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Before the Mining Begins: An Enquiry into the Data for Performance Measurement in the Public Sector

Before the Mining Begins: An Enquiry into the Data for Performance Measurement in the Public Sector

Dries Verlet, Carl Devos
Copyright: © 2010 |Pages: 20
ISBN13: 9781605669069|ISBN10: 1605669067|EISBN13: 9781605669076
DOI: 10.4018/978-1-60566-906-9.ch001
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MLA

Verlet, Dries, and Carl Devos. "Before the Mining Begins: An Enquiry into the Data for Performance Measurement in the Public Sector." Data Mining in Public and Private Sectors: Organizational and Government Applications, edited by Antti Syvajarvi and Jari Stenvall, IGI Global, 2010, pp. 1-20. https://doi.org/10.4018/978-1-60566-906-9.ch001

APA

Verlet, D. & Devos, C. (2010). Before the Mining Begins: An Enquiry into the Data for Performance Measurement in the Public Sector. In A. Syvajarvi & J. Stenvall (Eds.), Data Mining in Public and Private Sectors: Organizational and Government Applications (pp. 1-20). IGI Global. https://doi.org/10.4018/978-1-60566-906-9.ch001

Chicago

Verlet, Dries, and Carl Devos. "Before the Mining Begins: An Enquiry into the Data for Performance Measurement in the Public Sector." In Data Mining in Public and Private Sectors: Organizational and Government Applications, edited by Antti Syvajarvi and Jari Stenvall, 1-20. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-906-9.ch001

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Abstract

Although policy evaluation has always been important, today there is a rising attention for policy evaluation in the public sector. In order to provide a solid base for the so-called evidence-based policy, valid en reliable data are needed to depict the performance of organisations within the public sector. Without a solid empirical base, one needs to be very careful with data mining in the public sector. When measuring performance, several unintended and negative effects can occur. In this chapter, the authors focus on a few common pitfalls that occur when measuring performance in the public sector. They also discuss possible strategies to prevent them by setting up and adjusting the right measurement systems for performance in the public sector. Data mining is about knowledge discovery. The question is: what do we want to know? What are the consequences of asking that question?

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