Exploring the intersection of data science and open practices at British Antarctic Survey

This case study is published under The Turing Way Practitioners Hub Cohort 1 - case study series. The Practitioners Hub is a The Turing Way project that works with experts from partnering organisations to promote data science best practices. In 2023, The Turing Way team partnered with five organisat...

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Main Authors: The Alan Turing Institute, British Antarctic Survey
Other Authors: Gillespie, Stuart, Byrne, James, Clark, Melody, Gascoyne, Matthew, Stephenson, Lucy, Araujo Alvarez, Alexandra, Whitaker, Kirstie, Sharan, Malvika
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2023
Subjects:
Online Access:https://doi.org/10.5281/zenodo.10337801
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spelling ftzenodo:oai:zenodo.org:10337801 2024-09-09T19:03:41+00:00 Exploring the intersection of data science and open practices at British Antarctic Survey The Alan Turing Institute British Antarctic Survey Gillespie, Stuart Byrne, James Clark, Melody Gascoyne, Matthew Stephenson, Lucy Araujo Alvarez, Alexandra Whitaker, Kirstie Sharan, Malvika 2023-12-11 https://doi.org/10.5281/zenodo.10337801 unknown Zenodo https://zenodo.org/communities/the-turing-way-practitioners https://zenodo.org/communities/the-turing-way https://doi.org/10.5281/zenodo.10337800 https://doi.org/10.5281/zenodo.10337801 oai:zenodo.org:10337801 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/other 2023 ftzenodo https://doi.org/10.5281/zenodo.1033780110.5281/zenodo.10337800 2024-07-26T04:15:25Z This case study is published under The Turing Way Practitioners Hub Cohort 1 - case study series. The Practitioners Hub is a The Turing Way project that works with experts from partnering organisations to promote data science best practices. In 2023, The Turing Way team partnered with five organisations in the UK including British Antarctic Survey . This work is supported by Innovate UK BridgeAI . The Practitioners Hub has also received funding and support from the Ecosystem Leadership Award under the EPSRC Grant EP/X03870X/1 and The Alan Turing Institute . We thank Lucy Stephenson, Scientific Data Coordinator in the UK Polar Data Centre at British Antarctic Survey and an Expert in Residence for the first cohort of The Turing Way Practitioners Hub, for facilitating the development of this case study. The inaugural cohort of The Turing Way Practitioners Hub has been designed and led by Dr Malvika Sharan. The Research Project Manager is Alexandra Araujo Alvarez. Stuart Gillespie is the technical writer for this case study, and others in the series. Cami Rincón, previous Research Applications Officer at the Turing Institute, contributed to the development of the Case Study Framework in this project. Stuart and Cami also served as The Turing Way liaisons to the BAS contributors and the writing team. Led by Dr. Kirstie Whitaker, Programme Director of the Tools, Practices, and Systems research program, The Turing Way was launched in 2019. The Turing Way Practitioners Hub, established in 2023, aims to accelerate the adoption of best practices. Through a six-month cohort-based program, the Hub facilitates knowledge sharing, skill exchange, case study co-creation, and the adoption of open science practices. It also fosters a network of 'Experts in Residence' across partnering organisations. For any comments, questions or collaboration with The Turing Way , please email: turingway@turing.ac.uk . Other/Unknown Material Antarc* Antarctic British Antarctic Survey Zenodo Antarctic Alvarez ENVELOPE(-64.483,-64.483,-65.633,-65.633) Stephenson ENVELOPE(-69.133,-69.133,-72.133,-72.133) Malvika ENVELOPE(8.998,8.998,63.458,63.458)
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op_collection_id ftzenodo
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description This case study is published under The Turing Way Practitioners Hub Cohort 1 - case study series. The Practitioners Hub is a The Turing Way project that works with experts from partnering organisations to promote data science best practices. In 2023, The Turing Way team partnered with five organisations in the UK including British Antarctic Survey . This work is supported by Innovate UK BridgeAI . The Practitioners Hub has also received funding and support from the Ecosystem Leadership Award under the EPSRC Grant EP/X03870X/1 and The Alan Turing Institute . We thank Lucy Stephenson, Scientific Data Coordinator in the UK Polar Data Centre at British Antarctic Survey and an Expert in Residence for the first cohort of The Turing Way Practitioners Hub, for facilitating the development of this case study. The inaugural cohort of The Turing Way Practitioners Hub has been designed and led by Dr Malvika Sharan. The Research Project Manager is Alexandra Araujo Alvarez. Stuart Gillespie is the technical writer for this case study, and others in the series. Cami Rincón, previous Research Applications Officer at the Turing Institute, contributed to the development of the Case Study Framework in this project. Stuart and Cami also served as The Turing Way liaisons to the BAS contributors and the writing team. Led by Dr. Kirstie Whitaker, Programme Director of the Tools, Practices, and Systems research program, The Turing Way was launched in 2019. The Turing Way Practitioners Hub, established in 2023, aims to accelerate the adoption of best practices. Through a six-month cohort-based program, the Hub facilitates knowledge sharing, skill exchange, case study co-creation, and the adoption of open science practices. It also fosters a network of 'Experts in Residence' across partnering organisations. For any comments, questions or collaboration with The Turing Way , please email: turingway@turing.ac.uk .
author2 Gillespie, Stuart
Byrne, James
Clark, Melody
Gascoyne, Matthew
Stephenson, Lucy
Araujo Alvarez, Alexandra
Whitaker, Kirstie
Sharan, Malvika
format Other/Unknown Material
author The Alan Turing Institute
British Antarctic Survey
spellingShingle The Alan Turing Institute
British Antarctic Survey
Exploring the intersection of data science and open practices at British Antarctic Survey
author_facet The Alan Turing Institute
British Antarctic Survey
author_sort The Alan Turing Institute
title Exploring the intersection of data science and open practices at British Antarctic Survey
title_short Exploring the intersection of data science and open practices at British Antarctic Survey
title_full Exploring the intersection of data science and open practices at British Antarctic Survey
title_fullStr Exploring the intersection of data science and open practices at British Antarctic Survey
title_full_unstemmed Exploring the intersection of data science and open practices at British Antarctic Survey
title_sort exploring the intersection of data science and open practices at british antarctic survey
publisher Zenodo
publishDate 2023
url https://doi.org/10.5281/zenodo.10337801
long_lat ENVELOPE(-64.483,-64.483,-65.633,-65.633)
ENVELOPE(-69.133,-69.133,-72.133,-72.133)
ENVELOPE(8.998,8.998,63.458,63.458)
geographic Antarctic
Alvarez
Stephenson
Malvika
geographic_facet Antarctic
Alvarez
Stephenson
Malvika
genre Antarc*
Antarctic
British Antarctic Survey
genre_facet Antarc*
Antarctic
British Antarctic Survey
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