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. https://doi.org/10.1073/pnas.1913039116
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
Moher, D., Bouter, L., Kleinert, S., Glasziou, P., Sham, M. H., Barbour, V., … Dirnagl, U. (2019). The Hong Kong Principles for Assessing Researchers: Fostering Research Integrity (preprint). Open Science Framework. https://doi.org/10.31219/osf.io/m9abx
Crüwell, S., Stefan, A. M., & Evans, N. J. (2019). Robust Standards in Cognitive Science. Computational Brain & Behavior. https://doi.org/10.1007/s42113-019-00049-8
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, November 28). Companion Guidelines on Replication & Reproducibility in Education Research: A Supplement to the Common Guidelines for  Education Research and Development. Retrieved from https://ies.ed.gov/pdf/CompanionGuidelinesReplicationReproducibility.pdf
Bøtker, H. E., Hausenloy, D., Andreadou, I., Antonucci, S., Boengler, K., Davidson, S. 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. Washington, D.C.: The National Academies Press. https://doi.org/10.17226/25116
Zwaan, R., & Eerland, A. (2018). To Have Practical Relevance, Scientific Claims Need to be Accurate [preprint]. https://doi.org/10.17605/OSF.IO/KQES9
Sidi, Y., & Harel, O. (2018). The treatment of incomplete data: Reporting, analysis, reproducibility, and replicability. Social Science and Medicine, (March), 0–1. https://doi.org/10.1016/j.socscimed.2018.05.037
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
Berg, J. (2018). Progress on reproducibility. Science, 359(6371), 9. https://doi.org/10.1126/science.aar8654
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
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
Seto, M. C. (2017). Enhancing the Reproducibility of Research Findings. Sexual Abuse: A Journal of Research and Treatment, 29(4), 311–312. https://doi.org/10.1177/1079063217711288
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
Nature. (2017). Announcement: Towards greater reproducibility for life-sciences research in Nature. Nature, 546(7656), 8–8. https://doi.org/10.1038/546008a
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. https://doi.org/10.1371/journal.pone.0175583
Steeves, V. (2017). Reproducibility Librarianship. Collaborative Librarianship, 9(2), 80–89. Retrieved from 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
Bernard, C. (2017). Editorial: Code Case - Investigating Transparency and Reproducibility. ENeuro, 4(4). https://doi.org/10.1523/ENEURO.0233-17.2017
Eglen, S. J., Marwick, B., Halchenko, Y. O., Hanke, M., Sufi, S., Gleeson, P., … 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
Kitzes, J., Turek, D., & Deniz, F. (Eds. . (2017). The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences. Retrieved from https://www.practicereproducibleresearch.org/core-chapters/1-intro.html
Society for Industrial and Organizational Psychology. (2017). SIOP 2017 REPRODUCIBLE RESEARCH GUIDELINES. Retrieved from 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
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). Retrieved from https://www.amstat.org/asa/files/pdfs/POL-ReproducibleResearchRecommendations.pdf
Denaxas, S., Direk, K., Gonzalez-Izquierdo, A., Pikoula, M., Cakiroglu, A., Moore, J., … 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. In MEETING OF THE COUNCIL ON GOVERNMENTAL RELATIONS. Washington, DC. Retrieved from http://www.cogr.edu/sites/default/files/Finkelstein rigor.pdf
Appleyard, T., Central, B., Nature, S., Brookhart, S., Carpenter, T., Clarke, M., … 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., … Trammell, B. (2017). Challenges with Reproducibility. Reproducibility Workshop, 1–4. https://doi.org/10.1145/3097766.3097767
Han, S., Olonisakin, T. F., Pribis, J. P., Zupetic, J., Yoon, J. H., Holleran, K. 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. 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., … 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
McNutt, M. (2016). Taking up TOP. Science, 352(6290), 1147–1147. https://doi.org/10.1126/science.aag2359
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