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The Turing Way

This README.md file in also available in 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 project is a book, community, an open-source project and a culture of collaboration. This is shown in four illustrations, the first one showing the Turing Way book, the second showing how the community can grow, the third one showing two people collaborating on a pull request, the last one is showing a balance where reproducibility is valued more than the number of papers published.

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).

This is a screenshot of the online Turing Way book. It also shows one of the Turing Way illustrations at the beginning of the book. In this illustration, there is a road or path with shops for different data science skills. People can go in and out with their shopping cart and pick and choose what they need.

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.

About the Project

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://awesomeopensource.com/project/alan-turing-institute/the-turing-way.

The Team

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.

The project is coordinated by the co-lead investigators Kirstie Whitaker (founder) and Malvika Sharan, and hosted at The Alan Turing Institute. Anne Lee Steele is the Community Manager of The Turing Way since March 2022.

You can read The Turing Way acknowledgement process and Record of Contributions to learn about how we acknowledge your work and how our contributors are highlighted in the project. Please see the Contributors Table for the GitHub profiles of all our contributors.

Contributing

🚧 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.

This image shows six of many kinds of contributions that anyone can make. These are: Develop and share, Maintain and improve, Share resources, Review and update, Make it global through translation, and Share best practices

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.

Citing The Turing Way

We release the latest version of The Turing Way through the project's Zenodo archive using DOI: 10.5281/zenodo.3233853. This DOI is a "concept DOI" which means it will always resolve to the latest version. If you need to cite a specific version you can find those DOIs at the zenodo page above. DOIs allow us to archive the repository and they are really valuable to ensure that the work is tracked in academic publications.

The citation will look something like this:

The Turing Way Community. (2021, November 10). The Turing Way: A handbook for reproducible, ethical and collaborative research. Zenodo. http://doi.org/10.5281/zenodo.3233853

To see our workflow for making releases for different versions and to suggest improvements, please head over to the release workflow document.

You can share the human-readable URL to a page in the book, for example, https://the-turing-way.netlify.app/reproducible-research/overview/overview-definitions.html, but be aware that the project is under development and therefore these links may update over time. You might want to include a web archive link such as https://web.archive.org/web/20191030093753/https://the-turing-way.netlify.com/reproducibility/03/definitions.html to make sure that you don't end up with broken links everywhere!

We really appreciate any references that you make to The Turing Way project in your and we hope it is useful. If you have any questions please get in touch.

Citing The Turing Way Illustrations

This is an example of one of The Turing Way illustrations. It tries to shows the evolution towards an open science era

The Turing Way illustrations are created by artists from Scriberia as part of The Turing Way book dashes in Manchester on 17 May 2019, London on 28 May 2019 and 21 February 2020, and online on 27th November 2020 and 28th May 2021. They depict a variety of content from the handbook, collaborative efforts in the community and The Turing Way project in general. These illustrations are available on Zenodo (https://doi.org/10.5281/zenodo.3332807) under a CC-BY license.

When using any of the images, please include the following attribution:

This image was created by Scriberia for The Turing Way community and is used under a CC-BY licence.

The latest version from Zenodo can be cited as:

The Turing Way Community, & Scriberia. (2021, May 29). Illustrations from the Turing Way book dashes. Zenodo. https://doi.org/10.5281/zenodo.4906004

We have used a few of these illustrations in the Welcome Bot's responses to new members' contributions in this GitHub repository.

Get in Touch

Email

You can contact The Turing Way team by emailing [email protected].

You can also contact Anne Lee Steele ([email protected]), Malvika Sharan ([email protected]) or Kirstie Whitaker ([email protected]).

Chat

Connect with others and discuss your ideas on Slack using this invitation link.

We also have a Gitter chat room (if you prefer an open source alternative for chat) and we'd love for you to swing by to say hello at https://gitter.im/alan-turing-institute/the-turing-way. The room is also accessible with a Matrix account at #alan-turing-institute_the-turing-way:gitter.im.

