Applied Science Guidelines

Granell, C., Hofer, B., Konkol, M., Ostermann, F., Sileryte, R., & Cerutti, V. (2018). Reproducible research and GIScience: an Evaluation using AGILE conference papers, (November 2017), 1–23. https://doi.org/10.7287/peerj.preprints.26561v1
Stodden, V., Seiler, J., & Ma, Z. (2018). An empirical analysis of journal policy effectiveness for computational reproducibility. Proceedings of the National Academy of Sciences, 115(11), 2584–2589. https://doi.org/10.1073/pnas.1708290115
Barba, L. A., & Thiruvathukal, G. K. (2017). Reproducible Research for Computing in Science & Engineering. Computing in Science & Engineering, 19(6), 85–87. https://doi.org/10.1109/MCSE.2017.3971172
Bajpai, V., Munich, T., Kühlewind, M., Zürich, E., Ott, J., Schönwälder, J., … Trammell, B. (2017). Challenges with Reproducibility. Reproducibility Workshop, 1–4. https://doi.org/10.1145/3097766.3097767
McDougal, R. A., Bulanova, A. S., & Lytton, W. W. (2016). Reproducibility in Computational Neuroscience Models and Simulations. IEEE Transactions on Biomedical Engineering, 63(10), 2021–2035. https://doi.org/10.1109/TBME.2016.2539602
Marquis, M., Hall, L., Hemami, S., Setti, G., Forster, M., Grenier, G., … Moore, K. (2016). Report on the First IEEE Workshop on The Future of Research Curation and Research Reproducibility. Retrieved from http://www.ieee.org/publications_standards/publications/ieee_workshops/ieee_reproducibility_workshop_report_final.pdf
Wilson, G., Bryan, J., Cranston, K., Kitzes, J., Nederbragt, L., & Teal, T. K. (2016). Good enough practices in scientific computing. PLoS Computational Biology. https://doi.org/10.1371/journal.pcbi.1005510
Stodden, V., Bailey, D. H., Borwein, J. M., LeVeque, R. J., Rider, W., & Stein, W. (2014). Setting the Default to Reproducible Reproducibility in Computational and Experimental Mathematics. Retrieved from http://stodden.net/icerm_report.pdf
Sandve, G. K., Nekrutenko, A., Taylor, J., & Hovig, E. (2013). Ten Simple Rules for Reproducible Computational Research. PLoS Computational Biology, 9(10). https://doi.org/10.1371/journal.pcbi.1003285
Schwab, M., Karrenbach, N., & Claerbout, J. (2000). Making scientific computations reproducible. Computing in Science & Engineering, 2(6), 61–67. https://doi.org/10.1109/5992.881708