Introduction
The Turing Way is a flagship project of The Alan Turing Institute. Shared as an open source community-driven handbook on data science, the project promotes best practices for reproducible, ethical, inclusive and collaborative research. To date, 490+ diverse contributors from international organisations have collaborated to develop 300+ chapters and resources, which are available across guides on reproducibility, project design, communication, collaboration, research ethics and community. Hosted under the Tools, Practices and Systems Research Programme, the project draws expertise from the institute’s Community Management, Research Application Management, Academic Skills and Research Engineering Teams.
The Turing Way Practitioners Hub is an extension of The Turing Way that engages and involves industry experts, called Experts in Residence (EiRs), from partnering organisations. This initiative aims to advance their efforts in promoting best practices in data science and AI, especially around open source, open data and reproducibility.
The Practitioners Hub serves as a platform for cross-sector collaboration, knowledge exchange, and strategic partnerships, spanning various sectors and data science initiatives, including but not limited to the small and medium-sized (SME) enterprises in the BridgeAI network. By leveraging a cohort-based approach, we build a shared understanding of open source principles, open data practices, cross-sector collaboration, research reproducibility, and ethical considerations in the context of data science and AI.
Learn more about the project: https://www.turing.ac.uk/turing-way-practitioners-hub
This work is supported by Innovate UK BridgeAI. The project has also received funding and support from the Ecosystem Leadership Award under the EPSRC Grant EP/X03870X/1 & The Alan Turing Institute.