All Guidelines

Jamieson, K. H., McNutt, M., Kiermer, V., & Sever, R. (2019). Signaling the trustworthiness of science. Proceedings of the National Academy of Sciences, 116(39), 19231–19236.
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.
Moher, D., Bouter, L., Kleinert, S., Glasziou, P., Sham, M. H., Barbour, V., Coriat, A.-M., Foeger, N., & Dirnagl, U. (2019). The Hong Kong Principles for Assessing Researchers: Fostering Research Integrity [Preprint]. Open Science Framework.
Crüwell, S., Stefan, A. M., & Evans, N. J. (2019). Robust Standards in Cognitive Science. Computational Brain & Behavior.
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.
Zwaan, R., & Eerland, A. (2018). To Have Practical Relevance, Scientific Claims Need to be Accurate [preprint].
Sidi, Y., & Harel, O. (2018). The treatment of incomplete data: Reporting, analysis, reproducibility, and replicability. Social Science and Medicine, March, 0–1.
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.
Berg, J. (2018). Progress on reproducibility. Science, 359(6371), 9.
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.
Barba, L. A., & Thiruvathukal, G. K. (2017). Reproducible Research for Computing in Science & Engineering. Computing in Science & Engineering, 19(6), 85–87.
Seto, M. C. (2017). Enhancing the Reproducibility of Research Findings. Sexual Abuse: A Journal of Research and Treatment, 29(4), 311–312.
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.
Nature. (2017). Announcement: Towards greater reproducibility for life-sciences research in Nature. Nature, 546(7656), 8–8.
Giofrè, D., Cumming, G., Fresc, L., Boedker, I., & Tressoldi, P. (2017). The influence of journal submission guidelines on authors’ reporting of statistics and use of open research practices. PLoS ONE, 12(4), e0175583.
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).
Bernard, C. (2017). Editorial: Code Case - Investigating Transparency and Reproducibility. ENeuro, 4(4).
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.
Kitzes, J., Turek, D., & Deniz, F. (Eds. ). (2017). The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences.
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.
Broman, K., Cetinkaya-Rundel, M., Nussbaum, A., Paciorek, C., Peng, R., Turek, D., & Wickham, H. (2017). Recommendations to Funding Agencies for Supporting Reproducible Research (pp. 1–4).
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
Appleyard, T., Central, B., Nature, S., Brookhart, S., Carpenter, T., Clarke, M., Curry, S., Dahl, J., Analytics, C., Dehaven, A., Eich, E., Franko, M., Freedman, L., Graf, C., Grant, S., Union, A. G., Joseph, H., Resources, A., Kiermer, V., … Stodden, V. (2017). Making Science Transparent By Default; Introducing the TOP Statement. 1–8.
Armstrong, J. S., & Armstrong, J. S. (2017). Guidelines for Science : Evidence and Checklists Guidelines for Science : Evidence and Checklists. July.
Bajpai, V., Munich, T., Kühlewind, M., Zürich, E., Ott, J., Schönwälder, J., Sperotto, A., & Trammell, B. (2017). Challenges with Reproducibility. Reproducibility Workshop, 1–4.
Han, S., Olonisakin, T. F., Pribis, J. P., Zupetic, J., Yoon, J. H., Holleran, K. M., Jeong, K., Shaikh, N., Rubio, D. M., & Lee, J. S. (2017). A checklist is associated with increased quality of reporting preclinical biomedical research : A systematic review. 1–14.
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).
McNutt, M. (2016). Taking up TOP. Science, 352(6290), 1147–1147.
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.