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Data Use and Capacities Across the Global South: Implications for Open Data Policies and Practice

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New Sustainable Horizons in Artificial Intelligence and Digital Solutions (I3E 2023)

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Abstract

This paper examines 17 case studies from the Open Data Research Network with the objective of identifying capacity of using open (government) data. The method used was a literature review of relevant concepts leading to the construction of a typology checklist to determine the capacity level of data use of each case. The findings are summarised in a stairs of open data capacity with nine of the case studies found to be in the intermediate category and the others in the advanced cluster. The findings have implications for identifying local capacity, capacity building needs, and areas for intervention.

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Author information

Authors and Affiliations

  1. Positivo University, Curitiba, Brazil

    Luiz Pinheiro

  2. University of Sao Paulo, Sao Paulo, Brazil

    José Carlos Vaz, Renan Vieira & Leticia Hora

Authors
  1. Luiz Pinheiro
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  2. José Carlos Vaz
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  3. Renan Vieira
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  4. Leticia Hora
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Corresponding author

Correspondence to Luiz Pinheiro .

Editor information

Editors and Affiliations

  1. Delft University of Technology, Delft, The Netherlands

    Marijn Janssen

  2. Positivo University, Curitiba, Paraná, Brazil

    Luiz Pinheiro

  3. Delft University of Technology, Delft, The Netherlands

    Ricardo Matheus

  4. Positivo University, Curitiba, Paraná, Brazil

    Fernanda Frankenberger

  5. Swansea University, Swansea, UK

    Yogesh K. Dwivedi

  6. University of Agder, Kristiansand, Norway

    Ilias O. Pappas

  7. University of Turku, Turku, Finland

    Matti Mäntymäki

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1 Case study reports are available through each of the case studies on http://www.opendataresearch.org/emergingimpacts.

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Pinheiro, L., Vaz, J.C., Vieira, R., Hora, L. (2023). Data Use and Capacities Across the Global South: Implications for Open Data Policies and Practice. In: Janssen, M., et al. New Sustainable Horizons in Artificial Intelligence and Digital Solutions. I3E 2023. Lecture Notes in Computer Science, vol 14316. Springer, Cham. https://doi.org/10.1007/978-3-031-50040-4_24

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  • DOI: https://doi.org/10.1007/978-3-031-50040-4_24

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