What is it about?

Opening data through Open Government Data (OGD) initiatives does not always improve data quality. There are instances in which data quality can be affected adversely, that also affects the public value outcome of the corresponding OGD initiative. This paper shows such a situation and identify the basic characteristics and elements that can lead to a similar situation in other OGD initiatives.

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Why is it important?

The findings are in contrast with the mainstream open data literature and helps open data ‎scholars to anticipate some currently unexpected results of open data initiatives. Limitations ‎include potential biases associated to interpretation of interview data and that the results ‎are based on a single case study.‎

Perspectives

Prior research suggests that open data initiatives enhance data quality. However, this study ‎shows how opening data can adversely affect the quality of data. Results are explained by ‎competing dynamics and conflicting interests among open data actors, undermining the ‎expected public value from open data initiatives.‎

Mahdi Najafabadi
California State University Northridge

Read the Original

This page is a summary of: Systemic effects of an open government program on data quality: the case of the New York State’s Food Protection program area, Transforming Government People Process and Policy, June 2022, Emerald, DOI: 10.1108/tg-11-2021-0194.
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