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.
Stojmenovska, D., Bol, T., & Leopold, T. (2019). Teaching Replication to Graduate Students. Teaching Sociology, 0092055X1986799.
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.
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.
Burlig, F. (2018). Improving transparency in observational social science research: A pre-analysis plan approach. Economics Letters, 168, 56–60.
Oakden-Rayner, L., Beam, A. L., & Palmer, L. J. (2018). Medical journals should embrace preprints to address the reproducibility crisis. International Journal of Epidemiology.
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.
Monroe, K. R. (2018). The Rush to Transparency: DA-RT and the Potential Dangers for Qualitative Research. Perspectives on Politics, 16(01), 141–148.
Toelch, U., & Ostwald, D. (2018). Digital open science—Teaching digital tools for reproducible and transparent research. PLOS Biology, 16(7), e2006022.
National Academies of Sciences, Engineering, & Medicine. (2018). Open Science by Design: Realizing a Vision for 21st Century Research. The National Academies Press.
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.
Nelson, L. D., Simmons, J., & Simonsohn, U. (2018). Psychology’s Renaissance. Annual Review of Psychology, 69(1), 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.
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.
Wicherts, J. (2017). The Weak Spots in Contemporary Science (and How to Fix Them). Animals, 7(12), 90.
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.
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.
Steeves, V. (2017). Reproducibility Librarianship. Collaborative Librarianship, 9(2), 80–89.
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.
Pröll, S., & Rauber, A. (2017). Enabling Reproducibility for Small and Large Scale Research Data Sets. D-Lib Magazine, 23(1/2), 1.
Flier, J. S. (2017). Irreproducibility of published bioscience research: Diagnosis, pathogenesis and therapy (Vol. 6).
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.
Society for Industrial and Organizational Psychology. (2017). SIOP 2017 REPRODUCIBLE RESEARCH GUIDELINES.
Shrout, P. E., & Rodgers, J. L. (2017). Psychology, Science, and Knowledge Construction: Broadening Perspectives from the Replication Crisis. Annual Review of Psychology.
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.
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.
Finkelstein, B., Silberberg, S., & Crawford, D. (2017). Improving preclinical research through rigorous study design and transparent reporting. MEETING OF THE COUNCIL ON GOVERNMENTAL RELATIONS. 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.
Casadevall, A., & Fang, F. C. (2016). Rigorous science: A how-to guide. MBio, 7(6), e01902–16.
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.
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.
Drucker, D. J. (2016). Never Waste a Good Crisis: Confronting Reproducibility in Translational Research (Vol. 24).
Lakens, D., Hilgard, J., & Staaks, J. (2016). On the reproducibility of meta-analyses: six practical recommendations. BMC Psychology, 4(1), 24.
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.
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.
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.
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.
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.
Coyne, J. C. (2016). Replication initiatives will not salvage the trustworthiness of psychology. BMC Psychology, 4(1).
Open Science Collaboration. (2016). Psychological science under scrutiny: Recent challenges and proposed solutions. Psychological Science under Scrutiny: Recent Challenges and Proposed Solutions, 1–26.
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.
Wilson, G., Bryan, J., Cranston, K., Kitzes, J., Nederbragt, L., & Teal, T. K. (2016). Good enough practices in scientific computing. PLoS Computational Biology.
Federation of American Societies for Experimental Biology. (2016). Enhancing Research Reproducibility: Recommendations from the Federation of American Societies for Experimental Biology. 4(2), 12. Research Reproducibility.pdf
Gorgolewski, K. J., & Poldrack, R. A. (2016). A Practical Guide for Improving Transparency and Reproducibility in Neuroimaging Research. PLoS Biology.
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.
Freedman, L. P., Cockburn, I. M., & Simcoe, T. S. (2015). The economics of reproducibility in preclinical research. PLoS Biology, 13(6), 1–9.
The Academy of Medical Sciences. (2015). Reproducibility and reliability of biomedical research: improving research practice. Symposium Report, October.
Society, T. B., & Materials, D. (2015). Guidelines for the Reproducibility of Biophysics Research. July, 1–4.
Schooler, J. W. (2014). Metascience could rescue the “replication crisis”. Nature, 515(7525), 9.
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.