Baker, Anne-Sophie, and Bernard Larrouturou. 2020.
“Passport for Open Science.” University of Lille.
https://www.ouvrirlascience.fr/passport-for-open-science-a-practical-guide-for-phd-students/.
Baker, M. 2015.
“First Results from Psychology’s Largest Reproducibility Test.” Nature News.
https://doi.org/10.1038/nature.2015.17433.
———. 2017.
“Check Your Chemistry.” Nature 548 (7668): 485–88.
https://doi.org/10.1038/548485a.
Baker, Monya. 2016.
“1,500 Scientists Lift the Lid on Reproducibility.” Nature 533 (7604): 452–54.
https://doi.org/10.1038/533452a.
Barba, L. 2018.
“Terminologies for Reproducible Research.” arXiv Preprint arXiv:1802.03311.
https://arxiv.org/abs/1802.03311.
Barba, Lorena A. 2021.
“Trustworthy Computational Evidence Through Transparency and Reproducibility.” Computing in Science & Engineering 23 (1): 58–64.
https://doi.org/10.1109/MCSE.2020.3048406.
Biggs, John, and Catherine Tang. 2011. Teaching for Quality Learning at University, 4th Edition. Open University Press.
Bion, R, R Chang, and J Goodman. 2018.
“How r Helps Airbnb Make the Most of Its Data.” The American Statistician 72 (1): 46–52.
https://doi.org/10.1080/00031305.2017.1392362.
Bryan, Jenny, and Jim Hester. 2020.
Happy Git and GitHub for the useR.
https://happygitwithr.com/.
Button, KS, JPA Ioannidis, C Mokrysz, BA Nosek, J Flint, ESJ Robinson, and MR Munafò. 2013.
“Power Failure: Why Small Sample Size Undermines the Reliability of Neuroscience.” Nature Reviews Neuroscience 14 (5): 365–76.
https://doi.org/10.1038/nrn3475.
Callaghan, S. 2014.
“Joint Declaration of Data Citation Principles.” https://www.force11.org/datacitationprinciples.
Claerbout, JF, and M Karrenbach. 1992.
“Electronic Documents Give Reproducible Research a New Meaning.” In
SEG Technical Program Expanded Abstracts 1992, 601–4. Society of Exploration Geophysicists.
https://doi.org/10.1190/1.1822162.
Cooper, Natalie, and Pen-Yuah Hsing. 2019.
“Reproducible Code.” British Ecological Society.
https://www.britishecologicalsociety.org/publications/guides-to/.
Donoho, DL, A Maleki, IU Rahman, M Shahram, and V Stodden. 2009.
“Reproducible Research in Computational Harmonic Analysis.” Computing in Science & Engineering 11 (1): 8–18.
https://doi.org/10.1109/MCSE.2009.15.
Editorial. 2021.
“Good Research Begins Long Before Papers Get Written.” Nature 593 (7857): 8–8.
https://doi.org/10.1038/d41586-021-01167-9.
Fanelli, D. 2018.
“Opinion: Is Science Really Facing a Reproducibility Crisis, and Do We Need It To?” Proceedings of the National Academy of Sciences 115 (11): 2628–31.
https://doi.org/10.1073/pnas.1708272114.
Granell, C. 2019.
“Directrices Para Articulos Reproducibles.” https://doi.org/10.17605/OSF.IO/MF9BE.
Granell, C, B Hofer, D Nust, FO Ostermann, and R Sileryte. 2020.
“Reproducibilidad En AGILE: Experiencias, Logros y Recomendaciones.” Revista Cartográfica, no. 100: 155–72.
https://doi.org/10.35424/rcarto.i100.668.
Granell, C, D Nust, FO Ostermann, and R Sileryte. 2018.
“Reproducible Research Is Like Riding a Bike.” PeerJ Preprints 6: e27216v1.
https://doi.org/10.7287/peerj.preprints.27216v1.
Harrison, Kate. 2018.
“Data Management.” British Ecological Society.
https://www.britishecologicalsociety.org/publications/guides-to/.
Hong, NPC, T Crick, IP Gent, L Kotthoff, and K Takeda. 2015.
“Top Tips to Make Your Research Irreproducible.” arXiv Preprint arXiv:1504.00062.
https://arxiv.org/abs/1504.00062.
