Research Article

Analysing data quality frameworks and evaluating the statistical output of United Nations Sustainable Development Goals’ reports

University of Bolton, Bolton, England, UK

^* e-mail: wl1res@bolton.ac.uk

Received: 12 December 2021
Received in final form: 3 February 2022
Accepted: 4 February 2022

Abstract

This paper evaluates the quality of the United Nations Sustainable Development Goals’ report for 2020, and devises a new data quality assessment framework based on analysing many data quality frameworks. Data in this paper is collected from the official UN SDG official website, and the national statistics offices of the UN countries. A weighted-score sum module is also being utilized to find the best data quality dimension. These dimensions are then used to create a new data quality framework. It is found that the UN SDGs used a data quality framework that is based on statistical output factors and ignores other quality factors and therefore the score for assessing this report is 56%. The perceived identified gaps include: countries are using different quality and assessment frameworks which cause inconsistency in data quality; data is outdated and incomplete; data is not available for many indicators and countries; cost and efficiency are not part of the UN SDG data quality framework; therefore weak data management is found. Areas for improvement include creating one comprehensive data quality framework for all countries will ensure the highest data quality.