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Is Brazilian Open Government Data Actually Open Data?: An Analysis of the Current Scenario

Author

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  • Kellyton dos Santos Brito

    (Pernambuco Rural Federal University and Pernambuco Federal University, Recife, Brazil)

  • Marcos Antônio da Silva Costa

    (Brazilian Federal Service of Prosecution, Recife, Brazil)

  • Vinicius Cardoso Garcia

    (Pernambuco Federal University, Recife, Brazil)

  • Silvio Romero de Lemos Meira

    (Pernambuco Federal University, Recife, Brazil)

Abstract

Open Government Data (OGD) hold great promise for transforming the efficiency and effectiveness of public services through the ease of publishing and access to government public information or through the offer of new kinds of services, such as smart cities services and applications. In this work, we analyze the Brazilian OGD current scenario and the main difficulties and challenges of developing applications using that data. First, we performed a structured analysis of Brazilian OGD repositories according to OGD definitions. Then, we analyzed the development of two similar applications that use the OGD of two main Brazilian cities and were submitted to different cities' application contests and were well evaluated in both of them. Based on the analysis, this work concludes that Brazilian OGD initiatives have to resolve some issues before being considered truly open data for use in application development at large.

Suggested Citation

  • Kellyton dos Santos Brito & Marcos Antônio da Silva Costa & Vinicius Cardoso Garcia & Silvio Romero de Lemos Meira, 2015. "Is Brazilian Open Government Data Actually Open Data?: An Analysis of the Current Scenario," International Journal of E-Planning Research (IJEPR), IGI Global, vol. 4(2), pages 57-73, April.
    • Handle: RePEc:igg:jepr00:v:4:y:2015:i:2:p:57-73
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    Cited by:

    1. Marianne Silva & Gabriel Signoretti & Julio Oliveira & Ivanovitch Silva & Daniel G. Costa, 2019. "A Crowdsensing Platform for Monitoring of Vehicular Emissions: A Smart City Perspective," Future Internet, MDPI, vol. 11(1), pages 1-20, January.

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