---
title: "Partners and Collaborators"
source: The Turing Way
source_url: https://github.com/the-turing-way/the-turing-way
licence: CC-BY-4.0
domain: data-and-analysis
subdomain: turing-way
date_added: 2026-04-25
---

(aw-collaborators)=
# Partners and Collaborators

_The Turing Way_ works in collaboration and partnership with many communities and organisations.
The project also receives in-kind support through contributions from members who represent their communities, projects or organisations in The Turing way.
These contributions may take different forms, such as sharing of practices, co-creating documentation, designing workshops and presentations, co-hosting events, creating illustrations, providing mentorship, leading or contributing to sub-projects and co-developing other resources.
Some of these contributions also include projects that build alongside or upon The Turing Way resources or collaborate with The Turing Way team members in various capacities.
We acknowledge each of these contributing members individually and list their profiles under “Collaborating organisations and projects”.

## Collaborating Projects - Ongoing

(aw-collaborators-practitioners-hub)=
### *The Turing Way* Practitioners Hub - BridgeAI-funded Project

[Official Webpage](https://www.turing.ac.uk/turing-way-practitioners-hub)

#### Representatives

- [Arielle Bennett](https://book.the-turing-way.org/afterword/contributors-record#arielle-bennett)
- [Alexandra Araujo Alvarez](https://book.the-turing-way.org/afterword/contributors-record#alexandra-araujo-alvarez)

(aw-collaborators-jupyterhub)=
### [JupyterHub - The Turing Way DEI Project](https://chanzuckerberg.com/eoss/proposals/jupyterhub-community-strategic-lead/)

To broaden participation in the JupyterHub community, JupyterHub has collaborated with _The Turing Way_ to create for pathways and programs that provide onboarding and mentorship opportunities for their community members.

#### Representative

- [Kirstie Whitaker](https://book.the-turing-way.org/afterword/contributors-record#kirstie-whitaker)
- [Arielle Bennett](https://book.the-turing-way.org/afterword/contributors-record#arielle-bennett)

(aw-collaborators-dswb)=
### [Data Science Without Borders](https://dswb.africa/open-science/)

The Wellcome Trust-funded Data Science Without Borders (DSWB) is committed to supporting the adoption and use of open science practices and approaches in their work.
The Turing Way is used as a primary reference for curating and sharing practices, as well as identifying gaps where resources can be developed by the DSWB members in collaboration with other interested practitioners.
See, {ref}`Data Science Without Border Pathway<pw-data-science-without-borders>` page for chapters curated for the community.

#### Representative

- [Precious Onyewuchi](https://osponow.com/team/precious-onyewuchi)
- [Malvika Sharan](https://book.the-turing-way.org/afterword/contributors-record#kirstie-whitaker)

## Community Partners

(aw-collaborators-eds)=
### [Environmental Data Science Book](https://edsbook.org/welcome.html)

Environmental Data Science book or EDS book is a living, open and community-driven online resource to showcase and support the publication of data, research and open-source tools for collaborative, reproducible and transparent Environmental Data Science.

#### Representative

- [Alejandro Coca-Castro](https://book.the-turing-way.org/afterword/contributors-record#alejandro-coca), Research Fellow, Environment and Sustainability Grand Challenge Research Programme, The Alan Turing Institute

(aw-collaborators-NHS-R)=
### [NHS-R Way](https://nhsrway.nhsrcommunity.com/)

The NHS-R Community started in 2018 to promote the use of R in the NHS and the community has grown rapidly ever since. 
It is a community that is broader than the NHS as members come from public sector organisations across the UK, including Local Authorities and Civil Service, as well as academics and voluntary sector people who have an interest in healthcare. 
Whilst R is a core language for support by the community, there is always support for data science tools more generally, particularly where they cross over with R.

The NHS-R builds on _The Turing Way_ guide model for the NHS-R community to promote the use of R in healthcare. 
Contributors come from Local Authorities, Civil Service, the Public Sector, Academia, the Voluntary Sector, Charities and individuals with no organisational connection.

