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This document is shared under a CC-BY 4.0 licence. DOI: 10.5281/zenodo.6841867. Zenodo: https://doi.org/10.5281/zenodo.6841867. Attributed to the The Turing Way community and individual contributors. Further to the adoption of the UNESCO Recommendation on Open Science in November 2021, UNESCO launched a Global Call for Best Practices in Open Science. Website with more information: https://www.unesco.org/en/articles/unesco-launches-global-call-best-practices-open-science The Turing Way (https://the-turing-way.netlify.app/welcome) team (email: theturingway@gmail.com) led a workshop to facilitate discussion and put together a community solicited recommendations on the 2-3 (out of seven) selected priority areas. This session will be facilitated during The Turing Way Collaboration Cafe. Session facilitators: Malvika Sharan, Anne Lee Steele, Esther Plomp, Arielle Bennett. The Turing Way (https://the-turing-way.netlify.app/welcome) is an open source, open collaboration and community driven guide to best practices in data science and research. The Turing Way is hosted and supported by the Tools, Practices and Systems of The Alan Turing Institute. Editor: Malvika Sharan Workshop Contributors/Affiliation/Socials/ORCID Patricia Herterich / DCC, University of Edinburgh / @pherterich Alina Popescu / King’s College London Law School Arielle Bennett / The Alan Turing Institute / @biotechchat Emmy Tsang / Invest in Open Infrastructure / @emmy_ft Esther Plomp / Delft University of Technology, Faculty of Applied Sciences / @PhDtoothFAIRy Anne Lee Steele / Alan Turing Institute / @aleesteele Eirini Zormpa / The Alan Turing Institute / @eirini_zormpa Emma Karoune/ The Alan Turing Institute / t - @ekaroune Vicky Hellon / Alan Turing Institute / @vickyhellon Alejandro Coca-Castro / Alan Turing Institute / @alejo_coca Batool Almarzouq, OSCSA/KAIMRC, Twitter: @batool664
| selected citations These citations are derived from selected sources. 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). | 0 | |
| 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. | 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). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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