Abstract
To increase transparency, encourage citizen participation in decision making, and to respond efficiently, governments make a very important set of information available to their community. This information became even more relevant during COVID-19. However, if these data do not have a high level of quality, information loses reliability. An evaluation to measure data quality of two public files was conducted: “COVID-19. Cases registered in the Argentine Republic.” and “COVID-19 vaccines. Doses administered in the Argentine Republic.” using the model provided by the ISO/IEC 25012 standard and the evaluation process defined by ISO/IEC 25040.
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Acknowledgements
This publication was made in the context of the CAP4CITY Project – “Strengthening Governance Capacity for Smart Sustainable Cities” (www.cap4city.eu) co-funded by the Erasmus+ Programme of the European Union. Grant no: 598273-EPP-1- 2018-1-AT-EPPKA2-CBHE-JP. Project number: 598273
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Pasini, A., Torres, J.I., Esponda, S., Pesado, P. (2022). Data Quality Applied to Open Databases: “COVID-19 Cases” and “COVID-19 Vaccines”. In: Pesado, P., Gil, G. (eds) Computer Science – CACIC 2021. CACIC 2021. Communications in Computer and Information Science, vol 1584. Springer, Cham. https://doi.org/10.1007/978-3-031-05903-2_20
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DOI: https://doi.org/10.1007/978-3-031-05903-2_20
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