references.bib

@article{clyburne-sherin2019,
  title = {Computational {{Reproducibility}} via {{Containers}} in {{Psychology}}},
  author = {{Clyburne-Sherin}, April and Fei, Xu and Green, Seth Ariel},
  year = {2019},
  month = nov,
  journal = {Meta-Psychology},
  volume = {3},
  issn = {2003-2714},
  doi = {10.15626/MP.2018.892},
  urldate = {2024-03-12},
  abstract = {Scientific progress relies on the replication and reuse of research. Recent studies suggest, however, that sharing code and data does not suffice for computational reproducibility ---defined as the ability of researchers to reproduce ``par- ticular analysis outcomes from the same data set using the same code and software'' (Fidler and Wilcox, 2018). To date, creating long-term computationally reproducible code has been technically challenging and time-consuming. This tutorial introduces Code Ocean, a cloud-based computational reproducibility platform that attempts to solve these problems. It does this by adapting software engineering tools, such as Docker, for easier use by scientists and scientific audiences. In this article, we first outline arguments for the importance of computational reproducibility, as well as some reasons why this is a nontrivial problem for researchers. We then provide a step-by-step guide to getting started with containers in research using Code Ocean. (Disclaimer: the authors all worked for Code Ocean at the time of this article's writing.)},
  keywords = {Container},
  file = {C:\Users\pablo\OneDrive\Zotero\Clyburne-Sherin et al_2019_Computational Reproducibility via Containers in Psychology.pdf}
}

@article{moreau2023,
  title = {Containers for Computational Reproducibility},
  author = {Moreau, David and Wiebels, Kristina and Boettiger, Carl},
  year = {2023},
  month = jul,
  journal = {Nature Reviews Methods Primers},
  volume = {3},
  number = {1},
  pages = {50},
  issn = {2662-8449},
  doi = {10.1038/s43586-023-00236-9},
  urldate = {2024-03-12},
  langid = {english},
  keywords = {Container,CursoOS,Para LER}
}

@article{wiebels2021,
  title = {Leveraging {{Containers}} for {{Reproducible Psychological Research}}},
  author = {Wiebels, Kristina and Moreau, David},
  year = {2021},
  month = apr,
  journal = {Advances in Methods and Practices in Psychological Science},
  volume = {4},
  number = {2},
  pages = {251524592110178},
  issn = {2515-2459, 2515-2467},
  doi = {10.1177/25152459211017853},
  urldate = {2024-01-29},
  abstract = {Containers have become increasingly popular in computing and software engineering and are gaining traction in scientific research. They allow packaging up all code and dependencies to ensure that analyses run reliably across a range of operating systems and software versions. Despite being a crucial component for reproducible science, containerization has yet to become mainstream in psychology. In this tutorial, we describe the logic behind containers, what they are, and the practical problems they can solve. We walk the reader through the implementation of containerization within a research workflow with examples using Docker and R. Specifically, we describe how to use existing containers, build personalized containers, and share containers alongside publications. We provide a worked example that includes all steps required to set up a container for a research project and can easily be adapted and extended. We conclude with a discussion of the possibilities afforded by the large-scale adoption of containerization, especially in the context of cumulative, open science, toward a more efficient and inclusive research ecosystem.},
  langid = {english},
  keywords = {Container,CursoOS,Figuras,Importante,Lido,OneNote},
  file = {C:\Users\pablo\OneDrive\Zotero\Wiebels_Moreau_2021_Leveraging Containers for Reproducible Psychological Research.pdf}
}


@article{rogers2024,
  title = {Best Practices for Your Confirmatory Factor Analysis: {{A JASP}} and Lavaan Tutorial},
  shorttitle = {Best Practices for Your Confirmatory Factor Analysis},
  author = {Rogers, Pablo},
  year = {2024},
  month = mar,
  journal = {Behavior Research Methods},
  issn = {1554-3528},
  doi = {10.3758/s13428-024-02375-7},
  urldate = {2024-03-14},
  copyright = {All rights reserved},
  langid = {english},
  keywords = {ProjetoOS},
  file = {C:\Users\pablo\OneDrive\Documentos\Meus Artigos\Arquivo\Rogers 2024 AFC BRM.pdf}
}

@article{ram2013,
  title = {Git Can Facilitate Greater Reproducibility and Increased Transparency in Science},
  author = {Ram, Karthik},
  year = {2013},
  month = dec,
  journal = {Source Code for Biology and Medicine},
  volume = {8},
  number = {7},
  pages = {8},
  issn = {1751-0473},
  doi = {10.1186/1751-0473-8-7},
  urldate = {2024-06-17},
  abstract = {Background: Reproducibility is the hallmark of good science. Maintaining a high degree of transparency in scientific reporting is essential not just for gaining trust and credibility within the scientific community but also for facilitating the development of new ideas. Sharing data and computer code associated with publications is becoming increasingly common, motivated partly in response to data deposition requirements from journals and mandates from funders. Despite this increase in transparency, it is still difficult to reproduce or build upon the findings of most scientific publications without access to a more complete workflow. Findings: Version control systems (VCS), which have long been used to maintain code repositories in the software industry, are now finding new applications in science. One such open source VCS, Git, provides a lightweight yet robust framework that is ideal for managing the full suite of research outputs such as datasets, statistical code, figures, lab notes, and manuscripts. For individual researchers, Git provides a powerful way to track and compare versions, retrace errors, explore new approaches in a structured manner, while maintaining a full audit trail. For larger collaborative efforts, Git and Git hosting services make it possible for everyone to work asynchronously and merge their contributions at any time, all the while maintaining a complete authorship trail. In this paper I provide an overview of Git along with use-cases that highlight how this tool can be leveraged to make science more reproducible and transparent, foster new collaborations, and support novel uses.},
  copyright = {http://creativecommons.org/licenses/by/2.0},
  langid = {english},
  keywords = {CursoOS,Figuras,Importante,Para LER,Version Control},
  file = {C\:\\Users\\pablo\\OneDrive\\Zotero\\Ram_2013_Git can facilitate greater reproducibility and increased transparency in science.pdf;C\:\\Users\\pablo\\OneDrive\\Zotero\\Ram_2013_Git can facilitate greater reproducibility and increased transparency in science2.pdf}
}

@article{vuorre2018,
  title = {Curating {{Research Assets}}: {{A Tutorial}} on the {{Git Version Control System}}},
  shorttitle = {Curating {{Research Assets}}},
  author = {Vuorre, Matti and Curley, James P.},
  year = {2018},
  month = jun,
  journal = {Advances in Methods and Practices in Psychological Science},
  volume = {1},
  number = {2},
  pages = {219--236},
  issn = {2515-2459, 2515-2467},
  doi = {10.1177/2515245918754826},
  urldate = {2024-01-29},
  abstract = {Recent calls for improving reproducibility have increased attention to the ways in which researchers curate, share, and collaborate on their research assets. In this Tutorial, we explain how version control systems, such as the popular Git program, support these functions and then show how to use Git with a graphical interface in the RStudio program. This Tutorial is written for researchers with no previous experience using version control systems and covers both single-user and collaborative workflows. The online Supplemental Material provides information on advanced Git command-line functions. Git presents an elegant solution to specific challenges to curating, sharing, and collaborating on research assets and can be implemented in common workflows with little extra effort.},
  langid = {english},
  keywords = {CursoOS,Importante,Lido,OneNote,Version Control},
  file = {C:\Users\pablo\OneDrive\Zotero\Vuorre_Curley_2018_Curating Research Assets2.pdf}
}


@article{
  olson2022,
  title={Getting Started on OSF},
  url={https://osf.io/yaqe8/},
  DOI={10.17605/OSF.IO/YAQE8},
  publisher={Open},
  author={Olson, Eric and Pfeiffer, Nicole and Call, Mark and Steger, Daniel},
  year={2022},
month={Aug} }

@article{
  sullivan2019,
  title={Open and Reproducible Research on Open Science Framework},
  volume={18},
  ISSN={1948-3430, 1948-3430},
  url={https://currentprotocols.onlinelibrary.wiley.com/doi/10.1002/cpet.32},
  DOI={10.1002/cpet.32},
  number={1},
  journal={Current Protocols Essential Laboratory Techniques},
  author={Sullivan, Ian and DeHaven, Alexander and Mellor, David},
  year={2019},
  month={Jun},
pages={e32} }

