Exploring the components of open data ecosystems: A systematic mapping study

Mariutsi Alexandra Osorio-Sanabria, Ferney Amaya-Fernández, Mayda González-Zabala

    Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

    2 Citas (Scopus)

    Resumen

    Open government data (OGD) is a tool that enables better the transparency of public administration, empower citizens, generate knowledge, innovation, and boosting the economy. However, there are social and technical barriers that affect these benefits. On the other hand, although proposals analyzing the development of OGD have been defined, no attention has been paid to the components that are part of an open data ecosystem. This article provides an overview of the components that enable open data ecosystems to facilitate the opening and use of OGD. A systematic mapping of open data ecosystem research was conducted in this paper. The study found 223 papers, of which six papers were selected that passed the inclusion and exclusion criteria. On the other hand, it was found that an open data ecosystem should consider at least five components: 1) Political/legal framework; 2) Actors 3) Technological infrastructure; 4) Data, and 5) Standards or tools to facilitate data interoperability.

    Idioma originalInglés
    Título de la publicación alojadaACM International Conference Proceeding Series
    EditorialAssociation for Computing Machinery
    ISBN (versión impresa)9781450377119
    DOI
    EstadoPublicada - 2020
    Evento10th Euro-American Conference on Telematics and Information Systems, EATIS 2020 - Virtual, Online, Portugal
    Duración: 25 nov. 202027 nov. 2020

    Serie de la publicación

    NombreACM International Conference Proceeding Series
    VolumenPart F166737

    Conferencia

    Conferencia10th Euro-American Conference on Telematics and Information Systems, EATIS 2020
    País/TerritorioPortugal
    CiudadVirtual, Online
    Período25/11/2027/11/20

    Nota bibliográfica

    Publisher Copyright:
    © 2020 ACM.

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