List of some tools and training materials for using the command-line:

Some nice-to-know tips:

Reproducibility

Data Science

References
  1. Baker, M. (2016). 1,500 scientists lift the lid on reproducibility. Nature, 533(7604), 452–454. 10.1038/533452a
  2. Barba, L. A. (2017). Barba-group Reproducibility Syllabus. 10.6084/M9.FIGSHARE.4879928.V1
  3. Piwowar, H. A., & Vision, T. J. (2013). Data reuse and the open data citation advantage. PeerJ. 10.7717/peerj.175
  4. Whitaker, K. (2018). Barriers to reproducible research (and how to overcome them). 10.6084/M9.FIGSHARE.7140050.V2