@article{
  soderberg2018,
  title={Using OSF to Share Data: A Step-by-Step Guide},
  volume={1},
  ISSN={2515-2459, 2515-2467},
  url={http://journals.sagepub.com/doi/10.1177/2515245918757689},
  DOI={10.1177/2515245918757689},
  number={1},
  journal={Advances in Methods and Practices in Psychological Science},
  author={Soderberg, Courtney K.},
  year={2018},
  month={Mar},
pages={115–120} }

@article{
  dogucu2022,
  title={Tools and Recommendations for Reproducible Teaching},
  volume={30},
  ISSN={2693-9169},
  url={https://www.tandfonline.com/doi/full/10.1080/26939169.2022.2138645},
  DOI={10.1080/26939169.2022.2138645},
  number={3},
  journal={Journal of Statistics and Data Science Education},
  author={Dogucu, Mine and Çetinkaya-Rundel, Mine},
  year={2022},
  month={Sep},
pages={251–260} }

@article{baker2016,
  title = {1,500 Scientists Lift the Lid on Reproducibility},
  author = {Baker, Monya},
  year = {2016},
  month = may,
  journal = {Nature},
  volume = {533},
  number = {7604},
  pages = {452--454},
  issn = {0028-0836, 1476-4687},
  doi = {10.1038/533452a},
  url = {https://www.nature.com/articles/533452a},
  urldate = {2024-01-17},
  langid = {english},
  keywords = {CursoOS,Figuras,Importante,Lido,OneNote},
  file = {files/6676/Baker_2016_1,500 scientists lift the lid on reproducibility.pdf}
}

@techreport{baker2023,
  type = {Preprint},
  title = {{{ReproduceMe}}: Lessons from a Pilot Project on Computational Reproducibility},
  shorttitle = {{{ReproduceMe}}},
  author = {Baker, Daniel H and Berg, Mareike and Hansford, Kirralise and Quinn, Bartholomew Patrick Anselm and Segala, Federico Gabriele and English, Erin},
  year = {2023},
  month = aug,
  institution = {PsyArXiv},
  doi = {10.31234/osf.io/k8d4u},
  url = {https://osf.io/k8d4u},
  urldate = {2024-01-26},
  abstract = {If a scientific paper is computationally reproducible, the analyses it reports can be repeated independently by others. At the present time most papers are not reproducible. However, the tools to enable computational reproducibility are now widely available, using free and open source software. We conducted a pilot study in which we offered `reproducibility as a service' within a UK psychology department for a period of 6 months. Our rationale was that most researchers lack either the time or expertise to make their own work reproducible, but might be willing to allow this to be done by an independent team. Ten papers were converted into reproducible format using R markdown, such that all analyses were conducted by a single script that could download raw data from online platforms as required, generate figures, and produce a pdf of the final manuscript. For some studies this involved reproducing analyses originally conducted using commercial software. The project was an overall success, with strong support from the contributing authors who saw clear benefit from this work, including greater transparency and openness, and ease of use for the reader. Here we describe our framework for reproducibility, summarise the specific lessons learned during the project, and discuss the future of computational reproducibility. Our view is that computationally reproducible manuscripts embody many of the core principles of open science, and should become the default format for scientific communication.},
  keywords = {CursoOS,Lido,OneNote,Teaching},
  file = {files/7224/Baker et al_2023_ReproduceMe.pdf}
}

@article{bernard2023,
  title = {Stop {{Reproducing}} the {{Reproducibility Crisis}}},
  author = {Bernard, Christophe},
  year = {2023},
  month = feb,
  journal = {eneuro},
  volume = {10},
  number = {2},
  pages = {ENEURO.0032-23.2023},
  issn = {2373-2822},
  doi = {10.1523/ENEURO.0032-23.2023},
  url = {https://www.eneuro.org/lookup/doi/10.1523/ENEURO.0032-23.2023},
  urldate = {2024-01-16},
  langid = {english},
  keywords = {CursoOS,Lido,OneNote},
  file = {files/6667/Bernard_2023_Stop Reproducing the Reproducibility Crisis.pdf}
}

@book{bezjak2018,
  title = {Open {{Science Training Handbook}}},
  author = {Bezjak, Sonja and {Clyburne-Sherin}, April and Conzett, Philipp and Fernandes, Pedro and G{\"o}r{\"o}gh, Edit and Helbig, Kerstin and Kramer, Bianca and Labastida, Ignasi and Niemeyer, Kyle and Psomopoulos, Fotis and {Ross-Hellauer}, Tony and Schneider, Ren{\'e} and Tennant, Jon and Verbakel, Ellen and Brinken, Helene and Heller, Lambert},
  year = {2018},
  month = apr,
  publisher = {Zenodo},
  doi = {10.5281/ZENODO.1212496},
  url = {https://open-science-training-handbook.github.io/Open-Science-Training-Handbook_EN/},
  urldate = {2024-01-24},
  abstract = {{$<$}strong{$>$}For a readable version of the book, please visit https://book.fosteropenscience.eu{$<$}/strong{$>$} A group of fourteen authors came together in February 2018 at the TIB (German National Library of Science and Technology) in Hannover to create an open, living handbook on Open Science training. High-quality trainings are fundamental when aiming at a cultural change towards the implementation of Open Science principles. Teaching resources provide great support for Open Science instructors and trainers. The Open Science training handbook will be a key resource and a first step towards developing Open Access and Open Science curricula and andragogies. Supporting and connecting an emerging Open Science community that wishes to pass on their knowledge as multipliers, the handbook will enrich training activities and unlock the community's full potential. In this first release of the Open Science Training Handbook, some initial feedback from the community is already included.},
  copyright = {Creative Commons Zero - CC0 1.0, Open Access},
  langid = {english},
  keywords = {CursoOS,Importante,Open Science,Training,Translational skills,Vocational training}
}

@article{chopik2018,
  title = {How (and {{Whether}}) to {{Teach Undergraduates About}} the {{Replication Crisis}} in {{Psychological Science}}},
  author = {Chopik, William J. and Bremner, Ryan H. and Defever, Andrew M. and Keller, Victor N.},
  year = {2018},
  month = apr,
  journal = {Teaching of Psychology},
  volume = {45},
  number = {2},
  pages = {158--163},
  issn = {0098-6283, 1532-8023},
  doi = {10.1177/0098628318762900},
  url = {http://journals.sagepub.com/doi/10.1177/0098628318762900},
  urldate = {2024-01-30},
  abstract = {Over the past 10 years, crises surrounding replication, fraud, and best practices in research methods have dominated discussions in the field of psychology. However, no research exists examining how to communicate these issues to undergraduates and what effect this has on their attitudes toward the field. We developed and validated a 1-hr lecture communicating issues surrounding the replication crisis and current recommendations to increase reproducibility. Pre- and post-lecture surveys suggest that the lecture serves as an excellent pedagogical tool. Following the lecture, students trusted psychological studies slightly less but saw greater similarities between psychology and natural science fields. We discuss challenges for instructors taking the initiative to communicate these issues to undergraduates in an evenhanded way.},
  langid = {english},
  keywords = {CursoOS,Para LER},
  file = {files/7671/Chopik et al_2018_How (and Whether) to Teach Undergraduates About the Replication Crisis in.pdf}
}

@book{crrs2019,
  title = {Reproducibility and {{Replicability}} in {{Science}}},
  author = {{Committee on Reproducibility and Replicability in Science} and {Board on Behavioral, Cognitive, and Sensory Sciences} and {Committee on National Statistics} and {Division of Behavioral and Social Sciences and Education} and {Nuclear and Radiation Studies Board} and {Division on Earth and Life Studies} and {Board on Mathematical Sciences and Analytics} and {Committee on Applied and Theoretical Statistics} and {Division on Engineering and Physical Sciences} and {Board on Research Data and Information} and {Committee on Science, Engineering, Medicine, and Public Policy} and {Policy and Global Affairs} and {National Academies of Sciences, Engineering, and Medicine}},
  year = {2019},
  month = sep,
  pages = {25303},
  publisher = {National Academies Press},
  address = {Washington, D.C.},
  doi = {10.17226/25303},
  url = {https://bioterio.facmed.unam.mx/docs/Libro_Reproducibilidad_y_replicabilidad_NAS-press.pdf},
  urldate = {2024-01-16},
  isbn = {978-0-309-48616-3},
  keywords = {CursoOS,Geral}
}

