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This presentation was used in the CDT sessions for University of Cambridge in January and February 2023. This presentation builds on material used in the sessions from 2022, which can be found here: You can find the presentation on Zenodo (https://zenodo.org/record/6337939), shared under CC-BY 4.0 License for reuse and share. Please cite them as: Sharan, Malvika, & Karoune, Emma. (2022, March 8). The Turing Way Workshop: Reproducible, Open and FAIR Research. Zenodo. https://doi.org/10.5281/zenodo.6337939 Several slides in this presentation use The Turing Way and Open Life Science contents shared under CC-BY 4.0 License. Overview In this part-1 of the workshop we covered the following topics: Reproducible Research Open Science FAIR principles Setting project repository README files (basic information about the project) on GitHub Part 2 of the workshop covers the following topics: Licenses to allow reuse of your research outputs in a way YOU want Making your work citable: Digital Object Identifiers, Zenodo Setting online repository for collaboration CoC, Contributing guidelines, continuous integration Reproducible environment and sharing to aid reproducibility: Binder Revisiting how these contribute to implementing FAIR practices What more you can do.
FAIR data, Open Science, Training, Reproducible research
FAIR data, Open Science, Training, Reproducible research
| 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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