Data Quality Applied to Open Databases: "COVID-19 Cases" and "COVID-19 Vaccines"

被引：0

作者：

Pasini, Ariel ^{[1
,2
,3
]}

Torres, Juan Ignacio ^{[1
,2
,3
]}

Esponda, Silvia ^{[1
,2
,3
]}

Pesado, Patricia ^{[1
,2
,3
]}

机构：

[1] Comp Sci Res Inst LIDI III LIDI, La Plata, Argentina

[2] Univ Nacl La Plata, Fac Informat, La Plata, Buenos Aires, Argentina

[3] Ctr Asociado Comis Invest Cient La Pcia Bs CIC, Tolosa, Argentina

来源：

COMPUTER SCIENCE, CACIC 2021 | 2022年 / 1584卷

关键词：

Data quality; ISO/IEC; 25000; Open government; Open data;

D O I：

10.1007/978-3-031-05903-2_20

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：297 / 311

页数：15

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