@article{cruwell2019,
  title = {Seven {{Easy Steps}} to {{Open Science}}: {{An Annotated Reading List}}},
  shorttitle = {Seven {{Easy Steps}} to {{Open Science}}},
  author = {Cr{\"u}well, Sophia and Van Doorn, Johnny and Etz, Alexander and Makel, Matthew C. and Moshontz, Hannah and Niebaum, Jesse C. and Orben, Amy and Parsons, Sam and {Schulte-Mecklenbeck}, Michael},
  year = {2019},
  month = oct,
  journal = {Zeitschrift f{\"u}r Psychologie},
  volume = {227},
  number = {4},
  pages = {237--248},
  issn = {2190-8370, 2151-2604},
  doi = {10.1027/2151-2604/a000387},
  url = {https://econtent.hogrefe.com/doi/10.1027/2151-2604/a000387},
  urldate = {2024-01-27},
  abstract = {Abstract. The open science movement is rapidly changing the scientific landscape. Because exact definitions are often lacking and reforms are constantly evolving, accessible guides to open science are needed. This paper provides an introduction to open science and related reforms in the form of an annotated reading list of seven peer-reviewed articles, following the format of Etz, Gronau, Dablander, Edelsbrunner, and Baribault (2018) . Written for researchers and students -- particularly in psychological science -- it highlights and introduces seven topics: understanding open science; open access; open data, materials, and code; reproducible analyses; preregistration and registered reports; replication research; and teaching open science. For each topic, we provide a detailed summary of one particularly informative and actionable article and suggest several further resources. Supporting a broader understanding of open science issues, this overview should enable researchers to engage with, improve, and implement current open, transparent, reproducible, replicable, and cumulative scientific practices.},
  langid = {english},
  keywords = {CursoOS,Geral,Importante,Lido,OneNote},
  file = {files/7317/Crüwell et al_2019_Seven Easy Steps to Open Science.pdf}
}

@article{dogucu2022,
  title = {Tools and {{Recommendations}} for {{Reproducible Teaching}}},
  author = {Dogucu, Mine and {\c C}etinkaya-Rundel, Mine},
  year = {2022},
  month = sep,
  journal = {Journal of Statistics and Data Science Education},
  volume = {30},
  number = {3},
  pages = {251--260},
  issn = {2693-9169},
  doi = {10.1080/26939169.2022.2138645},
  url = {https://www.tandfonline.com/doi/full/10.1080/26939169.2022.2138645},
  urldate = {2024-01-26},
  langid = {english},
  keywords = {CursoOS,Importante,Lido,OneNote,Teaching,Workflow},
  file = {files/7218/Dogucu_Çetinkaya-Rundel_2022_Tools and Recommendations for Reproducible Teaching.pdf}
}

@book{EU2017,
  title = {Providing Researchers with the Skills and Competencies They Need to Practise {{Open Science}}.},
  author = {{European Commission. Directorate General for Research and Innovation.}},
  year = {2017},
  publisher = {Publications Office},
  address = {LU},
  url = {https://data.europa.eu/doi/10.2777/121253},
  urldate = {2024-03-13},
  langid = {english},
  keywords = {CursoOS},
  file = {files/14645/providing researchers with the skills and competencies-UE.pdf}
}

@article{fanelli2018,
  title = {Is Science Really Facing a Reproducibility Crisis, and Do We Need It To?},
  author = {Fanelli, Daniele},
  year = {2018},
  month = mar,
  journal = {Proceedings of the National Academy of Sciences},
  volume = {115},
  number = {11},
  pages = {2628--2631},
  issn = {0027-8424, 1091-6490},
  doi = {10.1073/pnas.1708272114},
  url = {https://pnas.org/doi/full/10.1073/pnas.1708272114},
  urldate = {2024-01-16},
  abstract = {Efforts to improve the reproducibility and integrity of science are typically justified by a narrative of crisis, according to which most published results are unreliable due to growing problems with research and publication practices. This article provides an overview of recent evidence suggesting that this narrative is mistaken, and argues that a narrative of epochal changes and empowerment of scientists would be more accurate, inspiring, and compelling.},
  langid = {english},
  keywords = {CursoOS,Lido,OneNote},
  file = {files/6661/Fanelli_2018_Is science really facing a reproducibility crisis, and do we need it to.pdf}
}

@article{freedman2015,
  title = {The {{Economics}} of {{Reproducibility}} in {{Preclinical Research}}},
  author = {Freedman, Leonard P. and Cockburn, Iain M. and Simcoe, Timothy S.},
  year = {2015},
  month = jun,
  journal = {PLOS Biology},
  volume = {13},
  number = {6},
  pages = {e1002165},
  issn = {1545-7885},
  doi = {10.1371/journal.pbio.1002165},
  url = {https://dx.plos.org/10.1371/journal.pbio.1002165},
  urldate = {2024-01-16},
  langid = {english},
  keywords = {CursoOS,Evidencia,Importante},
  file = {files/6648/Freedman et al_2015_The Economics of Reproducibility in Preclinical Research.pdf}
}

@article{janz2015,
  title = {Bringing the {{Gold Standard}} into the {{Classroom}}: {{Replication}} in {{University Teaching}}},
  shorttitle = {Bringing the {{Gold Standard}} into the {{Classroom}}},
  author = {Janz, Nicole},
  year = {2015},
  month = mar,
  journal = {International Studies Perspectives},
  pages = {n/a-n/a},
  issn = {15283577},
  doi = {10.1111/insp.12104},
  url = {http://isp.oxfordjournals.org/cgi/doi/10.1111/insp.12104},
  urldate = {2024-01-30},
  langid = {english},
  keywords = {CursoOS,Lido,OneNote,Teaching},
  file = {files/7674/Janz_2015_Bringing the Gold Standard into the Classroom.pdf}
}

@techreport{mcaleer2022,
  type = {Preprint},
  title = {Embedding {{Data Skills}} in {{Research Methods Education}}: {{Preparing Students}} for {{Reproducible Research}}},
  shorttitle = {Embedding {{Data Skills}} in {{Research Methods Education}}},
  author = {McAleer, Phil and Stack, Niamh and Woods, Heather and DeBruine, Lisa Marie and Paterson, Helena and Nordmann, Emily and {Kuepper-Tetzel}, Carolina Ellen and Barr, Dale J.},
  year = {2022},
  month = nov,
  institution = {PsyArXiv},
  doi = {10.31234/osf.io/hq68s},
  url = {https://osf.io/hq68s},
  urldate = {2024-01-26},
  abstract = {Many initiatives to improve reproducibility incentivise replication and encourage greater transparency without directly addressing the underlying skills needed for transparent and reproducible data preparation and analysis. In this paper, we argue that training in data processing and transformation should be embedded in field-specific research methods curricula. Promoting reproducibility and open science requires not only teaching relevant values and practices, but also providing the skills needed for reproducible data analysis. Improving students' data skills will also enhance their employability within and beyond the academic context. To demonstrate the necessity of these skills, we walk through the analysis of realistic data from a classic paradigm in experimental psychology that is often used in teaching: the Stroop Interference Task. When starting from realistic raw data, nearly 80\% of the data analytic effort for this task involves skills not commonly taught---namely, importing, manipulating, and transforming tabular data. Data processing and transformation is a large and inescapable part of data analysis, and so education should strive to make the work associated with it as efficient, transparent, and reproducible as possible. We conclude by considering the challenges of embedding computational data skills training in undergraduate programmes and offer some solutions.},
  keywords = {CursoOS,Lido,OneNote,Teaching},
  file = {files/7240/McAleer et al_2022_Embedding Data Skills in Research Methods Education.pdf}
}

