<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Introduction Data Carpentry is a fiscally sponsored project of NumFOCUS, a 501(c)3 non-profit that supports world-class, innovative, open source scientific computing projects. The mission of Data Carpentry is to provide researchers high-quality, domain-specific training covering the full lifecycle of data-driven research. This mission is achieved through the development and implementation of workshops taught on the fundamental data skills needed to conduct research. Data Carpentry is a sibling organization of Software Carpentry, though its focus is on the introductory computational skills needed for data management and analysis in all domains of research. Data Carpentry lessons are domain specific, and range from life and physical sciences to social science. Lessons build upon the existing knowledge of learners to enable them to quickly apply the skills they learn to their own research. Data Carpentry learners are asked to complete pre- and post-workshop surveys. This report is an analysis of the post-workshop survey responses collected for 40 Data Carpentry workshop sites. Purpose The analysis in this report serves the following purposes: To inform the community of the impact Data Carpentry workshops have made on its learners. To provide context for the survey responses as they relate to Data Carpentry learners. To discuss what Data Carpentry is doing well, areas of improvement, and questions we should be asking.
Data Carpentry, data skills, workshop
Data Carpentry, data skills, workshop
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 |