Data (Information)

Frequency of topics in research data management training and their association with research lifecycle stages

Nurnberger, Amy L.

This is the result of a survey of online curricula or training programs for research data management or curation, conducted by Amy Nurnberger in July 2013. The programs were examined for specific modules, topics, and learning objectives, each of which were documented. The topics and learning objectives were then coded using a controlled vocabulary intended to summarize their overall intent. Following coding, brief analysis was done to examine frequency of topics, where topics were located within specific learning modules, and which learning modules were most frequently associated with which topics. Finally, a synthesis of this information was developed to present a generalized consensus of which topics were most often associated with which stages of the research data management/curation pathway.

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Academic Units
Center for Digital Research and Scholarship
Libraries
Published Here
July 28, 2016

Notes

# License This content is licensed under a CC-By 4.0 http://creativecommons.org/licenses/by/4.0/ # Primary File RDMTrainingTopics_v01.zip # Primary File Contents - RDMTrainingTopcs_v01.xslx - TopicFrequency.csv: Counts of coded topic frequency - LearningTopics.csv: A generalized consensus of which topics were most often associated with which stages of the research data management/curation pathway - rawData.csv: The original information from the training programs. This captures the program name, the URL, the institution, and the programs' statedModules ( Sections/Units/Topics), Topics/Objectives, and Objectives - CodedTopicsObjectives.csv: Topics and objectives coded to identify their primary themes to establish a consistent vocabulary. - Pivot-ModuleTopicCode.csv: A pivot table of which coded topics fell under which modules - Pivot-TopicCodeModule.csv: A pivot table of which coded modules included which topics - readMe # Archival information readMe.txt