Identifying Duplication in Statistical Indicators: Methodic Approach

Data-based and data-driven decisions are at the core of digital government transformation. However, the more the data is to be used to guide policy development, the higher are the requirements to the data accuracy and readiness. Larger reliance on data to inform policy decisions should not lead to increased reporting requirements and hence excessive administrative burden on businesses. Therefore, identifying and reducing duplication in statistical data should be performed at the early stages of the government digital transformation. Given the constantly increasing number of strategic documents and continuous amendments to the list of statistic indicators measured, there is a need for an instrument allowing for timely identification and elimination of possible duplication in statistical and other indicators.