Improving Data Quality: Actors, Incentives and Capabilities

Abstract:

This paper examines the construction and use of datasets in political science. We focus on three interrelated questions: How might we assess data quality? What factors shape data quality? And how can these factors be addressed to improve data quality? We first outline some problems with existing dataset quality, including issues of validity, coverage and accuracy; and we discuss some ways of identifying problems as well as some consequences of data quality problems. The core of the paper addresses the second question by analyzing the incentives and capabilities facing four key actors in a data supply–chain: respondents; states (including bureaucracies and politicians); international organizations; and finally, academic scholars. We conclude by making some suggestions for improving the use and construction of datasets. We present evidence from a variety of contexts but especially from Africa, China, India and Russia.

Last updated on 03/21/2015