Referências
Albano, C. S., Pedroso, P. de O., & Caetano, D. O. (2023).
Ciência Aberta: Um Panorama sobre
as Publicações no Cenário Brasileiro. Saber
Científico, 12(1), 1–12.
Alessandroni, N., & Byers-Heinlein, K. (2022). Ten Strategies to
Foster Open Science in Psychology and Beyond. Collabra:
Psychology, 8(1), 57545. https://doi.org/10.1525/collabra.57545
Baker, D. H., Berg, M., Hansford, K., Quinn, B. P. A., Segala, F. G.,
& English, E. (2023). ReproduceMe: Lessons from a
pilot project on computational reproducibility [Preprint].
PsyArXiv. https://doi.org/10.31234/osf.io/k8d4u
Baker, M. (2016). 1,500 scientists lift the lid on reproducibility.
Nature, 533(7604), 452–454. https://doi.org/10.1038/533452a
Behera, P. K., & Jain, S. J. (2023). Zotero – an open-source
reference management software: A practical manual. OSF. https://doi.org/10.17605/OSF.IO/8S73R
Bernard, C. (2023). Stop Reproducing the
Reproducibility Crisis. Eneuro, 10(2),
ENEURO.0032–23.2023. https://doi.org/10.1523/ENEURO.0032-23.2023
Bezjak, S., Clyburne-Sherin, A., Conzett, P., Fernandes, P., Görögh, E.,
Helbig, K., Kramer, B., Labastida, I., Niemeyer, K., Psomopoulos, F.,
Ross-Hellauer, T., Schneider, R., Tennant, J., Verbakel, E., Brinken,
H., & Heller, L. (2018). Open Science Training
Handbook. Zenodo. https://doi.org/10.5281/ZENODO.1212496
Braga, P. H. P., Hébert, K., Hudgins, E. J., Scott, E. R., Edwards, B.
P. M., Sánchez Reyes, L. L., Grainger, M. J., Foroughirad, V.,
Hillemann, F., Binley, A. D., Brookson, C. B., Gaynor, K. M., Shafiei
Sabet, S., Güncan, A., Weierbach, H., Gomes, D. G. E., &
Crystal-Ornelas, R. (2023). Not just for programmers: How GitHub can
accelerate collaborative and reproducible research in ecology and
evolution. Methods in Ecology and Evolution, 14(6),
1364–1380. https://doi.org/10.1111/2041-210X.14108
Broman, K. W., & Woo, K. H. (2018). Data organization in
spreadsheets. The American Statistician, 72(1), 2–10.
https://doi.org/10.1080/00031305.2017.1375989
Bryan, J. (2018). Excuse me, do you have a moment to talk about version
control? The American Statistician, 72(1), 20–27. https://doi.org/10.1080/00031305.2017.1399928
Caballero-Rivero, A., Sánchez-Tarragó, N., & Santos, R. N. M. dos.
(2019). Práticas de Ciência Aberta da
comunidade acadêmica brasileira: estudo a partir da
produção científica.
Transinformação, 31,
e190029. https://doi.org/10.1590/2318-0889201931e190029
Chopik, W. J., Bremner, R. H., Defever, A. M., & Keller, V. N.
(2018). How (and Whether) to Teach Undergraduates
About the Replication Crisis in Psychological
Science. Teaching of Psychology, 45(2),
158–163. https://doi.org/10.1177/0098628318762900
Clyburne-Sherin, A., Fei, X., & Green, S. A. (2019). Computational
Reproducibility via Containers in
Psychology. Meta-Psychology, 3. https://doi.org/10.15626/MP.2018.892
Committee on Reproducibility and Replicability in Science, Board on
Behavioral, Cognitive, and Sensory Sciences, Committee on National
Statistics, Division of Behavioral and Social Sciences and Education,
Nuclear and Radiation Studies Board, Division on Earth and Life Studies,
Board on Mathematical Sciences and Analytics, Committee on Applied and
Theoretical Statistics, Division on Engineering and Physical Sciences,
Board on Research Data and Information, Committee on Science,
Engineering, Medicine, and Public Policy, Policy and Global Affairs,
& National Academies of Sciences, Engineering, and Medicine. (2019).
