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Are best practices applicable to your project? Contextualising The Turing Way for the global Community. [Workshop materials in Arabic and English]

Authors: Almarzouq, Batool; Karoune, Emma; Sharan, Malvika;

Are best practices applicable to your project? Contextualising The Turing Way for the global Community. [Workshop materials in Arabic and English]

Abstract

Slides in English with transcript: https://tinyurl.com/2p8ncpmr Slides in Arabic with transcript: https://tinyurl.com/ejrzt7e6 Description: In this session, we will introduce The Turing Way - an open-source community-led guide to reproducible, ethical and inclusive data science. The Turing Way's goal is to provide all the information that researchers, industry professionals and members of the public need to understand reproducibility and ethical standards in data science at all stages of development. We share chapters with best practices, guidance and recommendations that are crowdsourced, collaboratively documented and used internationally by researchers from across the globe. In this Community Lab session, we will discuss how we can contextualise The Turing Way resources to enhance understanding and skills in data science of researchers in their local contexts. Despite a diverse representation of our contributors from both the global North and South, we are aware that many of our resources, examples and case studies present western-centric research views and references. Therefore, we specifically invite feedback from researchers from Asia, Africa and Latin America. Reflecting on best practices in data science from their communities, in order to integrate their local views, examples, case studies and new chapters in The Turing Way. Description in Arabic can be seen in the workshop template material.

This workshop is designed in English and Arabic to engage with participants at RightsCon 2022.

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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).
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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.
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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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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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