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
收藏
页码：297 / 311
页数：15
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