Reproducibility and Replicability in
Science (p. 25303). National Academies Press. https://doi.org/10.17226/25303
Crüwell, S., Van Doorn, J., Etz, A., Makel, M. C., Moshontz, H.,
Niebaum, J. C., Orben, A., Parsons, S., & Schulte-Mecklenbeck, M.
(2019). Seven Easy Steps to Open Science:
An Annotated Reading List. Zeitschrift für
Psychologie, 227(4), 237–248. https://doi.org/10.1027/2151-2604/a000387
Dogucu, M., & Çetinkaya-Rundel, M. (2022). Tools and
Recommendations for Reproducible Teaching.
Journal of Statistics and Data Science Education,
30(3), 251–260. https://doi.org/10.1080/26939169.2022.2138645
Domingos, A., & Batista, I. R. (2021). A map for transparency and
replicability in empirical social science: The TIER protocol.
Revista Política Hoje, 30(1), 40–86. https://doi.org/10.51359/1808-8708.2021.245776
European Commission. Directorate General for Research and Innovation.
(2017). Providing researchers with the skills and competencies they
need to practise Open Science. Publications Office. https://data.europa.eu/doi/10.2777/121253
Fanelli, D. (2018). Is science really facing a reproducibility crisis,
and do we need it to? Proceedings of the National Academy of
Sciences, 115(11), 2628–2631. https://doi.org/10.1073/pnas.1708272114
Freedman, L. P., Cockburn, I. M., & Simcoe, T. S. (2015). The
Economics of Reproducibility in
Preclinical Research. PLOS Biology,
13(6), e1002165. https://doi.org/10.1371/journal.pbio.1002165
Gilroy, S. P., & Kaplan, B. A. (2019). Furthering Open
Science in Behavior Analysis: An
Introduction and Tutorial for Using
GitHub in Research. Perspectives on Behavior
Science, 42(3), 565–581. https://doi.org/10.1007/s40614-019-00202-5
Heinz, M., & Miranda, M. (2024). Ciência
Aberta: Argumentos e desafios para sua
legitimação científica. Em
Questão, 30. https://doi.org/10.1590/1808-5245.30.135618
Hertz, M. I., & McNeill, A. S. (2024). Eleven quick tips for
properly handling tabular data. PLOS Computational Biology,
20(11), e1012604. https://doi.org/10.1371/journal.pcbi.1012604
Janz, N. (2015). Bringing the Gold Standard into the
Classroom: Replication in University
Teaching. International Studies Perspectives, n/a–n/a.
https://doi.org/10.1111/insp.12104
Kathawalla, U.-K., Silverstein, P., & Syed, M. (2021). Easing
Into Open Science: A Guide for Graduate
Students and Their Advisors. Collabra:
Psychology, 7(1), 18684. https://doi.org/10.1525/collabra.18684
Klein, O., Hardwicke, T. E., Aust, F., Breuer, J., Danielsson, H., Mohr,
A. H., IJzerman, H., Nilsonne, G., Vanpaemel, W., & Frank, M. C.
(2018). A Practical Guide for Transparency in
Psychological Science. Collabra: Psychology,
4(1), 20. https://doi.org/10.1525/collabra.158
Li, L., Parulian, N., & Ludäscher, B. (2021). Automatic Module
Detection in Data Cleaning Workflows: Enabling Transparency and Recipe
Reuse. International Journal of Digital Curation,
16(1), 11–11. https://doi.org/10.2218/ijdc.v16i1.771
Limongi, R., & Rogers, P. (2025a). Open science in three acts:
Foundations, practice, and implementation - first act. BAR -
Brazilian Administration Review, 22(1), e250079. https://doi.org/10.1590/1807-7692bar2025250079
Limongi, R., & Rogers, P. (2025b). Open science in three acts:
Foundations, practice, and implementation - second act. BAR -
Brazilian Administration Review, 22(2), e250116. https://doi.org/10.1590/1807-7692bar2025250116
McAleer, P., Stack, N., Woods, H., DeBruine, L. M., Paterson, H.,
Nordmann, E., Kuepper-Tetzel, C. E., & Barr, D. J. (2022).