@article{mendes-da-silva2023,
  title = {What {{Lectures}} and {{Research}} in {{Business Management Need}} to {{Know About Open Science}}},
  author = {{Mendes-Da-Silva}, Wesley},
  year = {2023},
  journal = {Revista de Administra{\c c}{\~a}o de Empresas},
  volume = {63},
  number = {4},
  pages = {e0000-0033},
  issn = {2178-938X, 0034-7590},
  doi = {10.1590/s0034-759020230408x},
  url = {http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-75902023000400100&tlng=en},
  urldate = {2024-01-24},
  keywords = {Artigo-Tutorial,artigoCFA,CursoOS,Figuras,Importante,Lido,OneNote},
  file = {files/7072/Mendes-Da-Silva_2023_What Lectures and Research IN Business Management Need to Know About Open.pdf}
}

@article{munafo2017,
  title = {A Manifesto for Reproducible Science},
  author = {Munaf{\`o}, Marcus R. and Nosek, Brian A. and Bishop, Dorothy V. M. and Button, Katherine S. and Chambers, Christopher D. and Percie Du Sert, Nathalie and Simonsohn, Uri and Wagenmakers, Eric-Jan and Ware, Jennifer J. and Ioannidis, John P. A.},
  year = {2017},
  month = jan,
  journal = {Nature Human Behaviour},
  volume = {1},
  number = {1},
  pages = {0021},
  issn = {2397-3374},
  doi = {10.1038/s41562-016-0021},
  url = {https://www.nature.com/articles/s41562-016-0021},
  urldate = {2024-01-16},
  abstract = {Abstract             Improving the reliability and efficiency of scientific research will increase the credibility of the published scientific literature and accelerate discovery. Here we argue for the adoption of measures to optimize key elements of the scientific process: methods, reporting and dissemination, reproducibility, evaluation and incentives. There is some evidence from both simulations and empirical studies supporting the likely effectiveness of these measures, but their broad adoption by researchers, institutions, funders and journals will require iterative evaluation and improvement. We discuss the goals of these measures, and how they can be implemented, in the hope that this will facilitate action toward improving the transparency, reproducibility and efficiency of scientific research.},
  langid = {english},
  keywords = {CursoOS,Importante,Lido,OneNote},
  file = {files/6657/Munafò et al_2017_A manifesto for reproducible science.pdf}
}

@article{neto2016,
  title = {Measuring, Rating, Supporting, and Strengthening Open Access Scholarly Publishing in {{Brazil}}},
  author = {Neto, Silvio Carvalho and Willinsky, John and Alperin, Juan Pablo},
  year = {2016},
  month = may,
  journal = {Education Policy Analysis Archives},
  volume = {24},
  pages = {54--54},
  issn = {1068-2341},
  doi = {10.14507/epaa.24.2391},
  url = {https://epaa.asu.edu/index.php/epaa/article/view/2391},
  urldate = {2024-03-13},
  abstract = {This study assesses the extent and nature of open access scholarly publishing in Brazil, one of the world's leaders in providing universal access to its research and scholarship. It utilizes Brazil's Qualis journal evaluation system, along with other relevant data bases to address the association between scholarly quality and open access in the Brazilian context. Through cross tabulation among these various data sets, it is possible to arrive at a reasonably accurate picture of journals, systems, ratings, and disciplines. The study establishes reliable measures and counts of Brazilian scholarly publications, the proportion and types of open access, and journals ratings and by disciplinary field. It finds that the better the Brazilian journal, the more likely it is to be open access. It also finds that Qualis ranks Brazilian journals lower overall than the international journals in which Brazilian authors publish, most notably in the field of the biological sciences. The study concludes with a consideration of the policy implications for building on the country's global leadership in open access to strengthen the quality of its global contribution to knowledge.},
  copyright = {Copyright (c) 2019 Silvio Carvalho Neto, John Willinsky, Juan Pablo Alperin},
  langid = {english},
  keywords = {Brazil,CursoOS,open access,scholarly publishing},
  file = {files/14597/Neto et al_2016_Measuring, rating, supporting, and strengthening open access scholarly.pdf}
}

@article{protzko2023,
  title = {High Replicability of Newly Discovered Social-Behavioural Findings Is Achievable},
  author = {Protzko, John and Krosnick, Jon and Nelson, Leif and Nosek, Brian A. and Axt, Jordan and Berent, Matt and Buttrick, Nicholas and DeBell, Matthew and Ebersole, Charles R. and Lundmark, Sebastian and MacInnis, Bo and O'Donnell, Michael and Perfecto, Hannah and Pustejovsky, James E. and Roeder, Scott S. and Walleczek, Jan and Schooler, Jonathan W.},
  year = {2023},
  month = nov,
  journal = {Nature Human Behaviour},
  issn = {2397-3374},
  doi = {10.1038/s41562-023-01749-9},
  url = {https://www.nature.com/articles/s41562-023-01749-9},
  urldate = {2024-02-02},
  abstract = {Abstract                            Failures to replicate evidence of new discoveries have forced scientists to ask whether this unreliability is due to suboptimal implementation of methods or whether presumptively optimal methods are not, in fact, optimal. This paper reports an investigation by four coordinated laboratories of the prospective replicability of 16 novel experimental findings using rigour-enhancing practices: confirmatory tests, large sample sizes, preregistration and methodological transparency. In contrast to past systematic replication efforts that reported replication rates averaging 50\%, replication attempts here produced the expected effects with significance testing (               P               \,{$<$}\,0.05) in 86\% of attempts, slightly exceeding the maximum expected replicability based on observed effect sizes and sample sizes. When one lab attempted to replicate an effect discovered by another lab, the effect size in the replications was 97\% that in the original study. This high replication rate justifies confidence in rigour-enhancing methods to increase the replicability of new discoveries.},
  langid = {english},
  keywords = {CursoOS,Evidencia,Importante},
  file = {files/7979/Protzko et al_2023_High replicability of newly discovered social-behavioural findings is achievable.pdf}
}

@article{toelch2018,
  title = {Digital Open Science---{{Teaching}} Digital Tools for Reproducible and Transparent Research},
  author = {Toelch, Ulf and Ostwald, Dirk},
  year = {2018},
  month = jul,
  journal = {PLOS Biology},
  volume = {16},
  number = {7},
  pages = {e2006022},
  issn = {1545-7885},
  doi = {10.1371/journal.pbio.2006022},
  url = {https://dx.plos.org/10.1371/journal.pbio.2006022},
  urldate = {2024-01-18},
  langid = {english},
  keywords = {CursoOS,Figuras,Lido,OneNote,Teaching},
  file = {files/6830/Toelch_Ostwald_2018_Digital open science—Teaching digital tools for reproducible and transparent.pdf}
}

@techreport{unesco2021,
  title = {{{UNESCO Recommendation}} on {{Open Science}}},
  author = {{UNESCO}},
  year = {2021},
  institution = {UNESCO},
  doi = {10.54677/MNMH8546},
  url = {https://unesdoc.unesco.org/ark:/48223/pf0000379949},
  urldate = {2024-03-12},
  keywords = {CursoOS,Geral,Para LER},
  file = {files/14365/UNESCO_2021_UNESCO Recommendation on Open Science.pdf;files/14455/UNESCO 2021.pdf}
}

@article{vicente-saez2018,
  title = {Open {{Science}} Now: {{A}} Systematic Literature Review for an Integrated Definition},
  shorttitle = {Open {{Science}} Now},
  author = {{Vicente-Saez}, Ruben and {Martinez-Fuentes}, Clara},
  year = {2018},
  month = jul,
  journal = {Journal of Business Research},
  volume = {88},
  pages = {428--436},
  issn = {01482963},
  doi = {10.1016/j.jbusres.2017.12.043},
  url = {https://linkinghub.elsevier.com/retrieve/pii/S0148296317305441},
  urldate = {2024-03-13},
  langid = {english},
  keywords = {CursoOS},
  file = {files/14581/Vicente-Saez_Martinez-Fuentes_2018_Open Science now.pdf}
}