#### Representative

- [Zoë Turner](https://book.the-turing-way.org/afterword/contributors-record#zoe-turner), Senior Data Scientist, Strategy Unit

(collaborators-ols)=
### [OLS (Open Life Science)](https://openlifesci.org/)

Under the collaboration name OLS-4 for Turing, _The Turing Way_ collaborates with [OLS](https://openlifesci.org), a programme that helps individuals and stakeholders in research to become Open Science ambassadors.
This collaboration offers training and mentoring to interested members from Turing and The Turing Way communities to join the OLS programme individually or in teams.
They develop Open Science aspects in the projects that they either already have been working on or want to develop.

OLS community members have been collaborating with *The Turing Way* since 2020.

#### Representative

- [Malvika Sharan](https://book.the-turing-way.org/afterword/contributors-record#malvika-sharan)

(collaborators-delft)=
### [Delft University of Technology - Faculty of Applied Sciences](https://www.tudelft.nl/en/faculty-of-applied-sciences)

The Faculty of Applied Sciences is the largest of the Delft University of Technology and focuses on finding innovative solutions to some of the problems faced by society.
Development of the fundamental knowledge needed to underpin technical developments that can be widely used throughout society.
In ensuring that this knowledge can be shared effectively with the wider society, the Faculty values the sharing of data and code and has a [Research Data Management policy](https://www.tudelft.nl/en/library/research-data-management/r/policies/tu-delft-faculty-policies/) in place since 2020.
In this effort, the contributions from the Faculty of Applied Sciences have mainly focused on the Reproducible Research Chapter of _The Turing Way_.

#### Representative

- Current - Lena Karvovskaya
- Previously - [Esther Plomp](https://book.the-turing-way.org/afterword/contributors-record#esther-plomp)

(collaborators-escience)=
### [Netherlands eScience Center](https://www.esciencecenter.nl/)

The Netherlands eScience Center is the Dutch national hub for the development and application of domain overarching software and methods for the scientific community. Their main goal is to enable scientists with varying computing experiences to fully utilize the potential of the available e-infrastructure and allow them to achieve otherwise unreachable scientific breakthroughs. The Netherlands eScience Center is primarily funded by the National Research Council (NWO) and the National e-infrastructure Organization (SURF) of the Netherlands.

The Netherlands eScience Center maintains [its own guide](https://guide.esciencecenter.nl/) for reproducible software development. The focus of the eScience Centre guide has a big overlap with _The Turing Way_ and therefore it makes sense to avoid duplicating efforts. The eScience centre contributes to _The Turing Way_ in the areas which are relevant to the eScience guide. The eScience guide points to _The Turing Way_ in which information would otherwise be duplicated.

#### Representative

- [Carlos Martinez-Ortiz](https://book.the-turing-way.org/afterword/contributors-record#carlos-martinez-oritz), Community Manager - Software Sustainability, Netherlands eScience Center

(collaborators-scilifelab)=
### [SciLifeLab Data Centre](https://www.scilifelab.se/)

SciLifeLab, a national resource offering unique technologies and expertise to life scientists in fields like biomedicine, ecology, and evolution in Sweden, seamlessly integrates with our community of researchers, fostering collaborations across traditional boundaries with industry, healthcare, public research organizations, and international partners.
The SciLifeLab Data Centre serves as a core division within SciLifeLab, tasked with overseeing IT and data management matters, catering to both SciLifeLab as a whole and the Data-Driven Life Science (DDLS) research program.
We are committed to ensuring that research outputs such as data and software are Findable, Accessible, Interoperable, and Reusable (FAIR), adhering to open science principles and best practices, and optimizing the value of these outputs for the scientific community.

#### Representative

- [Christopher Erdmann](https://book.the-turing-way.org/afterword/contributors-record#christopher-erdmann), Head of Open Science, SciLifeLab Data Centre

(collaborators-faircookbook)=
### [FAIR Cookbook](https://fairplus.github.io/the-fair-cookbook/content/home.html)

FAIR Cookbook is an online resource that helps researchers and data managers professionals make their data Findable, Accessible, Interoperable and Reusable (FAIR).
FAIRPlus Cookbook builds on _The Turing Way_ project and community models and provides chapters as "recipes" according to the FAIR elements, audience type, reading time, and level of difficulty.

