Anne Lee Steele

The Turing Way - an open guidebook for data science and research - emerged in response to the crisis of reproducibility in science, amidst a growing movement for new ways of managing research data: through initiatives such as the FAIR principles and various open source software projects. As the movement has matured, it has also entered a new phase that has asked different questions about its sustainability, governance, funding, and diversity. As these questions have evolved, so has the wider landscape of technology more broadly, pushing back against the ethos of ‘moving fast and breaking things’ as questions of maintenance come to the forefront. This talk discusses open source maintenance in the context of The Turing Way, within computational communities and open science more broadly: extending into the culture of research itself. It discusses the tensions between developing new ideas to change research culture and the cultivation of maintenance as an ethos for developing, contributing to, and participating in an open source community like The Turing Way.

Other people: Danny Garside

The Turing Way is an open-source, community-led, and collaboratively developed project on making data science and research skills accessible, comprehensible, and beneficial for a wider research community. We bring together individuals from diverse fields and expertise to develop practices and learning resources that can make data research comprehensible and useful for everyone, as well as translate these tools and ways of working across cultural and disciplinary contexts. These resources are organised as an online book with over 250 chapters across five guides on reproducibility, project design, collaboration, communication and ethics in research. This talk will introduce The Turing Way project, and invite participants to get involved. All questions, comments, recommendations, and discussions are facilitated through an online GitHub repository.

The Turing Way is an open-source, community-led, and collaboratively developed project on making data science and research skills accessible, comprehensible, and beneficial for a wider research community. We bring together individuals from diverse fields and expertise to develop practices and learning resources that can make data research comprehensible and useful for everyone, as well as translate these tools and ways of working across cultural and disciplinary contexts. These resources are organised as an online book with over 250 chapters across five guides on reproducibility, project design, collaboration, communication and ethics in research.

This talk will introduce The Turing Way project, how it has evolved over time, and invite participants to get involved. All questions, comments, recommendations, and discussions are facilitated through an online GitHub repository.