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Presentation . 2023
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Co-creating The Turing Way with global community | Co-creando The Turing Way con la comunidad global

Authors: Sharan, Malvika; Black, Melissa; Plomp, Esther;

Co-creating The Turing Way with global community | Co-creando The Turing Way con la comunidad global

Abstract

In English Co-creating The Turing Way with global community The Turing Way - a community-led book for data science and research - originally emerged in response to the reproducibility crisis in science. Since 2019, the project has facilitated collaborations among an open, inclusive and collaborative community of researchers and organisations globally, enabling exchange of best practices in the guides for reproducibility, project design, collaboration, communication and ethics. The process of co-creation and the culture of collaboration is key to achieving The Turing Way’s mission to make data science accessible, comprehensible and beneficial for everyone. Collaboration at a global scale with stakeholders with different needs inherently puts maintenance and questions of access at the forefront, rejecting the notion of 'moving fast and breaking things'. The Turing Way has therefore continued to evolve its approaches to collaboration, community engagement, sustainability, governance, and goals, all while ensuring that we embed EDIA (equity, diversity, inclusion and accessibility) at the core of all our efforts. This talk discusses The Turing Way - or more precisely "Way(s)" - that has emerged to impact the landscape and culture of data science, addressing questions around situated knowledge and globalisation, accessible open infrastructure, digital skills, data management frameworks, reproducible workflows, research infrastructure roles, team science and more. All information and discussions are managed via GitHub: https://github.com/alan-turing-institute/the-turing-way/. En Español Co-creando The Turing Way con la comunidad global The Turing Way, un libro dirigido por la comunidad para la ciencia y la investigación de datos, surgió originalmente en respuesta a la crisis de reproducibilidad en la ciencia. Desde el 2019, el proyecto ha facilitado colaboraciones entre una comunidad abierta, inclusiva y colaborativa de investigadores y organizaciones a nivel mundial, lo que permite el intercambio de mejores prácticas en las guías de reproducibilidad, diseño de proyectos, colaboración, comunicación y ética. El proceso de co-creación y la cultura de colaboración es clave para lograr la misión de The Turing Way: hacer que la ciencia de datos sea accesible, comprensible y beneficiosa para todos. La colaboración a escala global con las partes interesadas, con diferentes necesidades inherentemente, pone el mantenimiento y las cuestiones de acceso en primer plano, rechazando la noción de 'moverse rápido y romper cosas'. Por lo tanto, The Turing Way ha seguido evolucionando sus enfoques de colaboración, participación comunitaria, sostenibilidad, gobernanza y objetivos, al tiempo que garantiza que integramos EDIA (equidad, diversidad, inclusión y accesibilidad) en el centro de todos nuestros esfuerzos. Esta charla analiza The Turing Way, o más precisamente "Way(s)" (caminos), que han surgido para impactar el panorama y la cultura de la ciencia de datos, abordando preguntas sobre conocimiento situado y globalización, infraestructura abierta accesible, habilidades digitales, marcos de gestión de datos, flujos de trabajo reproducibles, roles de infraestructura de investigación, ciencia de equipo y más. Toda la información y los debates se gestionan a través de GitHub: https://github.com/alan-turing-institute/the-turing-way/.

Multilingualism and Linguistic diversity. (2023, April 20). https://www.unesco.org/en/multilingualism-linguistic-diversity, UNESCO Open Science: https://www.unesco.org/en/open-science and https://www.unesco.org/en/open-science/toolkit @turingway, CC-BY 4.0, Zenodo: https://zenodo.org/record/7849391, CC-BY 4.0 Illustrations by Scriberia and The Turing Way Community

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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