Add and organise proposals from last year #3600
Open
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
…rastructure-insights-fund.md
✅ Deploy Preview for the-turing-way ready!
To edit notification comments on pull requests, go to your Netlify site configuration. |
…rkshop-application.md
malvikasharan
requested review from
KirstieJane,
aleesteele,
ArielleBL and
Arielle-Bennett
aleesteele
reviewed
May 7, 2024
|
|
||
| Dr. Whitaker now is the director of Tools, Practices and Systems (TPS) Research Programme which represents a cross-cutting set of initiatives which seek to build open source infrastructure that is accessible to all and to empower a global, decentralised network of people who connect data with domain experts. Dr. Sharan, who started as the community manager of _The Turing Way_ in 2019, now leads a team of Community Managers in TPS who contribute toward building interconnected systems of open-source software, datasets, communities and processes. Under their leadership, _The Turing Way_ is a flagship project at The Alan Turing Institute. Their team members join The Turing Way core teams and help ensure that best practices are embedded across all projects at the Institute and the broader data science ecosystem. All TPS members drive the adoption of open, reproducible, ethical and inclusive approaches in research projects by collaborating with different groups working across training, academic engagement, public policy, research engineering, EDI (Equality Diversity & Inclusion) and health research in the UK. They also mentor and support researchers to contribute back to _The Turing Way_ in a bi-directional model of peer knowledge exchange. Long-term investments are being made by the institute to establish a **Practitioners Hub** ([read the proposal for details](https://zenodo.org/record/7427274)). This effort will extend the impact of _The Turing Way_ by creating opportunities for data practitioners and their organisations to enhance awareness of best practices and promote quality in research through cross-sector collaboration. | ||
|
|
||
| The Turing Way project is a working example of team science, using a wide community to define the standards and expectations the community would like to see in responsible, ethical and quality research practice. The Turing Way guides seek to provide all the information that researchers need at the start of their projects to ensure that they are conducting research that is easy to reuse and reproduce at the end. _The Turing Way_ team hasn’t produced these guides by choosing a select group of people to decide what is “best practice”. Their success lies in the diversity of contributors, the contributions they make to the project and the impact seen on the wider STEM sector. Managed by a core team of 18 members from The Alan Turing Institute and more widely from the international volunteer community, _The Turing Way_ now boasts over 325 contributors, who have collectively written over 260 pages across 54 chapters to date. All collaborations and development processes occur in the open, challenging the disconnected and isolated nature of the traditional academic research process. Contributors include researchers, open science practitioners, educators, policymakers and data experts across academia, government and industry, in various domains, at all levels of seniority, representing countries including Australia, Argentina, Brazil, Germany, India, the Netherlands, Saudi Arabia, South Africa, Uganda, UK, USA, Venezuela and beyond. Based on web traffic monitoring coupled with references in more than 3500 monthly visitors, 100+ online publications, 30+ citations in peer-reviewed articles and personal testimonials, The Turing Way has thousands of users worldwide in academia, industry, open communities and the public sector. |
There was a problem hiding this comment.
