Data Governance: A conceptual Framework, Structured Review, and Research Agenda
Data governance refers to the exercise of authority and control over the management of data. The purpose of data governance is to increase the value of data and minimize data-related cost and risk. Despite data governance gaining in importance in recent years, a holistic view on data governance, which could guide both practitioners and researchers, is missing. In this review paper, we aim to close this gap and develop a conceptual framework for data governance, synthesize the literature, and provide a research agenda.
Data Governance – Providing Assurance regarding Data Risk Management
While the concept of risk related to data ethics is relatively new, Chief Audit Executives (CAEs) predict that its relevance will grow rapidly over the next five years. Complexity in the collection, analysis, and use of data is expanding rapidly, complicated by artificial intelligence.
Going Digital: Guide to Data Governance Policy Making
The Going Digital Guide to Data Governance Policy Making (hereafter the
Guide) aims to advance the development, revision and implementation of policies for data governance, by helping to overcome key related policy tensions. Addressing the complexities arising from the nature of data as an intangible infrastructural resource of global strategic importance, the Guide helps policy makers design effective, technology-neutral, forward-looking and coherent data governance policies across sectors, policy domains and jurisdictions. It proposes a set of questions and highlights promising policy approaches based on three policy tensions and objectives that characterise
data governance policy making: 1) Balancing data openness and control while maximising trust; 2) Managing overlapping and potentially conflicting interests and regulations related to data governance; and 3) Incentivising investments in data and their effective re-use.
Data Governance Essentials Handbook
Definitions of Data Governance are numerous. However, they agree on a key principle - that it’s dedicated to the organisation of people, processes, and technology to enable effective data management.
Ensuring Compliance with the Protection of Personal Information Act (PoPIA) in South African Public Entities
South African public entities must comply with PoPIA by ensuring lawful data processing, security safeguards, and transparency. Key steps include appointing an Information Officer, conducting audits, implementing policies, training staff, and monitoring compliance. Regular reviews help maintain compliance, protect personal data, and mitigate legal risks while fostering trust.
Unlocking the Power of Data Governance: A Strategic Approach to Data Management
Data governance ensures data integrity, security, and usability by establishing policies and standards. Emerging models like data cooperatives and public trusts offer new approaches. Best practices include strategic alignment, accountability, and transparency. Effective governance mitigates risks, enhances decision-making, and drives business success in a data-driven world.