@article{albano2023,
  title = {Ci{\^e}ncia {{Aberta}}: {{Um Panorama}} Sobre as {{Publica{\c c}{\~o}es}} No {{Cen{\'a}rio Brasileiro}}},
  author = {Albano, Cl{\'a}udio Son{\'a}glio and Pedroso, Paula de Oliveira and Caetano, Doriedson Oliveira},
  year = {2023},
  journal = {Saber Cient{\'i}fico},
  volume = {12},
  number = {1},
  pages = {1--12},
  keywords = {CursoOS,Evidencia,Lido,OneNote},
  file = {files/9749/Albano et al_2023_Ciência Aberta.pdf}
}

@article{caballero-rivero2019,
  title = {{Pr{\'a}ticas de Ci{\^e}ncia Aberta da comunidade acad{\^e}mica brasileira: estudo a partir da produ{\c c}{\~a}o cient{\'i}fica}},
  shorttitle = {{Pr{\'a}ticas de Ci{\^e}ncia Aberta da comunidade acad{\^e}mica brasileira}},
  author = {{Caballero-Rivero}, Alejandro and {S{\'a}nchez-Tarrag{\'o}}, Nancy and dos Santos, Raimundo Nonato Macedo},
  year = {2019},
  month = nov,
  journal = {Transinforma{\c c}{\~a}o},
  volume = {31},
  pages = {e190029},
  publisher = {Pontif{\'i}cia Universidade Cat{\'o}lica de Campinas},
  issn = {0103-3786, 2318-0889},
  doi = {10.1590/2318-0889201931e190029},
  url = {https://www.scielo.br/j/tinf/a/5hgYK97mbcjRdZL7dfRDzvD/?lang=pt},
  urldate = {2024-03-13},
  abstract = {Resumo A Ci{\^e}ncia Aberta representa um novo enfoque para o trabalho cient{\'i}fi co, resultante do r{\'a}pido desenvolvimento de modos interativos e colaborativos de aquisi{\c c}{\~a}o, produ{\c c}{\~a}o e dissemina{\c c}{\~a}o de conhecimento, facilitados pelas tecnologias da informa{\c c}{\~a}o. O termo {\'e} utilizado como ``guarda-chuva'' que engloba um conjunto de iniciativas, entre elas Acesso Aberto e Dados Abertos. A pesquisa, com enfoque cientom{\'e}trico, utiliza a produ{\c c}{\~a}o cient{\'i}fi ca brasileira de artigos publicados em peri{\'o}dicos indexados na Web of Science Core Collection, no per{\'i}odo 2015-2018, visando explorar as pr{\'a}ticas da comunidade acad{\^e}mica nacional relacionadas com Acesso Aberto e Dados Abertos. Constata o crescimento est{\'a}vel dos artigos em Acesso Aberto, os quais representam mais de um ter{\c c}o da produ{\c c}{\~a}o brasileira na Web of Science no per{\'i}odo. A publica{\c c}{\~a}o em mega journals internacionais de Acesso Aberto constitui uma pr{\'a}tica destacada, com {\^e}nfase em comunidades que pesquisam as {\'a}reas de Agricultura e Ci{\^e}ncia \& Tecnologia, bem como o dep{\'o}sito em reposit{\'o}rio de artigos previamente publicados em peri{\'o}dicos de acesso aberto. J{\'a} as pr{\'a}ticas relacionadas a Dados Abertos parecem ainda incipientes, e os resultados sugerem que seu uso predomina nas {\'a}reas de Ci{\^e}ncia \& Tecnologia, Parasitologia e Gen{\'e}tica \& Hereditariedade.},
  langid = {portuguese},
  keywords = {Acesso Aberto,Brasil,Ciencia Aberta,CursoOS,Dados Abertos,Evidencia,Lido},
  file = {files/14515/Caballero-Rivero et al_2019_Práticas de Ciência Aberta da comunidade acadêmica brasileira2.pdf}
}

@article{heinz2024,
  title = {Ci{\^e}ncia {{Aberta}}: Argumentos e Desafios Para Sua Legitima{\c c}{\~a}o Cient{\'i}fica},
  author = {Heinz, Michele and Miranda, Miranda},
  year = {2024},
  journal = {Em Quest{\~a}o},
  volume = {30},
  issn = {1808-5245},
  doi = {10.1590/1808-5245.30.135618},
  keywords = {Brazil,CursoOS,Geral,Lido,OneNote},
  file = {files/9703/Heinz_Miranda_2024_Ciência Aberta.pdf}
}

@article{mendes-da-silva2023,
  title = {What {{Lectures}} and {{Research}} in {{Business Management Need}} to {{Know About Open Science}}},
  author = {{Mendes-Da-Silva}, Wesley},
  year = {2023},
  journal = {Revista de Administra{\c c}{\~a}o de Empresas},
  volume = {63},
  number = {4},
  pages = {e0000-0033},
  issn = {2178-938X, 0034-7590},
  doi = {10.1590/s0034-759020230408x},
  url = {http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-75902023000400100&tlng=en},
  urldate = {2024-01-24},
  keywords = {Artigo-Tutorial,artigoCFA,CursoOS,Figuras,Importante,Lido,OneNote},
  file = {files/7072/Mendes-Da-Silva_2023_What Lectures and Research IN Business Management Need to Know About Open.pdf}
}

@article{neto2016,
  title = {Measuring, Rating, Supporting, and Strengthening Open Access Scholarly Publishing in {{Brazil}}},
  author = {Neto, Silvio Carvalho and Willinsky, John and Alperin, Juan Pablo},
  year = {2016},
  month = may,
  journal = {Education Policy Analysis Archives},
  volume = {24},
  pages = {54--54},
  issn = {1068-2341},
  doi = {10.14507/epaa.24.2391},
  url = {https://epaa.asu.edu/index.php/epaa/article/view/2391},
  urldate = {2024-03-13},
  abstract = {This study assesses the extent and nature of open access scholarly publishing in Brazil, one of the world's leaders in providing universal access to its research and scholarship. It utilizes Brazil's Qualis journal evaluation system, along with other relevant data bases to address the association between scholarly quality and open access in the Brazilian context. Through cross tabulation among these various data sets, it is possible to arrive at a reasonably accurate picture of journals, systems, ratings, and disciplines. The study establishes reliable measures and counts of Brazilian scholarly publications, the proportion and types of open access, and journals ratings and by disciplinary field. It finds that the better the Brazilian journal, the more likely it is to be open access. It also finds that Qualis ranks Brazilian journals lower overall than the international journals in which Brazilian authors publish, most notably in the field of the biological sciences. The study concludes with a consideration of the policy implications for building on the country's global leadership in open access to strengthen the quality of its global contribution to knowledge.},
  copyright = {Copyright (c) 2019 Silvio Carvalho Neto, John Willinsky, Juan Pablo Alperin},
  langid = {english},
  keywords = {Brazil,CursoOS,open access,scholarly publishing},
  file = {files/14597/Neto et al_2016_Measuring, rating, supporting, and strengthening open access scholarly.pdf}
}

@article{rezende2020,
  title = {Estado Da Arte Dos Marcos Regulat{\'o}rios Brasileiros Rumo {\`a} {{Ci{\^e}ncia Aberta}}},
  author = {Rezende, Laura Vilela Rodrigues and Falgueras, Ernest Abadal},
  year = {2020},
  month = sep,
  journal = {Encontros Bibli: revista eletr{\^o}nica de biblioteconomia e ci{\^e}ncia da informa{\c c}{\~a}o},
  volume = {25},
  pages = {01--25},
  issn = {1518-2924},
  doi = {10.5007/1518-2924.2020.e71370},
  url = {https://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2020.e71370},
  urldate = {2024-02-12},
  abstract = {Objetivo: Apresentar um panorama brasileiro acerca de marcos regulat{\'o}rios que influenciam diretamente a pr{\'a}tica da Ci{\^e}ncia Aberta considerando a esfera governamental, institucional e das ag{\^e}ncias de fomento.M{\'e}todo: Estudo descritivo e explorat{\'o}rio com abordagem qualitativa.Resultado: As an{\'a}lises est{\~a}o divididas em dois blocos: o primeiro com marcos regulat{\'o}rios jur{\'i}dicos brasileiros provenientes de institui{\c c}{\~o}es governamentais, que totalizam seis (6) normativas com t{\'o}picos referentes {\`a} transpar{\^e}ncia e abertura de dados, atos e do fazer cient{\'i}fico; o segundo bloco traz marcos regulat{\'o}rios provenientes das institui{\c c}{\~o}es cient{\'i}ficas totalizando vinte e seis (26) pol{\'i}ticas, uma (1) de ag{\^e}ncia de fomento e quatro(4) normativas de institui{\c c}{\~o}es provedoras de produtos e servi{\c c}os em informa{\c c}{\~a}o.Conclus{\~o}es: Conclui-se que o Brasil tem trilhado seu caminho de maneira singular e de destaque uma vez que a abertura do fazer cient{\'i}fico est{\'a} em uma fase considerada transit{\'o}ria, consolidando o movimento de Acesso Aberto e inaugurando a Ci{\^e}ncia Aberta, tendo o governo como agente essencial para esta implementa{\c c}{\~a}o.},
  keywords = {CursoOS,Geral,Importante,Lido,OneNote},
  file = {files/9784/Rezende_Falgueras_2020_Estado da arte dos marcos regulatórios brasileiros rumo à Ciência Aberta.pdf}
}

