Data for development: The case for Africa. Issue 1 (18th October 2019)

• Record Type: Journal Article
• Authors: Assefa, Shimelis; Alemneh, Daniel Gelaw; Rorissa, Abebe
• Is Part Of: Proceedings of the Association for Information Science and Technology. Volume 56:Issue 1(2019)
• Page Start: 607
• Page End: 608
• Publication Date: 2019-10-18
• Subjects: Big data -- Sustainable Development Goals -- SDG #2 -- Africa -- Data Collection -- Agriculture; Information science -- Congresses; Information technology -- Congresses; Information science; Information technology; Conference papers and proceedings; 020
• DOI: 10.1002/pra2.105
• Languages: English
• ISSNs: 2373-9231

Abstract

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.