Open science for enabling reproducible, ethical and collaborative research: Insights from The Turing Way

Closing message: "Many facets of open science should not be taken as restriction or distraction, but as scientific freedom. You can learn, unlearn, challenge, dismantle and rebuild research infrastructure that prioritises reproducible, ethical and collaborative research for collective benefit. Through radical imagination let open science be your superpower."

In this talk, I discuss open science as a framework to ensure that all our research components can be easily accessed, openly examined and built upon by others. I will introduce The Turing Way - an open source, open collaboration and community-driven guide to reproducible, ethical and inclusive data science and research. Drawing insights from the project, I share best practices that researchers should integrate to ensure the highest reproducible and ethical standards from the start of their projects so that their research work is easy to reuse and reproduce at all stages of the development. All attendees will leave the talk understanding the many dimensions of openness and how they can participate in an inclusive, kind and inspiring open source ecosystem as they collaboratively seek to improve research culture. All questions and contributions are welcome at the GitHub repository: https://github.com/alan-turing-institute/the-turing-way.

Home page: 

https://malvikasharan.github.io/