SciELO - Scientific Electronic Library Online

 
 issue108ZnO/TiO2 and ZnO/Nb2O5 as effective systems for the treatment of enteric bacteria and commercial dyesA modified voltage changes ratio (MVCR) for in-vitro volume estimation author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Revista Facultad de Ingeniería Universidad de Antioquia

Print version ISSN 0120-6230On-line version ISSN 2422-2844

Abstract

MARTINEZ, Roxana; PONS, Claudia; RODRIGUEZ, Rocío  and  VERA, Pablo. Quality study of open government data related to COVID-19 in Latin America. Rev.fac.ing.univ. Antioquia [online]. 2023, n.108, pp.18-32.  Epub Sep 19, 2023. ISSN 0120-6230.  https://doi.org/10.17533/udea.redin.20220579.

This work shows the current situation of Open Government at a Latin American level focused on the quality of available open data related to COVID-19. The analyzed data refers to health emergencies and tasks for the fight against the pandemic. These data are critical because they are used to improve the management of public services and resources in handling this contingency. The different quality aspects of open data that are available on government portals have been analyzed. For this analysis, a number of documents of recognized international organizations on aspects, current problems, and good practices were taken as a reference. To accomplish this research, six countries were chosen as a data source: Argentina, Colombia, Mexico, Peru, Paraguay and Uruguay. For each of them, their public portals were analyzed, and special attention was paid to the quality aspects that each country proposes, as well as whether there are dataset control tools or not. Finally, the tool HEVDA was used to verify the quality of open data based on a proposal of 8 quality metrics. The tool was applied to a sample of 15 datasets from each country in aspects of COVID-19 (90 datasets). The contribution of this work is to identify the degree of quality presented by the open data of these countries through a self-developed validation tool (HEVDA).

Keywords : Open data; quality metrics; open government; datasets.

        · abstract in Spanish     · text in English     · English ( pdf )