Unlocking the Power of Data in Africa’s Education Sector

BY CHARLES GACHOKI AND NAFISA WAZIRI

In recent years, the open data movement in Africa has experienced remarkable growth. What started as a focus on government programmes and portals has expanded into a dynamic ecosystem where civil society, research institutions, and the private sector drive the demand for data. To offer some perspective on the growing interest and importance of this issue, the African Union has estimated that the economic benefit of open data could equate to around 1-2 percent of GDP in Africa. Rallying behind this call, initiatives like the Data Governance for Africa Initiative have invested over US$1 million in the last year alone. Despite this progress, Africa’s open data performance still lags behind the global average

At its core, the open data movement is about empowerment. By making public sector data accessible, citizens can better understand how their governments are performing and hold them accountable for unmet goals. In the education sector, the stakes are high. Data shapes narratives, and those narratives influence power, policy, and resource allocation. This underscores the core objectives of the Unlocking Data Initiative. Established in 2020, and with recent support from the Global Partnership for Education Knowledge and Innovation Exchange (GPE KIX) and the International Development Research Centre (IDRC), this initiative has set out to strengthen education data systems and offer contextually responsive solutions to the challenges faced by researchers in Africa. 

Why Open Data Matters

As education reforms sweep across sub-Saharan Africa, the politics of data have become increasingly complex. Who controls access to data? Who decides how it’s used? And most importantly, how can data drive real change for learners, especially the most vulnerable?

Through the Unlocking Data Initiative, a consortium of Pan-African partners (eBASE Africa, EdTech Hub, ESSA, the University of Malawi’s Centre for Educational Research and Training (CERT), and Zizi Afrique Foundation) are at the forefront of efforts to answer these questions. This initiative (active in Cameroon, Kenya, and Malawi) aims to ensure that data becomes a powerful tool for educational transformation. 

To engage with partners and actors in the space, the Unlocking Data Initiative hosted a webinar on August 21, 2024, to launch the new phase of activities as part of the KIX grant. A wide range of organisations and participants including, representatives from the Ministries of Education in Cameroon, ⁠Mr TohMoh Joseph (Technical Advisor), Kenya, Mr Bartholomew Lumbasi (Director of Policy), and Malawi, ⁠Mr. Lanken Nkhata (Ag Head EMIS). These representatives joined researchers and education advocates through this interactive session to discuss data democratisation and explore ways of increasing access to and uses of education data. 

The Barriers to Unlocking Data

While the potential of open data is immense, early findings from the Unlocking Data Initiative research activities resonate with the experiences of stakeholders and partners. Simply put, significant challenges remain:

  1. Accessibility and Transparency: Many public datasets are difficult to access or not openly available, and the processes for requesting data can be opaque and bureaucratic. This includes a lack of clear metadata, original documentation, and contextual information to support the interpretation and appropriate use of the data. 
  2. Interoperability and Standardization: Data across different government agencies and programs often use different terminologies, formats, and definitions, making it difficult to aggregate and analyse data holistically. 
  3. Data Quality and Reliability: The quality of data collected is another critical issue. Inconsistent methods, outdated information, and political interference often undermine the reliability of evidence. For African nations to tell their stories and address challenges like learning poverty effectively, they need authentic, high-quality data that reflects their realities.
  4. Ethical Dilemmas in Data Sharing: Balancing transparency with confidentiality is a constant challenge. CSOs working with vulnerable populations must navigate ethical considerations, especially when data contains sensitive information about learners. Without proper anonymization and responsible use protocols, the risks of harm increase.
  5. Collaboration and Trust: Perhaps the biggest hurdle is the lack of collaboration between stakeholders. Mistrust, competing priorities, and unclear frameworks for data sharing create barriers that limit progress. For instance, while initiatives like Education Evidence for Action (EE4A) have made strides in fostering partnerships, much more needs to be done to bridge gaps and build trust.

A Path Forward

The Unlocking Data Initiative offers a promising model for change. By mapping foundational learning ecosystems, identifying gaps, and building capacity, this initiative is laying the groundwork for stronger, more collaborative data ecosystems.

Key strategies for success include:

  • Co-creation: Bringing together governments, CSOs, researchers, academics, and private organisations to design data tools and processes that are inclusive and responsive to local needs.
  • Digital Innovation: Establishing digital evidence hubs, such as the one proposed for Kenya’s Ministry of Education, to improve access and streamline data sharing.
  • Trust-Building: Developing clear policy frameworks and agreements to guide data sharing and ensure mutual accountability.
  • Capacity Building: identifying and plugging capacity gaps, especially with state actors and researchers, to not only be able to share data but also increase its usage in their decision-making.