_The Turing Way_ team members and [project's editorial board members](https://fairplus.github.io/the-fair-cookbook/content/recipes/boilerplate/people.html), Susanna-Assunta Sansone and Philippe Rocca-Serra, collaborate to ensure interoperability between the two resources and exchange experiences as open source project developers.
FAIR Cookbook [features relevant chapters from _The Turing Way_](https://fairplus.github.io/the-fair-cookbook/search.html?q=turing+way).
Similarly, _The Turing Way_ features the project and provides an impact story titled [From FAIR Co-Author to FAIR Doer](https://book.the-turing-way.org/reproducible-research/rdm/rdm-stories.html) by Susanna-Assunta Sansone (a co-lead of the FAIR Cookbook project).
You can find more details and background in the chapter [Leveraging the Turing Way Book](https://fairplus.github.io/the-fair-cookbook/content/recipes/introduction/the-turing-way.html?highlight=turing).

#### Representative

- [Susanna-Assunta Sansone](https://book.the-turing-way.org/afterword/contributors-record#susanna-assunta-sansone), University of Oxford, Academic Lead for Research Practice; Professor of Data Readiness

## Collaborating Projects - Concluded

### Professionalising Data Science Roles - Turing's Skills Policy Award

[GitHub repo](https://github.com/alan-turing-institute/professionalising-data-science-roles)

#### People

- [Emma Karoune](https://book.the-turing-way.org/afterword/contributors-record#emma-karoune)
- [Malvika Sharan](https://book.the-turing-way.org/afterword/contributors-record#malvika-sharan)
- [Alexandra Araujo Alvarez](https://book.the-turing-way.org/afterword/contributors-record#alexandra-araujo-alvarez)

### Pathways Python Package for Curated Access to Book Chapters

- [GitHub repo in The Turing Way](https://github.com/the-turing-way/pathways)
- [prototype repo in the Turing organisation](https://github.com/alan-turing-institute/bio-Turing-Way/)

#### Developers

- May Yong, Iain Stanson, Lydia France, Malvika Sharan: funded by AI for Science and Government in 2021-2022
- Arya A., Johanna Bayer, Malvika Sharan: 2023 Google Summer of Code (GSoC)

### Data Science Project Management for Project Leaders

- [GitHub repo in the Turing organisation](https://github.com/alan-turing-institute/data-training-for-bioscience)
- Materials are hosted under The Carpentries incubator
    - lesson 1: [introduction to AI and Data Science](https://github.com/carpentries-incubator/managing-computational-projects)
    - lesson 2: [open and reproducible practices](https://github.com/carpentries-incubator/data-science-ai-senior-researchers) featuring *The Turing Way* resources.

#### Developers

- Malvika Sharan, Lydia France, Federico Nanni: : funded by AI for Science and Government in 2021-2022
- Julien Colomb (in-kind from TU Berlin) and Jo Havemamm from Access to Perspective (funded by the Turing's Health Research Programme): 2023

### Cite.Software: Centalising Recommendation for Research Stakeholders

[Pathway for Software Citation](https://book.the-turing-way.org/pathways/pathways-software-citation/)

#### People

- [Christopher Erdmann](https://book.the-turing-way.org/afterword/contributors-record#christopher-erdmann)
- [Malvika Sharan](https://book.the-turing-way.org/afterword/contributors-record#malvika-sharan)

### Recognising Research Infrastructure Roles (RIR)

[Article in Journal of Trial & Error](https://journal.trialanderror.org/pub/manifesto-rewarding-recognizing/release/1)

#### People

- [Arielle Bennett](https://book.the-turing-way.org/afterword/contributors-record#arielle-bennett)
- [Esther Plomp](https://book.the-turing-way.org/afterword/contributors-record#esther-plomp)
- [Danny Garside](https://book.the-turing-way.org/afterword/contributors-record#danny-garside)
- [Hao Ye](https://www.weecology.org/author/hao-ye/)
