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Open Government Data Use in the Brazilian States and Federal District Public Administrations

Author

Listed:
  • Ilka Kawashita

    (College of Business and IT, University of Phoenix, Phoenix, AZ 85040, USA)

  • Ana Alice Baptista

    (Algoritmi Center, University of Minho, 4800-058 Guimarães, Portugal)

  • Delfina Soares

    (Operating Unit on Policy-Driven Electronic Governance (UNU-EGOV), United Nations University, 4810-225 Guimarães, Portugal)

Abstract

This research investigates whether, why, and how open government data (OGD) is used and reused by Brazilian state and district public administrations. A new online questionnaire was developed and collected data from 26 of the 27 federation units between June and July 2021. The resulting dataset was cleaned and anonymized. It contains an insight on 158 parameters for 26 federation units explored. This article describes the questionnaire metadata and the methods applied to collect and treat data. The data file was divided into four sections: respondent profile (identify the respondent and his workplace), OGD use/consumption, what OGD is used for by public administrations, and why OGD is used by public administrations (benefits, barriers, drivers, and barriers to OGD use/reuse). Results provide the state of the play of OGD use/reuse in the federation units administrations. Therefore, they could be used to inform open data policy and decision-making processes. Furthermore, they could be the starting point for discussing how OGD could better support the digital transformation in the public sector.

Suggested Citation

  • Ilka Kawashita & Ana Alice Baptista & Delfina Soares, 2022. "Open Government Data Use in the Brazilian States and Federal District Public Administrations," Data, MDPI, vol. 7(1), pages 1-18, January.
    • Handle: RePEc:gam:jdataj:v:7:y:2022:i:1:p:5-:d:718543
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    References listed on IDEAS

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    1. Yannis Charalabidis & Anneke Zuiderwijk & Charalampos Alexopoulos & Marijn Janssen & Thomas Lampoltshammer & Enrico Ferro, 2018. "The World of Open Data," Public Administration and Information Technology, Springer, number 978-3-319-90850-2, March.
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