MODULE 4
Data Governance, Security & Strategic Data Use
Coming soon
This module addresses principles and practices for responsible data management, governance, and protection in higher education systems. It focuses on developing a strategic and ethical culture of data use by introducing international, regional, and national legal and policy frameworks. Through practical scenarios, participants will learn how to build institutional governance structures that ensure accountability, data quality, and compliance.
Schedule: September 23, 2026 – October 6, 2026
Time Commitment: This module requires an estimated total of 12 study hours distributed across 2 weeks.
Across African higher education, data has evolved from a simple paperwork requirement into a powerful strategic asset that directly influences quality assurance, funding, and sector-wide reforms. This introductory video welcomes you to Module 4 and outlines how the upcoming lectures address common regional challenges, such as fragmented digital infrastructure, cybersecurity risks, and weak governance frameworks. The facilitator introduces the three core dimensions of the module: data governance, data security, and strategic data use. By watching this short overview, you will preview how the upcoming sessions will equip you to safeguard your institution’s valuable data assets and transform raw information into a tool for institutional trust and sustainability.
LESSON 1: Understanding Data Governance
This lecture introduces participants to the key international, regional, and national frameworks that shape data governance and protection in higher education. Through comparative analysis, the session highlights the relevant provisions that higher education institutions (HEIs) need to adhere to when managing student, staff, and research data.
In this first video, Dr. Kutoma Wakunuma establishes the foundation for the entire module by exploring the definition and profound strategic importance of data governance within African higher education. Dr. Wakunuma explains how robust governance serves as a primary driver for institutional planning, resource optimization, and curriculum relevance. She also introduces the People-Processes-Technology (PPT) framework, which guides how universities manage data responsibly at every stage of its lifecycle. Watch this video to learn how to transition your perspective of data from a simple administrative byproduct to an essential tool for institutional equity and quality assurance.
Reading Materials
Individual Exercise 1
LESSON 2: Legal and Policy Frameworks for Data Governance in Higher Education
As data analytics and artificial intelligence tools become increasingly embedded in educational environments, the policy landscape surrounding data becomes more complex. This lesson takes students through the complex international, regional, and national regulations that balance data protection with strategic academic collaboration. Students will analyze global privacy benchmarks, including the human-centered, inclusive UNESCO principles on AI and data, alongside the strict transparency and accountability standards of the European Union’s GDPR. Special emphasis is placed on the African Union Data Policy Framework, teaching you how to align your practices with continental priorities like data sovereignty, digital rights, and locally relevant data ecosystems. To conclude, the session covers national regulations, outlining the legal obligations of higher education institutions to secure personal student and staff data, execute privacy impact assessments, and define the compliance responsibilities of Data Protection Officers.
In this video, Dr. Kutoma Wakunuma dives into the complex legal and policy frameworks that govern higher education data. As universities increasingly engage in international research and adopt digital tools, understanding global standards like GDPR and UNESCO data principles becomes crucial. Dr. Wakunuma outlines how these international benchmarks interact with the African Union Data Policy Framework to promote continental harmonization, data sovereignty, and digital rights. This video is essential for understanding how to protect personal student and staff data while maintaining legal compliance across local, continental, and global boundaries.
Reading Materials
Individual Exercise 2
LESSON 3: Building Governance Structures (The PPT Framework in Action)
Guided by Kathryn Bailey, this highly practical session transitions from theoretical compliance to the active implementation of data systems. Students will learn how to operationalize the three pillars of the People, Processes, and Technology (PPT) framework within their own institutions to guarantee accountability and maintain data quality. In the “People” pillar, you will study how to map out and define explicit responsibilities for internal stakeholders—such as Data Protection Officers and Research Ethics Committees—as well as external third-party processors and auditors. Under the “Processes” pillar, you will examine how data securely flows through a university’s lifecycle, designing protocols for informed consent, data collection, anonymization, and eventual deletion. Finally, the “Technology” pillar introduces you to the infrastructure needed to enforce these choices, focusing on secure access control, metadata standardization, and privacy-preserving tools. As a final assessment, you will synthesize these pillars to draft a comprehensive Data Governance Policy document for your home institution.
This video uses real-world case studies, such as student analytics platforms and cross-border research projects, to highlight where data management processes often break down and how you can resolve them. You will learn how to design secure technological controls, define stakeholder responsibilities, and protect privacy through standard anonymization protocols. Watch this video to gain the practical skills required to design a comprehensive, ethical, and fully compliant Data Governance policy document for your university.
