Resources
Contents
Resources¶
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¶
Baker, M. (2016). 1,500 scientists lift the lid on reproducibility. Nature, 533(7604), 452–454. https://doi.org/10.1038/533452a
Barba, L. (2017): Barba-group Reproducibility Syllabus. figshare. Paper. https://doi.org/10.6084/m9.figshare.4879928.v1
Piwowar, H. A., & Vision, T. J. (2013). Data reuse and the open data citation advantage. PeerJ, 1, e175. https://doi.org/10.7717/peerj.175
Whitaker, Kirstie (2018): Barriers to reproducible research (and how to overcome them). figshare. Paper. https://doi.org/10.6084/m9.figshare.7140050.v2
Additional Material¶
Videos¶
Markowetz, F. (2016). 5 selfish reasons to work reproducibly. Talk at scidata 2016. https://www.youtube.com/watch?v=Is15CMVPHas&feature=youtu.be
Other Useful Links¶
Markowetz, F. (2018). 5 selfish reasons to work reproducibly. Slides available at https://osf.io/a8wq4/
Leipzig, J (2020). Awesome Reproducible Research: A curated list of reproducible research case studies, projects, tutorials, and media. Github repo. https://github.com/leipzig/awesome-reproducible-research