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EAGER: Data Infrastructure to Enhance Research on the Scientific Workforce
Ginther, Donna K. Zambrana, Carlos Oslund, Patricia
Ginther, Donna K.
Zambrana, Carlos
Oslund, Patricia
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Abstract
The National Center for Science and Engineering Statistics (NCSES) at the National Science Foundation collects high-quality data on the scientific workforce, but these data are not as widely utilized by the larger Science of Science and Innovation Policy (SciSIP) community because of changes in survey instruments over time and the data format restrictions. The NSF only supports SAS for NCSES data whereas the majority of researchers use STATA. This project breaks down the barriers to using SESTAT and SDR data for the SciSIP community that in the long-run, could yield new insights about science policy.
Description
The purpose of this project is to provide users of SESTAT data with Stata DO files that convert the data in SAS transport format to Stata data datasets having all variables (other than refid) in numeric format and with their values labeled according to each year’s label definitions.
Date
2019-11
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Keywords
SESTAT, SAS, Stata, SDR, NSCG