{"title":"Analysis of the Types of Argentine Geospatial Public Open Data","authors":"Roxana Martínez, Agustín Simón","doi":"10.3390/engproc2023042007","DOIUrl":null,"url":null,"abstract":": Massive data, public and in open formats, are essential to improving citizens’ confidence in their countries. Open data generate value, as long as they can be standardized in terms of data quality, accessibility, and publication through user-friendly formats. This work consists of an analysis and study of the different types of open geospatial data that are available in the government website portals of the Argentine Republic. This analysis allowed us to garner the status of different geospatial datasets, understand the quality of their content, and detect the shortcomings of these types of datasets.","PeriodicalId":349229,"journal":{"name":"II International Congress on the Technology and Innovation in Engineering and Computing","volume":"493 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"II International Congress on the Technology and Innovation in Engineering and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/engproc2023042007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
: Massive data, public and in open formats, are essential to improving citizens’ confidence in their countries. Open data generate value, as long as they can be standardized in terms of data quality, accessibility, and publication through user-friendly formats. This work consists of an analysis and study of the different types of open geospatial data that are available in the government website portals of the Argentine Republic. This analysis allowed us to garner the status of different geospatial datasets, understand the quality of their content, and detect the shortcomings of these types of datasets.