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., Coriat, A.-M., Foeger, N., & 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). 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
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. 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., 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
Kitzes, J., Turek, D., & Deniz, F. (Eds. ). (2017). The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences. https://www.practicereproducibleresearch.org/core-chapters/1-intro.html
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
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). https://www.amstat.org/asa/files/pdfs/POL-ReproducibleResearchRecommendations.pdf
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
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. https://doi.org/10.1145/3097766.3097767
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. 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
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