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This lesson was delivered as a part of WiDS Saudi Arabia. It is a collection of materials from the Molecular Sciences Software Institute (MolSSI), the software carpentries, the turing way, coderefinery and many others to introduce Open Science practices to data scientists with an emphasis on version control. This lesson should provide data scientists with the knowledge and tools necessary to apply their new skill set immediately to collaborate with other scientists in any project. In the beginning, the workshop will introduce open science practices. It will then describe how to develop and collaborate on code with another scientist, keep code synchronised, and solve conflicts that arise from that collaboration, licencing their works and making it citable. The website for the lesson is available online.
wids, Discoverable code, zenodo, git, version control, GitHub, DOI, saudi, open science, saudi arabia, data science, Citable code
wids, Discoverable code, zenodo, git, version control, GitHub, DOI, saudi, open science, saudi arabia, data science, Citable code
| 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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