Data Governance and Policy in Africa.

Data Governance and Policy in Africa.

Show other versions (1)
Saved in:
Bibliographic Details
Superior document:Information Technology and Global Governance Series
:
Ndemo, Bitange.
TeilnehmendeR:
Ndung'u, Njuguna.
Odhiambo, Scholastica.
Shimeles, Abebe.
Place / Publishing House:Cham : : Springer International Publishing AG,, 2023.
©2023.
Year of Publication:2023
Edition:1st ed.
Language:English
Series:Information Technology and Global Governance Series
Online Access:
Physical Description:1 online resource (229 pages)
Tags: Add Tag
No Tags, Be the first to tag this record!
Table of Contents:
  • Intro
  • Preface
  • Acknowledgements
  • Contents
  • Notes on Contributors
  • List of Figures
  • List of Tables
  • Chapter 1: Introduction
  • 1.1 Introduction
  • 1.2 The Way Forward
  • 1.3 Potential for Future Research
  • Chapter 2: A Prototype Data Governance Framework for Africa
  • 2.1 Introduction
  • 2.2 Background and Literature Review
  • 2.3 An Organizational Framework for Data Governance
  • 2.4 A Prototype Data Governance Framework for Africa
  • 2.4.1 Principles
  • 2.4.2 Infrastructure
  • 2.5 Conclusion and Recommendations
  • References
  • Chapter 3: A Value Chain Approach to Data Production, Use, and Governance for Sound Policymaking in Africa
  • 3.1 Introduction
  • 3.2 Methodology
  • 3.3 Production and Dissemination of Official Statistics in Africa
  • 3.4 Value Chain Theory in Data Production, Use, and Governance
  • 3.5 Value Chain Approach to Production and Dissemination of Official Statistics in Africa
  • 3.5.1 Identification of Data Needs for Different Users
  • 3.5.2 Designing Data Production Processes
  • 3.5.3 Development and Testing of Data Collection Instruments and Other Key Processes
  • 3.5.4 Data Collection, Processing, and Analysis
  • 3.5.5 Dissemination and Use of Official Statistics
  • 3.5.6 Data Governance
  • 3.6 Case Studies
  • 3.6.1 Case Study One: Australian Bureau of Statistics
  • 3.6.2 Case Study Two: National Institute of Statistics of Rwanda
  • 3.6.3 Case Study Three: Statistics South Africa
  • 3.6.4 Discussion on the Case Studies
  • 3.7 Recommendations
  • 3.7.1 Strengthening the Systems Used in Collection and Processing of Administrative Data
  • 3.7.2 Use of Non-traditional Sources of Data in Production of Official Statistics
  • 3.7.3 Identification of Needs for Different Users and Establishing a National Users' Engagement Platform.
  • 3.7.4 Coordinating the National Statistical System and Collaboration Across African Statistical System
  • 3.7.5 Use of International Standards and Methods in Production of Official Statistics
  • 3.7.6 Funding of Activities for Production of Official Statistics in Africa
  • 3.7.7 Addressing Human Capital Skills Gaps Across African NSOs
  • 3.7.8 Investment in Modern Technologies for Use in Production and Dissemination of Official Statistics
  • 3.7.9 Enhancing the Use of Official Statistics
  • 3.7.10 Improving the Trust of Official Statistics in Africa
  • 3.7.11 Improving Data Governance Across NSOs in Africa
  • 3.8 Conclusion
  • References
  • Chapter 4: Data Protection Legal Regime and Data Governance in Africa: An Overview
  • 4.1 Introduction
  • 4.2 Legal Framework on Data Protection in Africa
  • 4.2.1 African Union Convention on Cyber Security and Personal Data Protection 2014 (Malabo Convention)
  • 4.2.2 Supplementary Act on Personal Data Protection Within the ECOWAS (ECOWAS ACT)
  • 4.2.3 Southern African Development Community (SADC) Model Law on Data Protection
  • 4.2.4 East African Community (EAC) Legal Framework for Cyberlaws 2008
  • 4.3 Interplay Between Data Governance and Data Protection in Africa
  • 4.3.1 Accuracy Principle
  • 4.3.2 Storage Limitation
  • 4.3.3 Accountability
