Teaching Scientific Data Management in Data Science Education and Workforce Development Programs for Science Communities

Speaker  Robert R. Downs

Host  Gail Steinhart, Cornell University

Affiliation  Columbia University

Duration  00:24:35

Date recorded  9 October 2012

Recent popularity of data science has led to increased recognition of the need for education and workforce development in data science. However, definitions of the term, data science, vary and often focus on techniques for data analytics and visualization, omitting scientific data management and related topics associated with data policy, stewardship, and preservation.

Scientific data management encompasses a variety of concepts and methods to foster continuing access and long-term stewardship of data for current and future users. Considering the needs for scientific data management knowledge and capabilities to facilitate improved and persistent accessibility and use of scientific data throughout the data lifecycle, instruction on topics in scientific data management is recommended for data science education and workforce development programs for science communities.

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