@article{silva2019,
  title = {O Ecossistema Da {{Ci{\^e}ncia Aberta}}},
  author = {Silva, Fabiano Couto Corr{\^e}a Da and Silveira, L{\'u}cia Da},
  year = {2019},
  journal = {Transinforma{\c c}{\~a}o},
  volume = {31},
  pages = {e190001},
  issn = {2318-0889, 0103-3786},
  doi = {10.1590/2318-0889201931e190001},
  url = {http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-37862019000100302&tlng=pt},
  urldate = {2024-02-12},
  abstract = {Resumo O presente estudo descritivo tem como objetivo apresentar as dimens{\~o}es da Ci{\^e}ncia Aberta e o impacto desse contexto na vida dos pesquisadores. O surgimento de revistas cient{\'i}fi cas no s{\'e}culo XVII ajudou a promover a Revolu{\c c}{\~a}o Cient{\'i}fi ca,permitindo que os pesquisadores se comunicassem atrav{\'e}s do tempo e do espa{\c c}o usando as tecnologias da {\'e}poca para gerar conhecimento confi {\'a}vel de maneira mais r{\'a}pida e efi ciente. Aproveitando os cont{\'i}nuos avan{\c c}os nas tecnologias da informa{\c c}{\~a}o, os pesquisadores est{\~a}o caminhando para um novo ecossistema cient{\'i}fi co, o qual {\'e} mais aberto para acompanhar o ciclo de vida investigativo. {\'E} nesse contexto que a Ci{\^e}ncia Aberta surge para garantir a disponibilidade e a usabilidade sem barreiras de acesso {\`a}s publica{\c c}{\~o}es acad{\^e}micas e aos dados resultantes de pesquisas e metodologias acad{\^e}micas, incluindo c{\'o}digos oualgoritmos que foram usados para gerar esses dados.           ,              Abstract The present study shows the dimensions of open science and the impact of this context on researchers' lives. The birth of scientifi cjournals in the seventeenth century helped to promote the Scientifi c Revolution, allowing researchers to communicate through time and space, using the technologies of the time to generate reliable knowledge more quickly and effi ciently. Taking advantage of continuous advances in information technology, researchers are moving towards a new, more open scientifi c ecosystem to accompany the research life cycle. It is in this context that Open Science arises to ensure the free availability and usability of academic publications, data resulting from research and academic methodologies, including codes or algorithms that were used to generate such data.},
  keywords = {CursoOS,Geral,Importante,Lido,OneNote},
  file = {files/9753/Silva_Silveira_2019_O ecossistema da Ciência Aberta.pdf}
}

@article{silveira2023,
  title = {Taxonomia Da {{Ci{\^e}ncia Aberta}}: Revisada e Ampliada},
  shorttitle = {Taxonomia Da {{Ci{\^e}ncia Aberta}}},
  author = {Silveira, L{\'u}cia Da and Calixto Ribeiro, Nivaldo and Melero, Remedios and {Mora-Campos}, Andrea and {Piraquive-Piraquive}, Daniel Fernando and Uribe Tirado, Alejandro and Machado Borges Sena, Priscila and Polanco Cort{\'e}s, Jorge and {Santill{\'a}n-Aldana}, Julio and Couto Corr{\^e}a Da Silva, Fabiano and Ferreira Ara{\'u}jo, Ronaldo and Enciso Betancourt, Andr{\'e}s Mauricio and Fachin, Juliana},
  year = {2023},
  month = jun,
  journal = {Encontros Bibli: revista eletr{\^o}nica de biblioteconomia e ci{\^e}ncia da informa{\c c}{\~a}o},
  volume = {28},
  issn = {1518-2924},
  doi = {10.5007/1518-2924.2023.e91712},
  url = {https://periodicos.ufsc.br/index.php/eb/article/view/91712},
  urldate = {2024-02-12},
  abstract = {Objetivo: revisar as terminologias e aplica{\c c}{\~o}es da taxonomia de Ci{\^e}ncia Aberta para a constru{\c c}{\~a}o de uma vers{\~a}o mais abrangente, que represente o conhecimento em volta do tema, em conformidade com o cen{\'a}rio atual da comunica{\c c}{\~a}o cient{\'i}fica e com as recomenda{\c c}{\~o}es da Organiza{\c c}{\~a}o das Na{\c c}{\~o}es Unidas para a Educa{\c c}{\~a}o, a Ci{\^e}ncia e a Cultura (Unesco). M{\'e}todo: trata-se de uma pesquisa do tipo explorat{\'o}ria com abordagem dedutiva. A primeira etapa foi a revis{\~a}o das taxonomias, com 12 pesquisadores que se reuniram, semanalmente, para discuss{\~o}es conceituais e epistemol{\'o}gicas relacionadas {\`a} Ci{\^e}ncia Aberta, e defini{\c c}{\~o}es metodol{\'o}gicas e procedimentais para a realiza{\c c}{\~a}o do estudo. Resultados: como resultado das an{\'a}lises, foi desenvolvida uma taxonomia para ser avaliada pelos especialistas. Para isso, foi enviado um question{\'a}rio com perguntas abertas, sobre cada eixo principal da taxonomia, para 68 especialistas. Foram obtidas 21 respostas que cooperaram com a modelagem e exposi{\c c}{\~a}o dos termos para a nova taxonomia. A taxonomia oriunda desse processo de revis{\~a}o tem 10 facetas de n{\'i}vel principal e o total de 96 r{\'o}tulos. Conclus{\~o}es: a percep{\c c}{\~a}o dos especialistas trouxe {\`a} tona um panorama congruente com as recomenda{\c c}{\~o}es da Unesco e do atual cen{\'a}rio da Ci{\^e}ncia Aberta.},
  keywords = {CursoOS,Geral,Lido,OneNote},
  file = {files/9714/Silveira et al_2023_Taxonomia da Ciência Aberta.pdf}
}

@article{ferguson2023,
  title = {Survey of Open Science Practices and Attitudes in the Social Sciences},
  author = {Ferguson, Joel and Littman, Rebecca and Christensen, Garret and Paluck, Elizabeth Levy and Swanson, Nicholas and Wang, Zenan and Miguel, Edward and Birke, David and Pezzuto, John-Henry},
  year = {2023},
  month = sep,
  journal = {Nature Communications},
  volume = {14},
  number = {1},
  pages = {5401},
  issn = {2041-1723},
  doi = {10.1038/s41467-023-41111-1},
  url = {https://www.nature.com/articles/s41467-023-41111-1},
  urldate = {2024-02-14},
  abstract = {Abstract             Open science practices such as posting data or code and pre-registering analyses are increasingly prescribed and debated in the applied sciences, but the actual popularity and lifetime usage of these practices remain unknown. This study provides an assessment of attitudes toward, use of, and perceived norms regarding open science practices from a sample of authors published in top-10 (most-cited) journals and PhD students in top-20 ranked North American departments from four major social science disciplines: economics, political science, psychology, and sociology. We observe largely favorable private attitudes toward widespread lifetime usage (meaning that a researcher has used a particular practice at least once) of open science practices. As of 2020, nearly 90\% of scholars had ever used at least one such practice. Support for posting data or code online is higher (88\% overall support and nearly at the ceiling in some fields) than support for pre-registration (58\% overall). With respect to norms, there is evidence that the scholars in our sample appear to underestimate the use of open science practices in their field. We also document that the reported lifetime prevalence of open science practices increased from 49\% in 2010 to 87\% a decade later.},
  langid = {english},
  keywords = {Escala,Evidencia,Importante,Lido,OneNote,ProjetoOS},
  file = {files/13448/Ferguson et al. (2023) - Supplementary Information.pdf;files/9816/Ferguson et al_2023_Survey of open science practices and attitudes in the social sciences.pdf}
}

