Applied Science Examples

Hao, Q., Smith IV, D. H., Iriumi, N., Tsikerdekis, M., & Ko, A. J. (2019). A Systematic Investigation of Replications in Computing Education Research. ACM Transactions on Computing Education, 19(4), 1–18. https://doi.org/10.1145/3345328
Pouchard, L., Baldwin, S., Elsethagen, T., Jha, S., Raju, B., Stephan, E., … Van Dam, K. K. (2019). Computational reproducibility of scientific workflows at extreme scales. The International Journal of High Performance Computing Applications, 109434201983912. https://doi.org/10.1177/1094342019839124
Govoni, M., Munakami, M., Tanikanti, A., Skone, J. H., Runesha, H. B., Giberti, F., … Galli, G. (2019). Qresp, a tool for curating, discovering and exploring reproducible scientific papers. Scientific Data, 6, 190002. https://doi.org/10.1038/sdata.2019.2
Drummond, C. (2018). Reproducible research: a minority opinion. Journal of Experimental & Theoretical Artificial Intelligence, 30(1), 1–11. https://doi.org/10.1080/0952813X.2017.1413140
Caldwell, A. R., Vigotsky, A. D., Nuckols, G., Boardley, I. D., Schmidt, J., Tenan, M. S., … Halperin, I. (2018). Moving Sport and Exercise Science Forward: A Call for the Adoption of More Transparent Research Practices. Retrieved from https://osf.io/preprints/sportrxiv/fxe7a
Fitzpatrick, B. G. (2018). Issues in Reproducible Simulation Research. Bulletin of Mathematical Biology. https://doi.org/10.1007/s11538-018-0496-1
Schnell, S. (2018). “Reproducible” Research in Mathematical Sciences Requires Changes in our Peer Review Culture and Modernization of our Current Publication Approach. Bulletin of Mathematical Biology. https://doi.org/10.1007/s11538-018-0500-9
Konkol, M., Kray, C., & Pfeiffer, M. (2018). The state of reproducibility in the computational geosciences. https://doi.org/10.17605/OSF.IO/KZU8E
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
Marwick, B. (2017). Computational Reproducibility in Archaeological Research: Basic Principles and a Case Study of Their Implementation. Journal of Archaeological Method and Theory, 24(2), 424–450. https://doi.org/10.1007/s10816-015-9272-9
Madeyski, L., & Kitchenham, B. (2017). Would wider adoption of reproducible research be beneficial for empirical software engineering research? Journal of Intelligent and Fuzzy Systems, 32(2), 1509–1521. https://doi.org/10.3233/JIFS-169146
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
Fehr, J., Heiland, J., Himpe, C., Saak, J., & 1 Institute of Engineering and Computational Mechanics at the University of Stuttgart, Pfaffenwaldring 9, D-70569 Stuttgart, Germany. (2016). Best practices for replicability, reproducibility and reusability of computer-based experiments exemplified by model reduction software. AIMS Mathematics, 1(3), 261–281. https://doi.org/10.3934/Math.2016.3.261
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
Hanisch, R., Hildreth, M., McEwen, L., Stodden, V., Watts, G., Katz, D. S., … Sands, A. E. (2016). Final Report: Workshops to Gauge the Impact of Requirements for Public Access to Data Produced by NSF-­‐funded Research in Mathematics and the. Retrieved from https://mpsopendata.crc.nd.edu/images/Reports/MPS_Workshop_Report_FinalVersion.pdf
Fraser, D. A. S., Bédard, M., Wong, A., Lin, W., & Fraser, A. M. (2016). Bayes, Reproducibility and the Quest for Truth. Statistical Science, 31(4), 578–590. https://doi.org/10.1214/16-STS573
Gibb, B. C. (2014). Reproducibility. Nature Chemistry, 6(8), 653–654. https://doi.org/10.1038/nchem.2017
Garijo, D., Kinnings, S., Xie, L., Xie, L., Zhang, Y., Bourne, P. E., & Gil, Y. (2013). Quantifying reproducibility in computational biology: the case of the tuberculosis drugome. PloS One, 8(11), e80278. https://doi.org/https://dx.doi.org/10.1371/journal.pone.0080278
Howe, B. (2012). Virtual Appliances, Cloud Computing, and Reproducible Research. Computing in Science & Engineering, 14(4), 36–41. https://doi.org/10.1109/MCSE.2012.62
LeVeque, R. J., Mitchell, I. M., & Stodden, V. (2012). Reproducible research for scientific computing: Tools and strategies for changing the culture. Computing in Science & Engineering, 14(4), 13–17. https://doi.org/10.1109/MCSE.2012.38
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