All Disciplinary Guidelines

Feng, X., Park, D. S., Walker, C., Peterson, A. T., Merow, C., & Papeş, M. (2019). A checklist for maximizing reproducibility of ecological niche models. Nature Ecology & Evolution. https://doi.org/10.1038/s41559-019-0972-5
Stojmenovska, D., Bol, T., & Leopold, T. (2019). Teaching Replication to Graduate Students. Teaching Sociology, 0092055X1986799. https://doi.org/10.1177/0092055X19867996
The National Science Foundation, & The Institute of Education Sciences. (2018). Companion Guidelines on Replication & Reproducibility in Education Research: A Supplement to the Common Guidelines for  Education Research and Development. https://ies.ed.gov/pdf/CompanionGuidelinesReplicationReproducibility.pdf
Bøtker, H. E., Hausenloy, D., Andreadou, I., Antonucci, S., Boengler, K., Davidson, S. M., Deshwal, S., Devaux, Y., Di Lisa, F., Di Sante, M., Efentakis, P., Femminò, S., García-Dorado, D., Giricz, Z., Ibanez, B., Iliodromitis, E., Kaludercic, N., Kleinbongard, P., Neuhäuser, M., … Heusch, G. (2018). Practical guidelines for rigor and reproducibility in preclinical and clinical studies on cardioprotection. Basic Research in Cardiology, 113(5), 39. https://doi.org/10.1007/s00395-018-0696-8
Burlig, F. (2018). Improving transparency in observational social science research: A pre-analysis plan approach. Economics Letters, 168, 56–60. https://doi.org/10.1016/J.ECONLET.2018.03.036
Oakden-Rayner, L., Beam, A. L., & Palmer, L. J. (2018). Medical journals should embrace preprints to address the reproducibility crisis. International Journal of Epidemiology. https://doi.org/10.1093/ije/dyy105
Smith, A. J., Clutton, R. E., Lilley, E., Hansen, K. E. A., & Brattelid, T. (2018). PREPARE: guidelines for planning animal research and testing. Laboratory Animals, 52(2), 135–141. https://doi.org/10.1177/0023677217724823
Monroe, K. R. (2018). The Rush to Transparency: DA-RT and the Potential Dangers for Qualitative Research. Perspectives on Politics, 16(01), 141–148. https://doi.org/10.1017/S153759271700336X
Toelch, U., & Ostwald, D. (2018). Digital open science—Teaching digital tools for reproducible and transparent research. PLOS Biology, 16(7), e2006022. https://doi.org/10.1371/journal.pbio.2006022
National Academies of Sciences, Engineering, & Medicine. (2018). Open Science by Design: Realizing a Vision for 21st Century Research. The National Academies Press. https://doi.org/10.17226/25116
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
Nelson, L. D., Simmons, J., & Simonsohn, U. (2018). Psychology’s Renaissance. Annual Review of Psychology, 69(1), annurev–psych–122216–011836. https://doi.org/10.1146/annurev-psych-122216-011836
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
Rudshteyn, B., Acharya, A., & Batista, V. S. (2017). Is the Supporting Information the Venue for Reproducibility and Transparency? The Journal of Physical Chemistry. B, 121(51), 11425–11426. https://doi.org/10.1021/acs.jpcb.7b11664
Wicherts, J. (2017). The Weak Spots in Contemporary Science (and How to Fix Them). Animals, 7(12), 90. https://doi.org/10.3390/ani7120090
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
Gilmore, R. O., Diaz, M. T., Wyble, B. A., & Yarkoni, T. (2017). Progress toward openness, transparency, and reproducibility in cognitive neuroscience. Annals of the New York Academy of Sciences, 1396(1), 5–18. https://doi.org/10.1111/nyas.13325
Steeves, V. (2017). Reproducibility Librarianship. Collaborative Librarianship, 9(2), 80–89. http://digitalcommons.du.edu/collaborativelibrarianship/vol9/iss2/4/