@article{gilroy2019,
  title = {Furthering {{Open Science}} in {{Behavior Analysis}}: {{An Introduction}} and {{Tutorial}} for {{Using GitHub}} in {{Research}}},
  shorttitle = {Furthering {{Open Science}} in {{Behavior Analysis}}},
  author = {Gilroy, Shawn P. and Kaplan, Brent A.},
  year = {2019},
  month = sep,
  journal = {Perspectives on Behavior Science},
  volume = {42},
  number = {3},
  pages = {565--581},
  issn = {2520-8969, 2520-8977},
  doi = {10.1007/s40614-019-00202-5},
  url = {http://link.springer.com/10.1007/s40614-019-00202-5},
  urldate = {2024-01-30},
  langid = {english},
  keywords = {artigoCFA,Lido,OneNote,ProjetoOS,Version Control},
  file = {files/7646/Gilroy_Kaplan_2019_Furthering Open Science in Behavior Analysis3.pdf}
}

@article{kathawalla2021,
  title = {Easing {{Into Open Science}}: {{A Guide}} for {{Graduate Students}} and {{Their Advisors}}},
  shorttitle = {Easing {{Into Open Science}}},
  author = {Kathawalla, Ummul-Kiram and Silverstein, Priya and Syed, Moin},
  year = {2021},
  month = jan,
  journal = {Collabra: Psychology},
  volume = {7},
  number = {1},
  pages = {18684},
  issn = {2474-7394},
  doi = {10.1525/collabra.18684},
  url = {https://online.ucpress.edu/collabra/article/doi/10.1525/collabra.18684/115927/Easing-Into-Open-Science-A-Guide-for-Graduate},
  urldate = {2024-01-25},
  abstract = {This article provides a roadmap to assist graduate students and their advisors to engage in open science practices. We suggest eight open science practices that novice graduate students could begin adopting today. The topics we cover include journal clubs, project workflow, preprints, reproducible code, data sharing, transparent writing, preregistration, and registered reports. To address concerns about not knowing how to engage in open science practices, we provide a difficulty rating of each behavior (easy, medium, difficult), present them in order of suggested adoption, and follow the format of what, why, how, and worries. We give graduate students ideas on how to approach conversations with their advisors/collaborators, ideas on how to integrate open science practices within the graduate school framework, and specific resources on how to engage with each behavior. We emphasize that engaging in open science behaviors need not be an all or nothing approach, but rather graduate students can engage with any number of the behaviors outlined.},
  langid = {english},
  keywords = {artigoCFA,Figuras,Importante,Lido,OneNote,ProjetoOS},
  file = {files/7096/Kathawalla et al_2021_Easing Into Open Science.pdf}
}

@article{klein2018,
  title = {A {{Practical Guide}} for {{Transparency}} in {{Psychological Science}}},
  author = {Klein, Olivier and Hardwicke, Tom E. and Aust, Frederik and Breuer, Johannes and Danielsson, Henrik and Mohr, Alicia Hofelich and IJzerman, Hans and Nilsonne, Gustav and Vanpaemel, Wolf and Frank, Michael C.},
  editor = {Nuijten, Mich{\'e}le and Vazire, Simine},
  year = {2018},
  month = jan,
  journal = {Collabra: Psychology},
  volume = {4},
  number = {1},
  pages = {20},
  issn = {2474-7394},
  doi = {10.1525/collabra.158},
  url = {https://online.ucpress.edu/collabra/article/4/1/20/112998/A-Practical-Guide-for-Transparency-in},
  urldate = {2024-01-18},
  abstract = {The credibility of scientific claims depends upon the transparency of the research products upon which they are based (e.g., study protocols, data, materials, and analysis scripts). As psychology navigates a period of unprecedented introspection, user-friendly tools and services that support open science have flourished. However, the plethora of decisions and choices involved can be bewildering. Here we provide a practical guide to help researchers navigate the process of preparing and sharing the products of their research (e.g., choosing a repository, preparing their research products for sharing, structuring folders, etc.). Being an open scientist means adopting a few straightforward research management practices, which lead to less error prone, reproducible research workflows. Further, this adoption can be piecemeal -- each incremental step towards complete transparency adds positive value. Transparent research practices not only improve the efficiency of individual researchers, they enhance the credibility of the knowledge generated by the scientific community.},
  langid = {english},
  keywords = {artigoCFA,Figuras,Importante,Lido,OneNote,Pratica,ProjetoOS},
  file = {files/6840/Klein et al_2018_A Practical Guide for Transparency in Psychological Science.pdf}
}

@incollection{mang2023,
  title = {Reproducibility in 2023 -- {{An End-to-End Template}} for {{Analysis}} and {{Manuscript Writing}}},
  booktitle = {Studies in {{Health Technology}} and {{Informatics}}},
  author = {Mang, Jonathan M. and Prokosch, Hans-Ulrich and Kapsner, Lorenz A.},
  editor = {H{\"a}gglund, Maria and Blusi, Madeleine and Bonacina, Stefano and Nilsson, Lina and Cort Madsen, Inge and Pelayo, Sylvia and Moen, Anne and Benis, Arriel and Lindsk{\"o}ld, Lars and Gallos, Parisis},
  year = {2023},
  month = may,
  publisher = {IOS Press},
  doi = {10.3233/SHTI230064},
  url = {https://ebooks.iospress.nl/doi/10.3233/SHTI230064},
  urldate = {2024-01-26},
  abstract = {Reproducibility imposes some special requirements at different stages of each project, including reproducible workflows for the analysis including to follow best practices regarding code style and to make the creation of the manuscript reproducible as well. Available tools therefore include version control systems such as Git and document creation tools such as Quarto or R Markdown. However, a re-usable project template mapping the entire process from performing the data analysis to finally writing the manuscript in a reproducible manner is yet lacking. This work aims to fill this gap by presenting an open source template for conducting reproducible research projects utilizing a containerized framework for both developing and conducting the analysis and summarizing the results in a manuscript. This template can be used instantly without any customization.},
  isbn = {978-1-64368-388-1 978-1-64368-389-8},
  keywords = {artigoCFA,Figuras,LIdo,OneNote,ProjetoOS,Quarto,R workflow},
  file = {files/7206/Mang et al_2023_Reproducibility in 2023 – An End-to-End Template for Analysis and Manuscript.pdf}
}

@article{peikert2021,
  title = {A {{Reproducible Data Analysis Workflow With R Markdown}}, {{Git}}, {{Make}}, and {{Docker}}},
  author = {Peikert, Aaron and Brandmaier, Andreas M.},
  year = {2021},
  month = may,
  journal = {Quantitative and Computational Methods in Behavioral Sciences},
  volume = {1},
  pages = {e3763},
  issn = {2699-8432},
  doi = {10.5964/qcmb.3763},
  url = {https://qcmb.psychopen.eu/index.php/qcmb/article/view/3763},
  urldate = {2024-01-28},
  abstract = {In this tutorial, we describe a workflow to ensure long-term reproducibility of R-based data analyses. The workflow leverages established tools and practices from software engineering. It combines the benefits of various open-source software tools including R Markdown, Git, Make, and Docker, whose interplay ensures seamless integration of version management, dynamic report generation conforming to various journal styles, and full cross-platform and long-term computational reproducibility. The workflow ensures meeting the primary goals that 1) the reporting of statistical results is consistent with the actual statistical results (dynamic report generation), 2) the analysis exactly reproduces at a later point in time even if the computing platform or software is changed (computational reproducibility), and 3) changes at any time (during development and post-publication) are tracked, tagged, and documented while earlier versions of both data and code remain accessible. While the research community increasingly recognizes dynamic document generation and version management as tools to ensure reproducibility, we demonstrate with practical examples that these alone are not sufficient to ensure long-term computational reproducibility. Combining containerization, dependence management, version management, and dynamic document generation, the proposed workflow increases scientific productivity by facilitating later reproducibility and reuse of code and data.},
  keywords = {artigoCFA,Figuras,Importante,Lido,OneNote,ProjetoOS,R workflow},
  file = {files/7446/Peikert_Brandmaier_2021_A Reproducible Data Analysis Workflow.pdf}
}

