This is a cookiecutter template for research projects. It aims at projects which involve computation of results or some kind of data analysis and where the results are then described in a scientific article using figures, tables and single values.

The cookiecutter template is mostly based on drivendata/cookiecutter-data-science/. Some choices are inspired by other articles (see references).

After installing cookiecutter run:

cookiecutter https://github.com/inwe-boku/cookiecutter-data-research

1. G. Wilson, J. Bryan, K. Cranston, J. Kitzes, L. Nederbragt, and T. K. Teal, "Good enough practices in scientific computing," PLOS Computational Biology, vol. 13, no. 6, p. e1005510, Jun. 2017, doi: 10.1371/journal.pcbi.1005510.

2. W. S. Noble, "A Quick Guide to Organizing Computational Biology Projects," PLOS Computational Biology, vol. 5, no. 7, p. e1000424, Jul. 2009, doi: 10.1371/journal.pcbi.1000424.

3. "Cookiecutter Data Science." https://drivendata.github.io/cookiecutter-data-science/