Ioannidis, JP. 2005.
“Why Most Published Research Findings Are False.” PLOS Medicine 2 (8): e124.
https://doi.org/10.1371/journal.pmed.0020124.
Ioannidis, JP, TD Stanley, and H Doucouliagos. 2017.
“The Power of Bias in Economics Research.” The Economic Journal 127 (605): F236–65.
https://doi.org/10.1111/ecoj.12461.
Jolly, M, AC Fletcher AC, and PE Bourne. 2012.
“Ten Simple Rules to Protect Your Intellectual Property.” PLoS Computacional Biology 8: e1002766.
https://dx.doi.org/10.1371/journal.pcbi.1002766.
Knuth, DE. 1984.
“Literate Programming.” The Computer Journal 11 (2): 97–111.
https://doi.org/10.1093/comjnl/27.2.97.
Leek, JT, and LR Jager. 2017.
“Is Most Published Research Really False?” Annual Review of Statistics and Its Application 4: 109–22.
https://doi.org/10.1146/annurev-statistics-060116-054104.
Macleod, Malcolm, Andrew M. Collings, Chris Graf, Veronique Kiermer, David Mellor, Sowmya Swaminathan, Deborah Sweet, and Valda Vinson. 2021.
“The MDAR (Materials Design Analysis Reporting) Framework for Transparent Reporting in the Life Sciences.” Proceedings of the National Academy of Sciences 118 (17): e2103238118.
https://doi.org/10.1073/pnas.2103238118.
Markowetz, F. 2015.
“Five Selfish Reasons to Work Reproducibly.” Genome Biology 16: 274.
https://doi.org/10.1186/s13059-015-0850-7.
Miralles, Ignacio, Carlos Granell, Laura Díaz-Sanahuja, William Van Woensel, Juana Bretón-López, Adriana Mira, Diana Castilla, and Sven Casteleyn. 2020.
“Smartphone Apps for the Treatment of Mental Disorders: Systematic Review.” JMIR Mhealth Uhealth 8 (4): e14897.
https://doi.org/10.2196/14897.
Morin, A, J Urban, and P Sliz. 2012.
“A Quick Guide to Software Licensing for the Scientist-Programmer.” PLoS Computacional Biology 8 (7): e1002598.
https://dx.doi.org/10.1371/journal.pcbi.1002598.
National Academies of Sciences, Engineering, and Medicine. 2019.
Reproducibility and Replicability in Science. The National Academies Press.
https://doi.org/10.17226/25303.
Nosek, Brian A., and Timothy M. Errington. 2020.
“What is replication?” PLOS Biology 18 (3): e3000691.
https://doi.org/10.1371/journal.pbio.3000691.
Noy, Natasha, and Aleksandr Noy. 2019.
“Let Go of Your Data.” Nature Materials 19 (1): 128–28.
https://doi.org/10.1038/s41563-019-0539-5.
Nust, D, C Granell, B Hofer, M Konkol, FO Ostermann, R Sileryte, and V Cerutti. 2018.
“Reproducible Research and GIScience: An Evaluation Using AGILE Conference Papers.” PeerJ 6: e5072.
https://doi.org/10.7717/peerj.5072.
Nust, D, FO Ostermann, R Sileryte, B Hofer, C Granell, M Teperek, A Graser, K Broman, and K Hettne. 2018.
“AGILE Reproducible Paper Guidelines.” https://doi.org/10.17605/OSF.IO/CB7Z8.
Nüst, Daniel, and Stephen J Eglen. 2021.
“CODECHECK: an Open Science initiative for the independent execution of computations underlying research articles during peer review to improve reproducibility.” F1000Research 10 (March): 253.
https://doi.org/10.12688/f1000research.51738.1.
Ostermann, FO, and C Granell. 2017.
“Advancing Science with VGI: Reproducibility and Replicability of Recent Studies Using VGI.” Transactions in GIS 21 (2): 224–37.
https://doi.org/10.1111/tgis.12195.
Ostermann, Frank, Daniel Nüst, Carlos Granell, Barbara Hofer, and Markus Konkol. 2020.
“Reproducible Research and GIScience: An Evaluation Using GIScience Conference Papers.” California Digital Library (CDL).
https://doi.org/10.31223/x5zk5v.
Parsons, MA, RE Duerr, and MB Jones. 2019.