@article{peikert2021a,
  title = {Reproducible {{Research}} in {{R}}: {{A Tutorial}} on {{How}} to {{Do}} the {{Same Thing More Than Once}}},
  shorttitle = {Reproducible {{Research}} in {{R}}},
  author = {Peikert, Aaron and Van Lissa, Caspar J. and Brandmaier, Andreas M.},
  year = {2021},
  month = dec,
  journal = {Psych},
  volume = {3},
  number = {4},
  pages = {836--867},
  issn = {2624-8611},
  doi = {10.3390/psych3040053},
  url = {https://www.mdpi.com/2624-8611/3/4/53},
  urldate = {2024-01-18},
  abstract = {Computational reproducibility is the ability to obtain identical results from the same data with the same computer code. It is a building block for transparent and cumulative science because it enables the originator and other researchers, on other computers and later in time, to reproduce and thus understand how results came about, while avoiding a variety of errors that may lead to erroneous reporting of statistical and computational results. In this tutorial, we demonstrate how the R package repro supports researchers in creating fully computationally reproducible research projects with tools from the software engineering community. Building upon this notion of fully automated reproducibility, we present several applications including the preregistration of research plans with code (Preregistration as Code, PAC). PAC eschews all ambiguity of traditional preregistration and offers several more advantages. Making technical advancements that serve reproducibility more widely accessible for researchers holds the potential to innovate the research process and to help it become more productive, credible, and reliable.},
  langid = {english},
  keywords = {artigoCFA,Importante,Lido,OneNote,ProjetoOS,R workflow},
  file = {files/6815/Peikert et al_2021_Reproducible Research in R.pdf}
}

@article{vanlissa2021,
  title = {{{WORCS}}: {{A}} Workflow for Open Reproducible Code in Science},
  shorttitle = {{{WORCS}}},
  author = {Van Lissa, Caspar J. and Brandmaier, Andreas M. and Brinkman, Loek and Lamprecht, Anna-Lena and Peikert, Aaron and Struiksma, Marijn E. and Vreede, Barbara M.I.},
  editor = {Kuhn, Tobias},
  year = {2021},
  month = may,
  journal = {Data Science},
  volume = {4},
  number = {1},
  pages = {29--49},
  issn = {24518492, 24518484},
  doi = {10.3233/DS-210031},
  url = {https://www.medra.org/servlet/aliasResolver?alias=iospress&doi=10.3233/DS-210031},
  urldate = {2024-01-27},
  abstract = {Adopting open science principles can be challenging, requiring conceptual education and training in the use of new tools. This paper introduces the Workflow for Open Reproducible Code in Science (WORCS): A step-by-step procedure that researchers can follow to make a research project open and reproducible. This workflow intends to lower the threshold for adoption of open science principles. It is based on established best practices, and can be used either in parallel to, or in absence of, top-down requirements by journals, institutions, and funding bodies. To facilitate widespread adoption, the WORCS principles have been implemented in the R package worcs, which offers an RStudio project template and utility functions for specific workflow steps. This paper introduces the conceptual workflow, discusses how it meets different standards for open science, and addresses the functionality provided by the R implementation, worcs. This paper is primarily targeted towards scholars conducting research projects in R, conducting research that involves academic prose, analysis code, and tabular data. However, the workflow is flexible enough to accommodate other scenarios, and offers a starting point for customized solutions. The source code for the R package and manuscript, and a list of examplesof WORCS projects, are available at https://github.com/cjvanlissa/worcs.},
  keywords = {artigoCFA,Figuras,Importante,Lido,OneNote,ProjetoOS,R workflow},
  file = {files/7330/Van Lissa et al_2021_WORCS.pdf;files/7331/Van Lissa et al. - 2021 - WORCS A workflow for open reproducible code in sc.pdf}
}

@article{vantveer2016,
  title = {Pre-Registration in Social Psychology---{{A}} Discussion and Suggested Template},
  author = {Van 'T Veer, Anna Elisabeth and {Giner-Sorolla}, Roger},
  year = {2016},
  month = nov,
  journal = {Journal of Experimental Social Psychology},
  volume = {67},
  pages = {2--12},
  issn = {00221031},
  doi = {10.1016/j.jesp.2016.03.004},
  url = {https://linkinghub.elsevier.com/retrieve/pii/S0022103116301925},
  urldate = {2024-01-30},
  langid = {english},
  keywords = {Para LER,Preregistration,ProjetoOS},
  file = {files/7667/Van 'T Veer_Giner-Sorolla_2016_Pre-registration in social psychology—A discussion and suggested template.pdf}
}

@inbook{
  proske2023,
  place={Cham},
  title={Reference Management Systems},
  ISBN={978-3-031-36032-9 978-3-031-36033-6},
  url={https://link.springer.com/10.1007/978-3-031-36033-6_14},
  DOI={10.1007/978-3-031-36033-6_14},
  booktitle={Digital Writing Technologies in Higher Education},
  publisher={Springer International Publishing},
  author={Proske, Antje and Wenzel, Christina and Queitsch, Manuela Barbara},
  editor={Kruse, Otto and Rapp, Christian and Anson, Chris M. and Benetos, Kalliopi and Cotos, Elena and Devitt, Ann and Shibani, Antonette},
  year={2023},
pages={215–230} }

@inbook{
  prashantakumarbehera2023,
  title={Zotero – An Open-Source Reference Management Software: A Practical Manual},
  url={https://osf.io/8s73r/},
  DOI={10.17605/OSF.IO/8S73R},
  publisher={OSF},
  author={Prashanta Kumar Behera and Jain, Sanmati Jinendran},
year={2023} }

@article{
  oddone2024,
  title={Acesso ao conhecimento no contexto da ciência aberta: o segredo da popularidade do Sci-Hub},
  volume={22},
  DOI={https://doi.org/10.20396/rdbci.v22i00.8673883},
  journal={Revista Digital de Biblioteconomia e Ciência da Informação},
  author={Oddone, Nanci and Souza, Leticia Vitória Rodrigues Lima},
year={2024} }

@book{
  thomas2023,
  title={Using Zotero for Citation Management: A Step-by-Step Guide to Organizing and Citing Your Research},
  url={https://kuscholarworks.ku.edu/handle/1808/34983},
  publisher={University of Kansas Libraries},
  author={Thomas, Paul A.},
  year={2023},
month={Aug} }

@book{zandonella2022,
	title = {The open science manual: Make your scientific research accessible and reproducible},
	author = {Zandonella Callegher, Claudio and Massidda, Davide},
	year = {2022},
	date = {2022},
	doi = {10.5281/zenodo.6521850},
	url = {https://arca-dpss.github.io/manual-open-science/},
	note = {DOI: 10.5281/zenodo.6521850
Citation Key: zandonella2022}
}

@article{wilson2017,
	title = {Good enough practices in scientific computing},
	author = {Wilson, Greg and Bryan, Jennifer and Cranston, Karen and Kitzes, Justin and Nederbragt, Lex and Teal, Tracy K.},
	editor = {Ouellette, Francis},
	year = {2017},
	month = {06},
	date = {2017-06-22},
	journal = {PLOS Computational Biology},
	pages = {e1005510},
	volume = {13},
	number = {6},
	doi = {10.1371/journal.pcbi.1005510},
	url = {https://dx.plos.org/10.1371/journal.pcbi.1005510},
	langid = {en}
}