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This README.md file in also available in Chinese (README-Chinese), Dutch (README-Dutch), French (README-French.md), German (README-German.md), Indonesian (README-Indonesian), Italian (README-Italian), Korean (README-Korean), Portuguese (README-Portuguese), and Spanish (README-Spanish) (listed alphabetically).
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Welcome to The Turing Way project GitHub repository. This is where all the components of the project are developed, reviewed and maintained.
The Turing Way is a handbook to reproducible, ethical and collaborative data science. We involve and support a diverse community of contributors to make data science accessible, comprehensible and effective for everyone. Our goal is to provide all the information that researchers and data scientists in academia, industry and the public sector need at the start of their projects to ensure that they are easy to reproduce at the end.
The Turing Way is a book, a community and a global collaboration.
All stakeholders, including students, researchers, software engineers, project leaders and funding teams, are encouraged to use The Turing Way to understand their roles and responsibility of reproducibility in data science. You can read the book online, contribute to the project as described in our contribution guidelines and re-use all materials (see the License). We also invite you to contribute to the translation of The Turing Way into different languages and help make research reproducibility accessible to a wider global audience. If you are interested in contributing, please refer to the guidelines provided in the book's handbook and join our collaborative efforts.
Screenshot of The Turing Way online book (use this image in a presentation)
Started in 2019 as a lightly opinionated guide to data science, The Turing Way has since expanded into a series of guides on Reproducible Research, Project Design, Communication, Collaboration and Ethical Research. Each guide offers chapters on a range of topics covering best practices, guidance and recommendations. These chapters have been co-authored by contributors who are students, researchers, educators, community leaders, policy-makers and professionals from diverse backgrounds, lived experiences and domain knowledge.
Our moonshot goal is to make reproducibility "too easy not to do".
Table of Contents:
🎧 If you prefer an audio introduction to the project, our team member Rachael presented at the Open Science Fair 2019 in Porto and her demo was recorded by the Orion podcast. The Turing Way overview starts at minute 5:13.
Reproducible research is necessary to ensure that scientific work can be trusted. Funders and publishers are beginning to require that publications include access to the underlying data and the analysis code. The goal is to ensure that all results can be independently verified and built upon in future work. This is sometimes easier said than done. Sharing these research outputs means understanding data management, library sciences, software development, and continuous integration techniques: skills that are not widely taught or expected of academic researchers and data scientists. As these activities are not commonly taught, we recognise that the burden of requirement and new skill acquisition can be intimidating to individuals who are new to this world. The Turing Way is a handbook to support students, their supervisors, funders and journal editors in ensuring that reproducible data science is "too easy not to do" even for people who have never worked in this way before. It will include training material on version control, analysis testing, and open and transparent communication with future users, and build on Turing Institute case studies and workshops. This project is openly developed and any and all questions, comments and recommendations are welcome at our GitHub repository: https://github.com/the-turing-way/the-turing-way.
The Turing Way is an open collaboration and community-driven project. Everyone who contributes to this book, no matter how small or big their contributions are, is recognised in this project as a contributor and a community member. Long-term contributors of the project are considered part of the core contributors groups who take on various leadership roles in the project, as described in the Governance Roles document.
The Project Delivery team, currently funded by The Alan Turing Institute, support and delivery of the community and project management responsibilities. The team members are listed in the Governance Roles document.
They support the maintenance of a Record of Contributions and apply The Turing Way acknowledgement process to recognise and credit their contributions in The Turing Way. Please see the Contributors Table for the GitHub profiles of all our contributors.
🚧 This repository is always a work in progress and everyone is encouraged to help us build something that is useful to the many. 🚧
Everyone who joins the project is expected to follow our code of conduct and to check out our contributing guidelines for more information on how to get started. We want to meet our contributors where they are. Therefore, we provide multiple entry points for you to contribute based on your interest, availability or skill requirements.
Contributions include development and sharing of new chapters; maintenance and improvement of existing chapters; sharing The Turing Way resources; review and updating of previously developed materials; translating its chapter to help make this project globally accessible, and sharing best practices in research.
Community members are provided with opportunities to learn new skills, share their ideas and collaborate with others. They are also given mentorship opportunities in the project as they make their contributions to The Turing Way or other open source projects and are encouraged to mentor new participants of the project.
We have created a promotion pack to help you in presenting and sharing about The Turing Way in your network.
All materials in The Turing Way are available under a CC-BY 4.0 licence. For details about citing The Turing Way resources, please refer to the cite The Turing Way chapter in the Foreword of the book.
The citation for the book will look something like:
The Turing Way Community. (2022). The Turing Way: A handbook for reproducible, ethical and collaborative research (1.0.2). Zenodo. DOI 10.5281/zenodo.3233853.
The citation for our illustrations will look something like:
The Turing Way Community, & Scriberia. (2020, March 3). Illustrations from the Turing Way book dashes. Zenodo. http://doi.org/10.5281/zenodo.3332807.
You can cite other assets shared by The Turing Way community using DOI listed in the project's Zenodo community page: zenodo.org/communities/the-turing-way.
You can contact The Turing Way team by emailing theturingway@gmail.com or turingway@turing.ac.uk.
Connect with others and discuss your ideas on Slack using this invitation link.
We have a buttondown mailing list to which we send monthly project updates. Subscribe at https://buttondown.email/turingway/.
You can also follow us on Mastodon, Bluesky and Linkedin.
Thanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind welcome!
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