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Presentation by Esther Plomp on the Turing Way during the FORCE2021 Conference on the 8th of December 2021. The Turing Way is a community-driven book project that involves and supports a diverse research community in ensuring that reproducible and ethical data research is "too easy not to do". The book is openly available under a CC-BY 4.0 license, and presents a sustainable alternative to the more traditional way of sharing best practices via articles. The Turing Way aims to bridge the gap between innovative data research techniques and best practices that make them accessible and comprehensible for everyone. The Turing Way is designed to be inclusive and accessible to its members from diverse backgrounds and expertise. We welcome ideas, case studies, impact stories, educational resources, or any sort of participation that individuals can benefit from or use to advance their knowledge in data research. All contributions, questions, comments, and discussions are made via an online repository: https://github.com/alan-turing-institute/the-turing-way. This ensures that all the contributions are openly accessible. To ensure long term preservation, a snapshot of the repository is also hosted on a data repository (https://doi.org/10.5281/zenodo.3233853). In this lightning talk, a community member will introduce the Turing Way Project and highlight the importance of creating a culture that promotes collaboration and accessibility to ensure the long-term sustainability of our communities.
FORCE 2021, Community, data science, The Turing Way, reproducibility
FORCE 2021, Community, data science, The Turing Way, reproducibility
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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). | 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 |