A project management repository for The Turing Way Practitioners Hub

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, 400+ 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. To embed data science best practices and community expertise into different sectors, we are launching The Turing Way Practitioners Hub this year.

The Turing Way Practitioners Hub is an extension of The Turing Way to engage directly with experts from partnering organisations in their efforts to promote data science best practices. The Practitioners Hub provides a forum for cross-sector engagement, knowledge exchange and strategic collaboration across academia, research, engineering systems, government and healthcare-leading data science initiatives. Through the involvement of domain experts from different sectors, the Practitioners Hub will enable systematic approaches for building a shared understanding of open science, reproducibility, accessibility and research ethics to enhance quality, rigour and integrity in data science and AI.

The first “Experts in Residence” (EiR) cohort has been joined by the data science best practice champions from the British Antarctic Survey, Energy Systems Catapult, Genomics England, and Office of National Statistics and Digihaul. Learn about our EiRs on our website: https://www.turing.ac.uk/research/research-projects/turing-way-practitioners-hub.

In this repository you will find the following information:

• Cohort Activity Plan
• Training Notes
• Case Studies and Reports
• The Turing Way Practitioners Hub and BridgeAI Engagement plan

In addition, you can find the Turing Way Practitioners Hub introductory presentation online.

Project Members

• Dr Malvika Sharan, TPS Senior Researcher - Open Research, Co-Lead of The Turing Way
• Alexandra Araujo Alvarez, Research Project Manager - The Turing Way
• Dr Kirstie Whitaker, TPS Programme Director

TPS Contributors

• Shane Conneely, Partnership Development Lead
• Arielle Bennett, TPS Programme Manager
• Anne Lee Steele, Research Community Manager - The Turing Way
• Jennifer Ding, Research Application Manager - Acting Senior Researcher

Case Study liaisons

• Stuart Gillespie, External technical writer
• Lucy Killoran, Enrichment Student, The Alan Turing Institute
• Arielle Bennett, Programme Manager, The Alan Turing Institute
• Vicky Hellon, Research Community Manager, The Alan Turing Institute

Previous project members

• Cami Rincón, Research Application Officer

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.

For any organisation-related queries or concerns, you can directly reach out to Malvika Sharan by emailing [email protected] or Alexandra Araujo Alvarez ([email protected])

Five organisations have joined the hub, and five Experts in Residence (EiRs) have been onboarded

• Survey the goals and purpose of each EiR
• Host online kick-off event
• Plan the in-person event in the second month
• Set up meetings with the technical writer to work with EiRs in the first 3 months
• Set up framework and process for the technical writing
• Build and centralise resources for the entire cohort
• Launch the website
• Schedule workshops for each month (UX, Community, Skills)
• Host in-person resident workshop
• Organise a final Celebration day

Proposal funded and the work begins

• Proposal sharing in Zenodo: https://zenodo.org/record/7427274
  • Cite as: Sharan, Malvika, & Bennett, Arielle. (2022). The Turing Way Practitioners Hub - Turing Funded Proposal 2022. Zenodo. https://doi.org/10.5281/zenodo.7427274
• Recruitment
  • Research Project Manager
  • Revise and open Senior Research Associate recruitment
  • Contract a freelance technical writer for the first cohort
  • Contract Open Source consultants for the first cohort
• Create a primer document to share with invited organisations
• Invite five organisations from different sectors
• Hold an onboarding and intro call for each org
• Align the timeline with the BridgeAI project
• Work with the Skills and Digital Catapult to put together a timeline
• Create a full 6 months timeline for the cohort members
• Identify internal stakeholders and where they will engage
• Hold 1:1 planning meetings with each org directly working with the TPS team
• [ ] Get 2-3 alumni org from Digital Catapult (DC) to work in the first cohort
• Onboard a startup from BridgeAI network
• Build agreement/MoU with each org, identify experts in residence
• Onboard the Senior Research Associate -- paused
• Launch the cohort with Experts in Residence
• Cohort plans are listed here

Inspired by Cookie Cutter Data Science.

├── LICENSE
├── README.md          <- The top-level README for users of this project.
├── CODE_OF_CONDUCT.md <- Guidelines for users and contributors of the project.
├── CONTRIBUTING.md    <- Information on how to contribute to the project.
├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc.
├── images             <- Generated graphics and figures to be used in reporting
├── project_management <- Meeting notes and other project planning resources
└──

This work is licensed under the MIT license (code) and Creative Commons Attribution 4.0 International license (for documentation). You are free to share and adapt the material for any purpose, even commercially, as long as you provide attribution (give appropriate credit, provide a link to the license, and indicate if changes were made) in any reasonable manner, but not in any way that suggests the licensor endorses you or your use, and with no additional restrictions.

Thanks goes to these wonderful people (emoji key):

Malvika Sharan 🤔 🖋 🎨 🔍 🚧 📢

Arielle-Bennett 🖋 🎨 🔍

Alexandra Araujo Alvarez 📆 🖋

Kirstie Whitaker 📢

Jennifer Ding 🤔

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