Embedding Data Skills in Research Methods
Education: Preparing Students for Reproducible
Research [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/hq68s
Mendes-Da-Silva, W. (2023). What Lectures and
Research in Business Management Need to
Know About Open Science. Revista de
Administração de Empresas,
63(4), e0000–0033. https://doi.org/10.1590/s0034-759020230408x
Moreau, D., Wiebels, K., & Boettiger, C. (2023). Containers for
computational reproducibility. Nature Reviews Methods Primers,
3(1), 50. https://doi.org/10.1038/s43586-023-00236-9
Munafò, M. R., Nosek, B. A., Bishop, D. V. M., Button, K. S., Chambers,
C. D., Percie Du Sert, N., Simonsohn, U., Wagenmakers, E.-J., Ware, J.
J., & Ioannidis, J. P. A. (2017). A manifesto for reproducible
science. Nature Human Behaviour, 1(1), 0021. https://doi.org/10.1038/s41562-016-0021
Neto, S. C., Willinsky, J., & Alperin, J. P. (2016). Measuring,
rating, supporting, and strengthening open access scholarly publishing
in Brazil. Education Policy Analysis Archives,
24, 54–54. https://doi.org/10.14507/epaa.24.2391
Oddone, N., & Souza, L. V. R. L. (2024). Acesso ao conhecimento no
contexto da ciência aberta: O segredo da popularidade do sci-hub.
Revista Digital de Biblioteconomia e Ciência Da Informação,
22. https://doi.org/https://doi.org/10.20396/rdbci.v22i00.8673883
Olson, E., Pfeiffer, N., Call, M., & Steger, D. (2022). Getting
started on OSF. https://doi.org/10.17605/OSF.IO/YAQE8
Proske, A., Wenzel, C., & Queitsch, M. B. (2023). Reference
management systems. In O. Kruse, C. Rapp, C. M. Anson, K. Benetos, E.
Cotos, A. Devitt, & A. Shibani (Eds.), Digital writing
technologies in higher education (pp. 215–230). Springer
International Publishing. https://doi.org/10.1007/978-3-031-36033-6_14
Protzko, J., Krosnick, J., Nelson, L., Nosek, B. A., Axt, J., Berent,
M., Buttrick, N., DeBell, M., Ebersole, C. R., Lundmark, S., MacInnis,
B., O’Donnell, M., Perfecto, H., Pustejovsky, J. E., Roeder, S. S.,
Walleczek, J., & Schooler, J. W. (2023). High replicability of newly
discovered social-behavioural findings is achievable. Nature Human
Behaviour. https://doi.org/10.1038/s41562-023-01749-9
Pruim, R., Gîrjău, M.-C., & Horton, N. J. (2023). Fostering better
coding practices for data scientists. Harvard Data Science
Review, 5(3). https://doi.org/10.1162/99608f92.97c9f60f
Ram, K. (2013). Git can facilitate greater reproducibility and increased
transparency in science. Source Code for Biology and Medicine,
8(7), 8. https://doi.org/10.1186/1751-0473-8-7
Rezende, L. V. R., & Falgueras, E. A. (2020). Estado da arte dos
marcos regulatórios brasileiros rumo à Ciência Aberta. Encontros Bibli: Revista
Eletrônica de Biblioteconomia e Ciência Da
Informação, 25, 01–25. https://doi.org/10.5007/1518-2924.2020.e71370
Rodrigues, B. (2023). Building reproducible analytical pipelines
with r. https://raps-with-r.dev/
Rogers, P., & Limongi, R. (2025). Open science in three acts:
Foundations, practice, and implementation - third act. BAR -
Brazilian Administration Review, 22(3), e250162. https://doi.org/10.1590/1807-7692bar2025250162
Sampaio, R. C., Sabbatini, M., & Limongi, R. (2024). Diretrizes
para o uso ético e responsável da inteligência artificial generativa: Um
guia prático para pesquisadores. Sociedade Brasileira de Estudos
Interdisciplinares da Comunicação - Intercom. https://portcom.intercom.org.br/ebooks/detalheEbook.php?id=57203
Scroggie, K., Burrell-Sander, K., Rutledge, P., & Motion, A. (2023).
