Assessing the Quality of Covid-19 Open Data Portals

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Abstract

Open data portals can be used for several purposes, including transparency leverage, access to information, and decision-making support. Recently, the pandemic broke out in the new coronavirus, causing the whole world to suffer its effects. As a result, several countries, institutions, and research teams have worked to understand the behavior of this new virus. Since then, several open data portals have emerged that have set out to disseminate regional, national, and even international information about Covid-19 information. Therefore, it is known that open data resources, together with data-based methodologies, provide many opportunities to improve the response of different administrations, especially to the virus. We identified the variables and methodologies necessary to analyze the fundamental aspects of the quality of Covid-19’s open data portals and described the current aspects such as qualities, limitations, and difficulties found in these open data portals.

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Sampaio, I. G. B., Andrade, E. de O., Bernardini, F., & Viterbo, J. (2022). Assessing the Quality of Covid-19 Open Data Portals. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13391 LNCS, pp. 212–227). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-15086-9_14

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