  • 4.3.4 Confidentiality and Integrity
  • 4.4 Incentives of Legal Framework for Data Protection/Data Governance in Africa
  • 4.4.1 Privacy Right Guarantees
  • 4.4.2 Healthy Democracy
  • 4.4.3 Economic Gains from Free Flow of Data
  • 4.5 Conclusion
  • References
  • Chapter 5: Data Regulation in Africa: Free Flow of Data, Open Data Regimes and Cybersecurity
  • 5.1 Introduction
  • 5.2 Defining Personal Data
  • 5.3 Current African States' Approaches and Significance for the African Continental Free Trade Area (AfCFTA)
  • 5.4 The European Union's Approach to Data.
  • 5.4.1 Lessons from the EU Approach
  • 5.5 African Regulatory Approaches to the Liberalisation of Data and Its Movement
  • 5.5.1 The Free Movement of Data
  • 5.5.2 Benefits of Cross-Data Flows
  • 5.5.3 Benefits for Individuals
  • 5.5.4 Benefits to the Country
  • 5.5.5 Benefits to Organisations
  • 5.6 Data Localisation Laws in Africa
  • 5.6.1 Cote-d'Ivoire
  • 5.6.2 Ghana
  • 5.6.3 Kenya
  • 5.6.4 Nigeria
  • 5.6.5 Rwanda
  • 5.6.6 Senegal
  • 5.6.7 South Africa
  • Proposed Measures
  • 5.6.8 Egypt
  • 5.6.9 Angola
  • 5.7 Open Data Policies/Standards
  • 5.7.1 Common Uses of Open Standards for Data
  • To Promote Common Understanding
  • To Support Policy and Legislation
  • To Fill Gaps in a Data Infrastructure
  • 5.7.2 Benefits of Open Data Standards
  • Economic Benefits
  • Social Benefits
  • Policy Impacts
  • Technological Benefits
  • Example of Open Data Standards in Use
  • 5.8 Cybersecurity Concerns
  • 5.8.1 Privacy
  • 5.8.2 Cybersecurity
  • 5.9 Conclusion
  • References
  • Regulations, Laws, Policies and Guidelines
  • Cases
  • Secondary Sources
  • Chapter 6: Digitalisation and Financial Data Governance in Africa: Challenges and Opportunities
  • 6.1 Introduction
  • 6.1.1 The Spread of Digitalisation
  • 6.2 The Current State of Affairs
  • 6.2.1 Emerging Concerns
  • 6.2.2 Digitalisation Has a Heterogeneous Impact Across Africa
  • 6.2.3 What Does This Portend for Africa?
  • 6.3 Formulating a Research and Policy Agenda
  • 6.3.1 Opportunities Associated with Financial Data Governance
  • 6.3.2 Challenges and Risks Associated with Big Data in the Financial Sector
  • 6.3.3 Social and Ethical Issues Affecting Digitalisation of Financial Data
  • 6.3.4 Enhancing Institutional Frameworks
  • 6.4 Conclusions and Implications
  • References
  • Chapter 7: More Than Just a Policy: Day-to-Day Effects of Data Governance on the Data Scientist
  • 7.1 Introduction.
  • 7.2 Data Science and Practice
  • 7.2.1 What Is Data Science?
  • 7.2.2 The Data Science Process
  • 7.2.3 Why Do We Need Data Governance?
  • 7.3 Human Factors and the Data Science Cycle
  • 7.3.1 Data Acquisition
  • 7.3.2 Processes and Procedures
  • 7.3.3 Human Factors
  • 7.4 Data Analysis and Modelling
  • 7.4.1 Processes and Procedures
  • 7.4.2 Human Factors
  • 7.5 Presentation and Deployment of Data-Driven Products
  • 7.5.1 Processes and Procedures
  • 7.5.2 Human Factors
  • 7.6 Data Governance and the African Continent
  • 7.7 Case Study: Learning from Our Recent Past, Enter ICT4D
  • 7.8 Conclusion
  • References
  • Chapter 8: The Economics of Blockchain Within Africa
  • 8.1 Introduction
  • 8.2 Blockchain Innovations in Africa
  • 8.3 Economics of Blockchain: A Literature Review
  • 8.4 Fundamentals of Blockchain Economics
  • 8.5 An African Perspective on Blockchain Economics
  • 8.6 Policy Implications
  • 8.7 Conclusion
  • References
  • Chapter 9: Conclusion
  • 9.1 Introduction
  • 9.2 Data Governance Frameworks
  • 9.3 Value Chain Approach to Data Production, Use, and Governance
  • 9.4 Legal and Regulatory Frameworks for Data Protection
  • 9.5 Digitalization and Financial Data Governance
  • 9.6 The Economics of Blockchains in Africa
  • 9.7 Further Research
  • Index.

Similar Items