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The Turing Way

Join the chat at https://gitter.im/alan-turing-institute/the-turing-way Join our tinyletter mailing list All Contributors Read the book

The Turing Way is a lightly opinionated guide to reproducible data science.

Our goal is to provide all the information that researchers need at the start of their projects to ensure that they are easy to reproduce at the end.

This also means making sure PhD students, postdocs, PIs and funding teams know which parts of the "responsibility of reproducibility" they can affect, and what they should do to nudge data science to being more efficient, effective and understandable.

Table of contents:

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://github.com/alan-turing-institute/the-turing-way.

The team

This is the (part of) the project team planning work at the Turing Institute. For more on how to contact us, see the ways of working document.

Team photo

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 is asked to follow our code of conduct and to checkout our contributing guidelines for more information on how to get started.

If you are not familiar or confident contributing on GitHub, you can also contribute a case study and your tips and tricks via our Google submission form.

Get in touch

We have a gitter chat room and we'd love for you to swing by to say hello at https://gitter.im/alan-turing-institute/the-turing-way.

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

You can contact the PI of the Turing Way project - Kirstie Whitaker - by email at kwhitaker@turing.ac.uk.

Contributors

Thanks goes to these wonderful people (emoji key):

Rachael Ainsworth
Rachael Ainsworth

πŸ“– πŸ“‹ πŸ€” πŸ’¬ πŸ‘€ πŸ“’
Tarek Allam
Tarek Allam

πŸš‡ πŸ“–
Tania Allard
Tania Allard

πŸ€” πŸ’¬
Becky Arnold
Becky Arnold

πŸ’¬ πŸ’» πŸ“– πŸ€” πŸ‘€
Louise Bowler
Louise Bowler

πŸ’¬ πŸ’» πŸ“– πŸ’‘ πŸ€” πŸ“‹ πŸ‘€
Stephan Druskat
Stephan Druskat

πŸ“–
Stephen Eglen
Stephen Eglen

πŸ‘€
Oliver Forrest
Oliver Forrest

πŸ“– πŸ€”
Jason Gates
Jason Gates

πŸ“– πŸ‘€
Sarah Gibson
Sarah Gibson

πŸ’¬ πŸ’» πŸ“– πŸ”§ πŸ‘€ πŸ“’ πŸ€” βœ…
Richard Gilham
Richard Gilham

πŸ“– πŸ€”
Tim Head
Tim Head

πŸ’¬ πŸ€”
Patricia Herterich
Patricia Herterich

πŸ’¬ πŸ“– πŸ‘€ πŸ€” πŸ–‹
Rosie Higman
Rosie Higman

πŸ’¬ πŸ“‹ πŸ‘€ πŸ€”
Ian Hinder
Ian Hinder

πŸ“–
Hieu Hoang
Hieu Hoang

πŸ€”
Dan Hobley
Dan Hobley

πŸ“–
Chris Holdgraf
Chris Holdgraf

πŸ’¬ πŸ€”
Will Hulme
Will Hulme

πŸ“–
Anna Krystalli
Anna Krystalli

πŸ’¬ πŸ’‘ πŸ‘€ πŸ€”
Clare Liggins
Clare Liggins

πŸ“–
Robin Long
Robin Long

πŸ“–
Alexander Morley
Alexander Morley

πŸ’¬ πŸ‘€ πŸ€” ⚠️
Martin O'Reilly
Martin O'Reilly

πŸ’¬ πŸ”§ πŸ€”
Rosti Readioff
Rosti Readioff

πŸ“–
James Robinson
James Robinson

πŸ€” πŸ’»
Ali Seyhun Saral
Ali Seyhun Saral

πŸ“–
Andrew Stewart
Andrew Stewart

βœ…
Sarah Stewart
Sarah Stewart

πŸ“–
Oliver Strickson
Oliver Strickson

πŸ’¬ πŸ“–
Gertjan van den Burg
Gertjan van den Burg

πŸ“– πŸ€” πŸ’¬
Kirstie Whitaker
Kirstie Whitaker

πŸ’¬ πŸ“– 🎨 πŸ“‹ πŸ” πŸ€” πŸ‘€ πŸ“’
Yo Yehudi
Yo Yehudi

πŸ“– πŸ‘€
jspickering
jspickering

πŸ“–
Alex Clarke
Alex Clarke

πŸ“–
Javier Moldon
Javier Moldon

πŸ“–
joe-fennell
joe-fennell

πŸ“–
Greg Kiar
Greg Kiar

πŸ“– πŸ‘€
Beth Montague-Hellen
Beth Montague-Hellen

πŸ“–
OliJimbo
OliJimbo

πŸ“–
Jez Cope
Jez Cope

πŸ“–
Chanuki Illushka Seresinhe
Chanuki Illushka Seresinhe

πŸ“–
Diego
Diego

πŸ€” πŸ‘€
nadiasoliman
nadiasoliman

πŸ“–
NatalieThurlby
NatalieThurlby

πŸ’» ⚠️
Michael J Grayling
Michael J Grayling

πŸ“–
Lachlan Mason
Lachlan Mason

πŸ€” πŸ“– πŸ’»
Susanna-Assunta Sansone
Susanna-Assunta Sansone

πŸ“–
taunsquared
taunsquared

πŸ“–
Eric Daub
Eric Daub

πŸ“–
Camila Rangel Smith
Camila Rangel Smith

πŸ“–
Oscar T Giles
Oscar T Giles

πŸ“–
cassgvp
cassgvp

πŸ€” πŸ“–
Malvika Sharan
Malvika Sharan

πŸ“–
Kevin Kunzmann
Kevin Kunzmann

πŸ“– πŸ€”
Eirini Malliaraki
Eirini Malliaraki

πŸ“–
James Myatt
James Myatt

πŸ“–
James Kent
James Kent

πŸ›
Liberty Hamilton
Liberty Hamilton

πŸ›
RohitMidha23
RohitMidha23

πŸ“–
Elizabeth DuPre
Elizabeth DuPre

πŸš‡ πŸ’¬

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

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