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The following zip file is a submission to the Rrsearch Data Alliance of a set of documents describing the curriculum of the CODATA-RDA Research Data Science schools. The following documents are .) a summary recommendation document .) a set of curriculum specifications for the modules run in this curriculum, .) an example timetable for a 10 day intensive training event, .) a diagram to show how these modules are connected, .) a spreadsheet of links to example materials that implements this, .) a metadata file, .) an impact statement, .) a document discussing the maintenance plan of the materials.
Updated to match criteria for RDA submission.
Open and Responsible Research, LMIC, Computational Infrastructures, Information Security, Data Science, Research Data Management, Software Carpentry, Data Visualisation, Analysis, Artificial Neural Networks, ECR
Open and Responsible Research, LMIC, Computational Infrastructures, Information Security, Data Science, Research Data Management, Software Carpentry, Data Visualisation, Analysis, Artificial Neural Networks, ECR
| 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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