Recieve Updates

We have a tinyletter mailing list to which we send monthly project updates. Subscribe at https://tinyletter.com/TuringWay.

You can also follow us on Twitter (@turingway).

Contributors

Thanks goes to these wonderful people (emoji key):


Aakash Raj


Abel Siqueira


Achintya Rao


Adina Wagner


Aditi Shenvi


Afzal Ansari


Ago3


Ahmed Essam


Aida Mehonic


Albert Hornos Vidal


Alden Conner


Alejandro


Aleksandra Zaforemska


Alex Bird


Alex Chan


Alex Clarke


Alexander Morley


Ali Seyhun Saral


Ali Seyhun Saral


Ambreen Masud


Andrea Pierr


Andrea Snchez-Tapia (she/her)


Andreea Avramescu


Andrei Alexandru


Andrew Stewart


Andrian Nobella


Angelo Varlotta


Aniketh Varma


Anna Hadjitofi


Anna Krystalli


Annabel Elizabeth Whipp


Anne Fouilloux


Anne Lee Steele


Arielle-Bennett


Arron Lacey


Aryan nath


Augustinas Sukys


Barbara Vreede


Batool


Becki Green


Becky Arnold


Benjamin Mummery


Beth Montague-Hellen


Bouwe Andela


Brandon Lee


Brigitta Sipcz


Bruno Camino


Callum Mole


Cameron Trotter


Camila Rangel Smith


Carlos Martinez


Carlos Vladimiro Gonzlez Zelaya


Cassandra Gould van Praag


Cem Ulus


Chad Gilbert


Chandler Klein


Chanuki Illushka Seresinhe


Charlotte Watson


Chris Holdgraf


Chris Markiewicz


Chris Tomlinson


Christina Hitrova


Christopher Lovell


Clare Liggins


Colin Sauze


Collin Schwantes


DACNC


DaisyParry


Dan Hobley


Dan Kerchner


Danbee Kim


Daniel Lintott


Daniel Mietchen


Daniel Nst


Danny Garside


David Foster


David Gregg


David Stansby


DerienFe


Diego Alonso Alvarez


Dimitra Blana


Dinesh kumar


Edwin Ajong


Eirini Malliaraki


Eirini Zormpa


Elisa-on-GitHub


Elizabeth DuPre


Em K


Enrico Glerean


Eric Daub


Eric Leung


Eric R Scott


Esther Plomp


Evelina Gabasova


Faruk D.


Federico Nanni


Ferran Gonzalez Hernandez


Florian Gilcher


Frances Cooper


Frances Madden


Froguin99


Fuad Reza Pahlevi


Georgia


Georgia Atkinson


Georgia Tomova


Georgiana Elena


Gertjan van den Burg


Gianni Scolaro


Graham Lee


Greg Kiar


Gustavo Becelli do Nacimento


Heidi Seibold


Hieu Hoang


Iain


Ian Hinder


Ikko Ashimine


IsabelBirds


Isil Bilgin


Ismael-KG


JKasmire


Jade Pickering


James Kent


James Myatt


James Robinson


James Thomas


Jamie J Quinn


Jason Gates


Javier Moldon


Jay Dev Jha


Jennifer Ding


Jeremy Crampton


Jeremy Leipzig


Jessica


Jessy Provencher


Jez Cope


Jill Wang


Jim Circadian


Jim Madge


Joanna Leng


Joe Early


Joe Fennell


Johanna Bayer


Joshua Teves


Jos Mara Fernndez


Julia Guiomar Niso Galn


Julien Colomb


K-C-Martin


Katherine Dixey


Kelly-dot


Kesson Magid


Kevin Kunzmann


Kim De Ruyck


Kim De Ruyck


Kirstie Whitaker


Kristijan Armeni


Krunal Rank


Lachlan Mason


Laura Acion


Laura Carter


Lenka


Liberty Hamilton


Lion-admin


Louise Bowler


Lovkush


Luca Bertinetto


Luigi Scalzone


Luke Conibear


Luna


Lupe CaMay


Malvika Sharan


Marcos Ellys Rocha Honorato


Maria Eriksson


Maria del Mar Quiroga


Mariam-ke


Mariana V.