Ihle, M., Winney, I. S., Krystalli, A., & Croucher, M. (2017). Striving for transparent and credible research: Practical guidelines for behavioral ecologists. Behavioral Ecology, 28(2), 348–354. https://doi.org/10.1093/beheco/arx003
Pröll, S., & Rauber, A. (2017). Enabling Reproducibility for Small and Large Scale Research Data Sets. D-Lib Magazine, 23(1/2), 1. https://doi.org/10.1045/january2017-proell
Flier, J. S. (2017). Irreproducibility of published bioscience research: Diagnosis, pathogenesis and therapy (Vol. 6). https://doi.org/10.1016/j.molmet.2016.11.006
Eglen, S. J., Marwick, B., Halchenko, Y. O., Hanke, M., Sufi, S., Gleeson, P., Angus Silver, R., Davison, A. P., Lanyon, L., Abrams, M., Wachtler, T., Willshaw, D. J., Pouzat, C., & Poline, J.-B. (2017). Toward standard practices for sharing computer code and programs in neuroscience. Nature Publishing Group, 20. https://doi.org/10.1038/nn.4550
Society for Industrial and Organizational Psychology. (2017). SIOP 2017 REPRODUCIBLE RESEARCH GUIDELINES. http://www.siop.org/Conferences/17con/cfp/RR_Submission_Guidelines_SIOP17.pdf
Shrout, P. E., & Rodgers, J. L. (2017). Psychology, Science, and Knowledge Construction: Broadening Perspectives from the Replication Crisis. Annual Review of Psychology. https://doi.org/10.1146/annurev-psych-122216-011845
McIntosh, L. D., Juehne, A., Vitale, C. R. H., Liu, X., Alcoser, R., Lukas, J. C., & Evanoff, B. (2017). Repeat: A framework to assess empirical reproducibility in biomedical research. BMC Medical Research Methodology, 17(1), 1–9. https://doi.org/10.1186/s12874-017-0377-6
Denaxas, S., Direk, K., Gonzalez-Izquierdo, A., Pikoula, M., Cakiroglu, A., Moore, J., Hemingway, H., & Smeeth, L. (2017). Methods for enhancing the reproducibility of biomedical research findings using electronic health records. BioData Mining, 10(1), 1–19. https://doi.org/10.1186/s13040-017-0151-7
Finkelstein, B., Silberberg, S., & Crawford, D. (2017). Improving preclinical research through rigorous study design and transparent reporting. MEETING OF THE COUNCIL ON GOVERNMENTAL RELATIONS. http://www.cogr.edu/sites/default/files/Finkelstein rigor.pdf
Bajpai, V., Munich, T., Kühlewind, M., Zürich, E., Ott, J., Schönwälder, J., Sperotto, A., & Trammell, B. (2017). Challenges with Reproducibility. Reproducibility Workshop, 1–4. https://doi.org/10.1145/3097766.3097767
Casadevall, A., & Fang, F. C. (2016). Rigorous science: A how-to guide. MBio, 7(6), e01902–16. https://doi.org/10.1128/mBio.01902-16
Snyder, H. M., Shineman, D. W., Friedman, L. G., Hendrix, J. A., Khachaturian, A., Le Guillou, I., Pickett, J., Refolo, L., Sancho, R. M., & Ridley, S. H. (2016). Guidelines to improve animal study design and reproducibility for Alzheimer’s disease and related dementias: For funders and researchers. Alzheimer’s and Dementia, 12(11), 1177–1185. https://doi.org/10.1016/j.jalz.2016.07.001
Weissgerber, T. L., Garovic, V. D., Winham, S. J., Milic, N. M., & Prager, E. M. (2016). Transparent reporting for reproducible science. Journal of Neuroscience Research, 94(10), 859–864. https://doi.org/10.1002/jnr.23785
Drucker, D. J. (2016). Never Waste a Good Crisis: Confronting Reproducibility in Translational Research (Vol. 24). https://doi.org/10.1016/j.cmet.2016.08.006
Lakens, D., Hilgard, J., & Staaks, J. (2016). On the reproducibility of meta-analyses: six practical recommendations. BMC Psychology, 4(1), 24. https://doi.org/10.1186/s40359-016-0126-3
Daugherty, A., Hegele, R. A., Mackman, N., Rader, D. J., Schmidt, A. M., & Weber, C. (2016). Complying with the National Institutes of Health Guidelines and Principles for Rigor and Reproducibility: Refutations. Arteriosclerosis, Thrombosis, and Vascular Biology, 36(7), 1303–1304. https://doi.org/10.1161/ATVBAHA.116.307906
