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Software practices, skills and training have become an essential part of the toolkit of any researcher who deals with data. In this webinar, we cover how better software skills help you become better at data handling and what support is out there to improve your practice. The webinar is focused on an ECR audience. The topics we cover are: How does software relate to data handling skills How can you improve your software and data handling skills What training is available How do you get more proficient What are some good resources to know about Further information at - https://codata.org/initiatives/strategic-programme/codata-connect/webinar-series-research-skills/webinar-7-better-software-better-data-handling/
spreadsheets, data handling, software, skills, python, training, community, infrastructure, FAIR, Open Research, Reproducibility
spreadsheets, data handling, software, skills, python, training, community, infrastructure, FAIR, Open Research, Reproducibility
| 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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