GitHub as an open electronic laboratory notebook for real-time
sharing of knowledge and collaboration. https://doi.org/10.1039/D3DD00032J
Silva, F. C. C. D., & Silveira, L. D. (2019). O ecossistema da Ciência Aberta.
Transinformação, 31,
e190001. https://doi.org/10.1590/2318-0889201931e190001
Silveira, L. D., Calixto Ribeiro, N., Melero, R., Mora-Campos, A.,
Piraquive-Piraquive, D. F., Uribe Tirado, A., Machado Borges Sena, P.,
Polanco Cortés, J., Santillán-Aldana, J., Couto Corrêa Da Silva, F.,
Ferreira Araújo, R., Enciso Betancourt, A. M., & Fachin, J. (2023).
Taxonomia da Ciência
Aberta: Revisada e ampliada. Encontros Bibli: Revista
Eletrônica de Biblioteconomia e Ciência Da
Informação, 28. https://doi.org/10.5007/1518-2924.2023.e91712
Soderberg, C. K. (2018). Using OSF to share data: A step-by-step guide.
Advances in Methods and Practices in Psychological Science,
1(1), 115–120. https://doi.org/10.1177/2515245918757689
Sullivan, I., DeHaven, A., & Mellor, D. (2019). Open and
reproducible research on open science framework. Current Protocols
Essential Laboratory Techniques, 18(1), e32. https://doi.org/10.1002/cpet.32
Thomas, P. A. (2023). Using zotero for citation management: A
step-by-step guide to organizing and citing your research.
University of Kansas Libraries. https://kuscholarworks.ku.edu/handle/1808/34983
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
Vicente-Saez, R., & Martinez-Fuentes, C. (2018). Open
Science now: A systematic literature review
for an integrated definition. Journal of Business Research,
88, 428–436. https://doi.org/10.1016/j.jbusres.2017.12.043
Vuorre, M., & Curley, J. P. (2018). Curating Research
Assets: A Tutorial on the Git Version Control
System. Advances in Methods and Practices in Psychological
Science, 1(2), 219–236. https://doi.org/10.1177/2515245918754826
Weberpals, J., & Wang, S. V. (2024). The FAIRification of research
in real-world evidence: A practical introduction to
reproducible analytic workflows using Git and R.
Pharmacoepidemiology and Drug Safety, 33(1), e5740.
https://doi.org/https://doi.org/10.1002/pds.5740
Weidmann, N. B. (2023). Data management for social scientists: From
files to databases (1st ed.). Cambridge University Press. https://doi.org/10.1017/9781108990424
Wickham, H. (2014). Tidy data. Journal of Statistical Software,
59, 1–23. https://doi.org/10.18637/jss.v059.i10
Wickham, H., Cetinkaya-Rundel, M., & Grolemund, G. (2023). R for
Data Science: Import, Tidy, Transform, Visualize, and Model Data.
O’Reilly Media. https://r4ds.hadley.nz/
Wiebels, K., & Moreau, D. (2021). Leveraging Containers
for Reproducible Psychological Research. Advances in
Methods and Practices in Psychological Science, 4(2),
251524592110178. https://doi.org/10.1177/25152459211017853
Wilson, G., Bryan, J., Cranston, K., Kitzes, J., Nederbragt, L., &
Teal, T. K. (2017). Good enough practices in scientific computing.
PLOS Computational Biology, 13(6), e1005510. https://doi.org/10.1371/journal.pcbi.1005510
Zandonella Callegher, C., & Massidda, D. (2022). The open
science manual: Make your scientific research accessible and
reproducible. https://doi.org/10.5281/zenodo.6521850