Analysis of the data sets published in the Colombian open data portal: Case of the Metropolitan Area of the Aburra Valley

    Research output: Chapter in Book/Report/Conference proceedingConference and proceedingspeer-review

    Abstract

    This document presents the results of an investigation carried out in order to know the characteristics of the data published by the municipalities that make up the Aburra Valley in Antioquia and its relationship with the strategic issues defined by the national government in terms of open data. To obtain the results, a methodology defined consisting of three phases: Identification of information of the entities, characterization of the publications and analysis of the results. Among the main results are that most of the published data are visualized in datasets and graphs, and focus on education and mobility issues. These results will serve to improve the open data programs of the municipalities studied, as well as for future research related to analysis in other territories of the country or as a starting point to define measurements of results and impacts of the use of open data.

    Original languageEnglish
    Title of host publicationProceedings of the Euro American Conference on Telematics and Information Systems, EATIS 2018
    PublisherAssociation for Computing Machinery
    ISBN (Electronic)9781450365727
    DOIs
    StatePublished - 12 Nov 2018
    Event2018 Euro American Conference on Telematics and Information Systems, EATIS 2018 - Fortaleza, Brazil
    Duration: 12 Nov 201815 Nov 2018

    Publication series

    NameACM International Conference Proceeding Series

    Conference

    Conference2018 Euro American Conference on Telematics and Information Systems, EATIS 2018
    Country/TerritoryBrazil
    CityFortaleza
    Period12/11/1815/11/18

    Bibliographical note

    Publisher Copyright:
    © 2018 Association for Computing Machinery.

    Keywords

    • Digital government
    • E-government
    • Open data
    • Open government
    • Open government data

    Types Minciencias

    • Eventos científicos con componente de apropiación

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