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Exploring data science for public good in South Africa: evaluating factors that lead to success

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dc.contributor.author Marivate, Vukosi N
dc.contributor.author Moorosi, Nyalleng
dc.date.accessioned 2019-03-11T06:37:04Z
dc.date.available 2019-03-11T06:37:04Z
dc.date.issued 2018-05
dc.identifier.citation Marivate, V.N., Moorosi, N. 2018. Exploring data science for public good in South Africa: evaluating factors that lead to success. Proceedings of 19th Annual International Conference on Digital Government Research: Governance in the Data Age (dg.o’18), 30 May 2018 - 1 June 2018, Delft, Netherlands, 6pp. en_US
dc.identifier.isbn 978-1-4503-6526-0
dc.identifier.uri http://dgsoc.org/wp-content/uploads/2017/04/DGO2018_Conference-Program.pdf
dc.identifier.uri http://hdl.handle.net/10204/10773
dc.description Copyright: 2018 publication rights licensed to Association for Computing Machinery. en_US
dc.description.abstract In the pursuit of public service, governments have to oversee many complex systems. In recent years, data-driven methodologies have been adopted as tools to oversee and enhance service delivery. In this paper we discuss some of the ways that the government of South Africa, and its agencies, has utilised data tools, how it can improve other services by developing products that address those specific needs as well as how it can begin to develop a more enabling ecosystem for the development of these tools and processes. We discuss the current data landscape from the lens of data policy readiness, human capital development and ethics. The paper is a summary of our observations, our successes, aspirations and challenges as we endeavour to contribute to a more data-driven governance. en_US
dc.language.iso en en_US
dc.publisher Association for Computing Machinery en_US
dc.relation.ispartofseries Workflow;21373
dc.subject e-Government en_US
dc.subject Data science for social good en_US
dc.subject Data readiness en_US
dc.subject Open data en_US
dc.subject Government data en_US
dc.title Exploring data science for public good in South Africa: evaluating factors that lead to success en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Marivate, V. N., & Moorosi, N. (2018). Exploring data science for public good in South Africa: evaluating factors that lead to success. Association for Computing Machinery. http://hdl.handle.net/10204/10773 en_ZA
dc.identifier.chicagocitation Marivate, Vukosi N, and Nyalleng Moorosi. "Exploring data science for public good in South Africa: evaluating factors that lead to success." (2018): http://hdl.handle.net/10204/10773 en_ZA
dc.identifier.vancouvercitation Marivate VN, Moorosi N, Exploring data science for public good in South Africa: evaluating factors that lead to success; Association for Computing Machinery; 2018. http://hdl.handle.net/10204/10773 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Marivate, Vukosi N AU - Moorosi, Nyalleng AB - In the pursuit of public service, governments have to oversee many complex systems. In recent years, data-driven methodologies have been adopted as tools to oversee and enhance service delivery. In this paper we discuss some of the ways that the government of South Africa, and its agencies, has utilised data tools, how it can improve other services by developing products that address those specific needs as well as how it can begin to develop a more enabling ecosystem for the development of these tools and processes. We discuss the current data landscape from the lens of data policy readiness, human capital development and ethics. The paper is a summary of our observations, our successes, aspirations and challenges as we endeavour to contribute to a more data-driven governance. DA - 2018-05 DB - ResearchSpace DP - CSIR KW - e-Government KW - Data science for social good KW - Data readiness KW - Open data KW - Government data LK - https://researchspace.csir.co.za PY - 2018 SM - 978-1-4503-6526-0 T1 - Exploring data science for public good in South Africa: evaluating factors that lead to success TI - Exploring data science for public good in South Africa: evaluating factors that lead to success UR - http://hdl.handle.net/10204/10773 ER - en_ZA


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