Sahoo, S. S., Valdez, J., & Rueschman, M. (2016). Scientific Reproducibility in Biomedical Research: Provenance Metadata Ontology for Semantic Annotation of Study Description. AMIA Annual Symposium Proceedings, 2016, 1070. http://www.ncbi.nlm.nih.gov/pubmed/28269904 http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC5333253 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333253/
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
REPRODUCIBILITY AND RIGOR IN REE’s PORTFOLIO OF RESEARCH. (2016). Research, Education, and Economics National Agricultural Research, Extension, Education, and Econmics Advisory Board Science Advisory Council. https://www.usda.gov/sites/default/files/documents/nareeeab-reproducibility-rigor-report.pdf
Marquis, M., Hall, L., Hemami, S., Setti, G., Forster, M., Grenier, G., Zappulla, F., Keaton, J., Mccormick, D., & Moore, K. (2016). Report on the First IEEE Workshop on The Future of Research Curation and Research Reproducibility. http://www.ieee.org/publications_standards/publications/ieee_workshops/ieee_reproducibility_workshop_report_final.pdf
Coyne, J. C. (2016). Replication initiatives will not salvage the trustworthiness of psychology. BMC Psychology, 4(1). https://doi.org/10.1186/s40359-016-0134-3
Open Science Collaboration. (2016). Psychological science under scrutiny: Recent challenges and proposed solutions. Psychological Science under Scrutiny: Recent Challenges and Proposed Solutions, 1–26. https://doi.org/10.1002/9781119095910
Waltemath, D., & Wolkenhauer, O. (2016). How Modeling Standards, Software, and Initiatives Support Reproducibility in Systems Biology and Systems Medicine. IEEE Transactions on Bio-Medical Engineering, 63(10), 1999–2006. https://doi.org/10.1109/TBME.2016.2555481
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
Federation of American Societies for Experimental Biology. (2016). Enhancing Research Reproducibility: Recommendations from the Federation of American Societies for Experimental Biology. 4(2), 12. http://www.faseb.org/Portals/2/PDFs/opa/2016/FASEB_Enhancing Research Reproducibility.pdf
Gorgolewski, K. J., & Poldrack, R. A. (2016). A Practical Guide for Improving Transparency and Reproducibility in Neuroimaging Research. PLoS Biology. https://doi.org/10.1371/journal.pbio.1002506
Frye, S. V., Arkin, M. R., Arrowsmith, C. H., Conn, P. J., Glicksman, M. A., Hull-Ryde, E. A., & Slusher, B. S. (2015). Tackling reproducibility in academic preclinical drug discovery. Nature Reviews Drug Discovery. https://doi.org/10.1038/nrd4737
Freedman, L. P., Cockburn, I. M., & Simcoe, T. S. (2015). The economics of reproducibility in preclinical research. PLoS Biology, 13(6), 1–9. https://doi.org/10.1371/journal.pbio.1002165
The Academy of Medical Sciences. (2015). Reproducibility and reliability of biomedical research: improving research practice. Symposium Report, October. https://acmedsci.ac.uk/viewFile/56314e40aac61.pdf
Society, T. B., & Materials, D. (2015). Guidelines for the Reproducibility of Biophysics Research. July, 1–4. http://www.cell.com/pb/assets/raw/journals/society/biophysj/PDFs/reproducibility-guidelines.pdf
Schooler, J. W. (2014). Metascience could rescue the “replication crisis”. Nature, 515(7525), 9. https://doi.org/10.1038/515009a
Thayer, K. A., Wolfe, M. S., Rooney, A. A., Boyles, A. L., Bucher, J. R., & Birnbaum, L. S. (2014). Intersection of systematic review methodology with the NIH reproducibility initiative. Environmental Health Perspectives, 122(7), A176–7. https://doi.org/10.1289/ehp.1408671