Data for development: The case for Africa

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Conference paper presenting the results of a systematic review of data use practices by African countries to support the United Nations Sustainable Development Goals (UN SDGs) #2 – agriculture.

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2 p.

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Assefa, Shimelis; Alemneh, Daniel Gelaw & Rorissa, Abebe October 18, 2019.

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Description

Conference paper presenting the results of a systematic review of data use practices by African countries to support the United Nations Sustainable Development Goals (UN SDGs) #2 – agriculture.

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2 p.

Notes

Abstract: This study presents the results of a systematic review of data use practices by African countries to support the United Nations Sustainable Development Goals (UN SDGs) #2 – agriculture. Data use practices and existing data infrastructure are reviewed through the lens of the four big data value-chain - data generation, data acquisition, data storage, and data analysis. The findings show that – 1) national statistical offices are the primary institutions responsible for data collection and analysis at country level; 2) survey is the primary means for data generation and acquisition; c) the capability to transform data into actionable insight and knowledge is severely limited; 4) data is heavily used for reporting purposes.

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  • American Society for Information Science and Technology (ASIS&T) 82nd Annual Meeting, October 19-23, 2019. Melbourne, Australia
  • Proceedings of the Association for Information Science and Technology, 56(1), John Wiley & Sons, October 18, 2019

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  • Publication Title: Proceedings of the Association for Information Science and Technology
  • Volume: 56
  • Issue: 1

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UNT Scholarly Works

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  • October 18, 2019

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  • Aug. 2, 2023, 10:54 p.m.

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Assefa, Shimelis; Alemneh, Daniel Gelaw & Rorissa, Abebe. Data for development: The case for Africa, paper, October 18, 2019; (https://digital.library.unt.edu/ark:/67531/metadc2143869/: accessed January 24, 2025), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .

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