LAUSR

ABSTRACT Do legislators and executives speak of data the same way when speaking about public sector data? Public management scholarship and public performance policies often emphasize data-driven decision making as the path to making government efficient and effective. Whether the public policy makers mean the same thing when they speak about data in discussions of data-driven performance and decision making is unknown. In this article, the authors present an analysis of the language of data in conversations about government performance. Two frameworks are identified for the role of data in public performance—the statesman’s and the scientist’s. A corpus-level analysis of over 30 years of government documents is used to demonstrate the differences between these two approaches. This research builds consciously on the work of previous scholars seeking to map the nuances of data-driven performance management policies in the U.S. federal government.