STEM Education Topics
Collecting high quality data is a critical component of STEM research and evaluations, and it is central to stand-alone national surveys used to provide up-to-date statistics to enable researchers and policymakers to monitor the size and characteristics of the scientific workforce.
Data collections involve identifying and sampling the appropriate populations, developing instruments, and collecting data through alternative and innovative methods. Data management involves documenting and maintaining information about those in the scientific workforce for the use of researchers and policymakers.
Evidence & Insights
Project
How Machine Learning Streamlines the Occupational Coding Process for a Survey of Doctorate Recipients
The information collected from the Survey of Doctorate Recipients (SDR) provides statistics on the nation’s doctoral scientists and engineers that enable researchers and policymakers to monitor their career movement as well as the size and characteristics of the scientific workforce.
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