By addressing these challenges head-on, Africa’s education sector can harness the full potential of open data to improve learning outcomes, reduce inequities, and drive sustainable change.

Unlocking data isn’t just about technology or policy—it’s about collaboration, trust, and a shared commitment to the future of Africa’s learners. As the Unlocking Data Initiative and other efforts gain momentum, it provides a blueprint for how data can transform education systems and, ultimately, lives.

The question is no longer whether open data can make a difference but how we can overcome the barriers to make it a reality. Let’s continue the conversation—and the work—of Unlocking Data for a brighter future. Please visit our website and follow our partners CERT. eBASE, EdTech Hub, ESSA, and Zizi Afrique Foundation on social media. You are also invited to participate and contribute to this work by joining our community of practice and Unlock the potential of Data!

Guidelines for Mapping Education Data in Sub-Saharan Africa

BY TASKEEN ADAM AND IRENE SELWANESS | Originally posted on EdTech Hub

© SHUTTERSTOCK/1417078181

Are you a government official, NGO or researcher looking to understand what education data is available locally? Our new guidance note shares practical lessons learnt from mapping the availability of education data in Kenya, Malawi, and Sierra Leone.

Last year, we posted about the Unlocking Data initiative and its goal to support access, use, and sharing of education data to effectively tell the story of education in Africa. In 2020,  we hosted a series of workshops that aimed to unpack the biggest barriers in data sharing. At these workshops, the community of practice realised that before we can truly discuss (re)using education data effectively, we need to understand what data exists, where the data gaps are, and what data indicators are needed for decision-making. To delve into the topic further, we hosted an event to showcase early ‘Lessons Learnt from Education Data Mapping in Africa’ and created a working methodology for education data mapping.

Moving from theory to practice

Unlocking Data and its partners have been working towards mapping education datasets in selected African countries. Through sharing lessons between the different mapping exercises, we realised that mapping education data happens in different ways. This could involve various stakeholders and can be conducted for a wide range of purposes. We found these different practical aims and approaches to be enlightening and incredibly beneficial to others, so we combined them into a guidance note on mapping Africa’s education data. 

Building on the data mapping methodology, the guidance note takes the theory to practice, sharing practical experiences, lessons learnt, and challenges encountered.

What can you find in the guidance note?

This guidance note would not have been possible without the key insights from the partners we interviewed. We are grateful for their contributions:

  • Eldah Onsomu shared insights on the mapping of Technical and Vocational Education and Training (TVET) data in Kenya
  • Esme Kadzamira shared insights on the mapping of administrative and survey data in Malawi, and
  • Iman Beoku-Betts and Chris McBurnie shared insights from the mapping of the supply and demand for education data in Sierra Leone.

The guidance note explores the different questions, purposes, successes, challenges, and key considerations learnt from these mapping initiatives, highlighting factors that other countries and stakeholders pursuing data mapping may find useful.

Initiating a data mapping project can be quite daunting. We found that it is important to scope it well from the onset, understanding what you are — and are not — hoping to achieve from the exercise. To assist future data mappers in scoping, the guidance note unpacks various rationales and approaches of the three data mapping projects through the following questions:

  1. What are the different purposes driving data mapping? 
  2. Who are the potential stakeholders in the process, and who are the end-users for this data mapping exercise? 
  3. What is the area of focus in education?
  4. What are the types of data that the data mapping intends to cover?

What key challenges did we identify in these data mapping projects?

Our review of  the different mapping projects identified  key challenges that are useful for data mappers to consider:

  1. Accessing and analysing data: Issues such as lack of data availability and/or accessibility, trust in data security, and skills to analyse data impact and the use of, and demand for, secondary data.
  2. Coordinating stakeholders: Data mapping involves multiple stakeholders (e.g., government officials, researchers, and non-governmental organisations) and getting a commitment from and convening and coordinating stakeholders is challenging.
  3. Presentation and dissemination of the mapping project output: Decisions around the most effective means of cataloguing and visualising the mapping output (i.e., whether a presentation, report, database or dashboard) have not yet been ascertained.
  4. Resources: Scoping the timeline and human resources needed for the mapping project is difficult as the amount of data is unknown, existing skillsets within teams vary, and the availability of key stakeholders can be erratic.

What’s next for Unlocking Data?

The strength of Unlocking Data is in its community, therefore, we want to learn more from you! What are you or your organisation doing to support access, use, and sharing of education data? In the next few weeks, we’ll be launching our call for more content, so you’ll be able to share your experiences with the network! To keep up-to-date with our knowledge-sharing blogs, upcoming events, and report releases,