Mariona


Mark Woodbridge


Markus Lning


Marta-MM


Martin O'Reilly


Martina G. Vilas


Mateusz Kuzak


Matthew Evans


Max Joseph


Melissa Black


Michael Grayling


Miguel Rivera


Mustafa Anil Tuncel


Nadia Soliman


Naomi Penfold


Natacha Chenevoy


Natalie Thurlby


Nathan Begbie


Neha Moopen


Neil Chue Hong


Nick Barlow


Nico


Nicols Alessandroni


Nina


Nomi Harris


NotActuallyACat


Obi Thompson Sargoni


Oleg Lavrovsky


Oliver Clark


Oliver Forrest


Oliver Hamelijnck


Oliver Strickson


Oscar Giles


Pablo Rodrguez-Snchez


Patricia Herterich


Patrick Mineault


Paul Dominick Baniqued


Paul Owoicho


Paula Andrea Martinez


Pedro Pinto da Silva


PeterC-ATI


Philip Darke


Phillip Crout


Phome95


Pierre Grimaud


Pooja Gadige


Pranav Mahajan


Przemek Dolata


Rachael Ainsworth


Radka Jersakova


Radovan Bast


Rafaela Queiroz


Rahul Thakare


Raniere Silva


Raul Palma


Reina Camacho Toro


Remi Gau


Reshama Shaikh


Richard Gilham


Richard Plant


Risa Ueno


Robert Precious


Robin Long


Rohit Midha


Romero Silva


Rose Sisk


Rosie Higman


Rosti Readioff


SYU-NING


Samuel Guay


Samuel Nastase


Sander


Sangram K Sahu


Sarah Gibson


Sarah Stewart


SarahAlidoost


Saranjeet Kaur


Sedar Olmez


Sergi


Shankho Boron Ghosh


Sian Bladon


Siba Smarak Panigrahi


Simon Christ


Simon Duerr


Solon


Sophia Batchelor


Sophie J Mann


Sparkler


Srishti Nema


Stefan Janssen


Stefan Verhoeven


Stephan Druskat


Stephen Eglen


Sumera Priyadarsini


Susanna-Assunta Sansone


Sven van der Burg


Tania Allard


Tarek Allam


Tess Gough


Thomas Sandmann


Thya van den Berg


Tim Head


Tim Myers


Tim Powell


Tony Yang


Tushar Rohilla


Veronika Cheplygina


Victoria


Victoria Dominguez del Angel


Warrick Ball


Wiebke Toussaint


Will Hulme


Wolmar Nyberg kerstrm


Xiaoqing Chen


Yanina Bellini Saibene


Yash Varshney


Yini


Yo Yehudi


Yu-Fang Yang


ZoeIngr


abrown41


acork25


akira-endo


alessandroragano


alihumayun


andreabecsek


andrealuppi


ashatitus


beccawilson


benkrikler


ceciledebezenac


claudia-belardi


daniguariso


giuliaok


glumand


griff-rees


harisood


hlnicholls


irenekp


keneuoe


kgrieman


l-gorman


leavanh


lottycoupat


lukehare


mcnanton


mingyuzhuu


mishkanemes


mjcasy


msanter01


oxpeter


peterrhysstrong


rabbits99


rachelzwalker


raptorchief


sallyob123


sethsh7


sliaqat3


smasarone


swalkoAI


takuover


timothy22000


tugceoruc


vasilisstav


vcpope


vhellon


yaseminturkyilmaz

This project follows the all-contributors specification. Contributions of any kind welcome!

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