Suggested change
| The Turing Way project is a working example of team science, using a wide community to define the standards and expectations the community would like to see in responsible, ethical and quality research practice. The Turing Way guides seek to provide all the information that researchers need at the start of their projects to ensure that they are conducting research that is easy to reuse and reproduce at the end. _The Turing Way_ team hasn’t produced these guides by choosing a select group of people to decide what is “best practice”. Their success lies in the diversity of contributors, the contributions they make to the project and the impact seen on the wider STEM sector. Managed by a core team of 18 members from The Alan Turing Institute and more widely from the international volunteer community, _The Turing Way_ now boasts over 325 contributors, who have collectively written over 260 pages across 54 chapters to date. All collaborations and development processes occur in the open, challenging the disconnected and isolated nature of the traditional academic research process. Contributors include researchers, open science practitioners, educators, policymakers and data experts across academia, government and industry, in various domains, at all levels of seniority, representing countries including Australia, Argentina, Brazil, Germany, India, the Netherlands, Saudi Arabia, South Africa, Uganda, UK, USA, Venezuela and beyond. Based on web traffic monitoring coupled with references in more than 3500 monthly visitors, 100+ online publications, 30+ citations in peer-reviewed articles and personal testimonials, The Turing Way has thousands of users worldwide in academia, industry, open communities and the public sector. | |
| _The Turing Way_ project is a working example of team science, using a wide community to define the standards and expectations the community would like to see in responsible, ethical and quality research practice. _The Turing Way_ guides seek to provide all the information that researchers need at the start of their projects to ensure that they are conducting research that is easy to reuse and reproduce at the end. _The Turing Way_ team hasn’t produced these guides by choosing a select group of people to decide what is “best practice”. Their success lies in the diversity of contributors, the contributions they make to the project and the impact seen on the wider STEM sector. Managed by a core team of 18 members from The Alan Turing Institute and more widely from the international volunteer community, _The Turing Way_ now boasts over 325 contributors, who have collectively written over 260 pages across 54 chapters to date. All collaborations and development processes occur in the open, challenging the disconnected and isolated nature of the traditional academic research process. Contributors include researchers, open science practitioners, educators, policymakers and data experts across academia, government and industry, in various domains, at all levels of seniority, representing countries including Australia, Argentina, Brazil, Germany, India, the Netherlands, Saudi Arabia, South Africa, Uganda, UK, USA, Venezuela and beyond. Based on web traffic monitoring coupled with references in more than 3500 monthly visitors, 100+ online publications, 30+ citations in peer-reviewed articles and personal testimonials, The Turing Way has thousands of users worldwide in academia, industry, open communities and the public sector. |
aleesteele
reviewed
May 7, 2024
| - Category: Practices | ||
| - Submitter: Emma Karoune | ||
|
|
||
| The Turing Way’s goal is to provide all the information that researchers need at the start of their projects to ensure that they are easy to reproduce at the end. It is an open-source project that involves and supports its diverse community to make data science reproducible, ethical, collaborative and inclusive for everyone. |
There was a problem hiding this comment.
Suggested change
| The Turing Way’s goal is to provide all the information that researchers need at the start of their projects to ensure that they are easy to reproduce at the end. It is an open-source project that involves and supports its diverse community to make data science reproducible, ethical, collaborative and inclusive for everyone. | |
| _The Turing Way_’s goal is to provide all the information that researchers need at the start of their projects to ensure that they are easy to reproduce at the end. It is an open-source project that involves and supports its diverse community to make data science reproducible, ethical, collaborative and inclusive for everyone. |
aleesteele
reviewed
May 7, 2024
|
|
||
| The project was conceived and is led by Kirstie Whitaker, the lead of the Tools, Practices and Systems Programme at The Alan Turing Institute. The Community Manager, Malvika Sharan, plays an important role in bringing together the community at regular events and nurturing contributions to the ever-expanding resource, an online book. | ||
| The book currently has five guides (Reproducibility, Project Design, Communication, Collaboration and Ethical Research), and a Community handbook. Each guide is a work in progress, as we encourage everyone to keep adding to this resource. | ||
| However, The Turing Way is much more than a book: it is a community of practice based around the moonshot goal of making reproducible research ‘too easy not to do’. The outputs belong to The Turing Way community and everyone can freely read, reuse, distribute, modify, and contribute back to the resources in the book. The project is built on open source infrastructure such as Git, Jupiter Book and Netlify. |
There was a problem hiding this comment.
Suggested change
| However, The Turing Way is much more than a book: it is a community of practice based around the moonshot goal of making reproducible research ‘too easy not to do’. The outputs belong to The Turing Way community and everyone can freely read, reuse, distribute, modify, and contribute back to the resources in the book. The project is built on open source infrastructure such as Git, Jupiter Book and Netlify. | |
| However, _The Turing Way_ is much more than a book: it is a community of practice based around the moonshot goal of making reproducible research ‘too easy not to do’. The outputs belong to The Turing Way community and everyone can freely read, reuse, distribute, modify, and contribute back to the resources in the book. The project is built on open source infrastructure such as Git, Jupiter Book and Netlify. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Summary
List of changes proposed in this PR (pull-request)
What should a reviewer concentrate their feedback on?
Acknowledging contributors