“The History and Future of Data Citation in Practice.” Data Science Journal 18 (1).
https://doi.org/10.5334/dsj-2019-052.
Peng, RD. 2011.
“Reproducible Research in Computational Science.” Science 334 (6060): 1226–27.
https://doi.org/10.1126/science.1213847.
Perez-Riverol, Y, L Gatto, R Wang, T Sachsenberg, J Uszkoreit, F da Veiga Leprevost, C Fufezan, et al. 2016.
“Ten Simple Rules for Taking Advantage of Git and GitHub.” PLoS Computational Biology 12 (7).
https://doi.org/10.1371/journal.pcbi.1004947.
Rule, A, A Birmingham, C Zuniga, I Altintas, SC Huang, R Knight, N Moshiri, et al. 2019.
“Ten Simple Rules for Reproducible Research in Jupyter Notebooks.” PLoS Computational Biology 15 (7): e1007007.
https://dx.doi.org/10.1371/journal.pcbi.1007007.
Sandve, GK, A Nekrutenko, J Taylor, and E Hovig. 2017.
“Ten Simple Rules for Reproducible Computational Research.” PLoS Computacional Biology 9 (10): e1003285.
https://dx.doi.org/10.1371/journal.pcbi.1003285.
Smith, AM, DS Katz, and KE Niemeyer. 2016.
“Software Citation Principles.” PeerJ Computer Science 2: e86.
https://doi.org/10.7717/peerj-cs.86.
Stark, PB. 2018.
“Before Reproducibility Must Come Preproducibility.” Nature 557 (7706): 613–14.
https://doi.org/10.1038/d41586-018-05256-0.
Stodden, V, and SB Miguez. 2014.
“Best Practices for Computational Science: Software Infrastructure and Environments for Reproducible and Extensible Research.” Journal of Open Research Software 2 (1): e21.
https://doi.org/10.5334/jors.ay.
Tenopir, C, S Allard, K Douglass, AU Aydinoglu, L Wu, E Read, M Manoff, and M Frame. 2011.
“Data Sharing by Scientists: Practices and Perceptions.” PLoS ONE 6 (6): e21101.
https://doi.org/10.1371/journal.pone.0021101.
Tenopir, C, ED Dalton, S Allard, M Frame, I Pjesivac, B Birch, D Pollock, and K Dorsett. 2015.
“Changes in Data Sharing and Data Reuse Practices and Perceptions Among Scientists Worldwide.” PLoS ONE 10 (8): e0134826.
https://doi.org/10.1371/journal.pone.0134826.
Tenopir, C, NM Rice, S Allard, L Baird, J Borycz, L Christian, B Grant, R Olendorf, and RJ Sandusky. 2020.
“Data Sharing, Management, Use, and Reuse: Practices and Perceptions of Scientists Worldwide.” PLoS ONE 15 (3): e0229003.
https://doi.org/10.1371/journal.pone.0229003.
The Turing Way Community, Becky Arnold, Louise Bowler, Sarah Gibson, Patricia Herterich, Rosie Higman, Anna Krystalli, et al. 2019.
“The Turing Way: A Handbook for Reproducible Data Science,” March.
https://doi.org/10.5281/zenodo.3233986.
Vasilevsky, NA, J Minnier, MA Haendel, and RE Champieux. 2017.
“Reproducible and Reusable Research: Are Journal Data Sharing Policies Meeting the Mark?” PeerJ 5: e3208.
https://doi.org/10.7717/peerj.3208.
Wilson, G, J Bryan, K Cranston, J Kitzes, L Nederbragt, and TK Teal. 2017.
“Good Enough Practices in Scientific Computing.” PLoS Computacional Biology 13 (6): e1005510.
https://dx.doi.org/10.1371/journal.pcbi.1005510.
Wilson, Greg. 2019.
Teaching Tech Together: How to Make Lessons That Work and Build a Teaching Community Around It. Taylor & Francis.
https://teachtogether.tech/.
Xie, Y. 2019.
Bookdown: Authoring Books and Technical Documents with r Markdown. CRC Press.
https://bookdown.org/yihui/bookdown/.
Xie, Y, JJ Allaire, and G Grolemund. 2018.
R Markdown: The Definitive Guide. CRC Press.
https://bookdown.org/yihui/rmarkdown/.