Resources for reproducibility chapter

Checklist / Exercise

  • [ ] Define reproducibility for yourself.

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.


  • Baker, M. (2016). 1,500 scientists lift the lid on reproducibility. Nature, 533(7604), 452–454.

  • Barba, L. (2018). Terminologies for Reproducible Research, arXiv preprint:

  • Claerbout, J. F., & Karrenbach, M. (1992). Electronic documents give reproducible research a new meaning. In SEG Technical Program Expanded Abstracts 1992. Society of Exploration Geophysicists.

  • Dirnagl, U., & Lauritzen, M. (2010). Fighting Publication Bias: Introducing the Negative Results Section. Journal of Cerebral Blood Flow & Metabolism, 30(7), 1263–1264.

  • Heroux, M. A., Barba, L., Parashar, M., Stodden, V., & Taufer, M. (2018). Toward a Compatible Reproducibility Taxonomy for Computational and Computing Sciences. Office of Scientific and Technical Information (OSTI).

  • Markowetz, F. (2015). Five selfish reasons to work reproducibly. Genome Biology, 16(1).

  • Piwowar, H. A., Day, R. S., & Fridsma, D. B. (2007). Sharing Detailed Research Data Is Associated with Increased Citation Rate. PLoS ONE, 2(3), e308.

  • Piwowar, H. A., & Vision, T. J. (2013). Data reuse and the open data citation advantage. PeerJ, 1, e175.

  • Whitaker, Kirstie (2018): Barriers to reproducible research (and how to overcome them). figshare. Paper.

Additional material


  • Markowetz, F. (2016). 5 selfish reasons to work reproducibly. Talk at scidata 2016.