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. 2025 Dec 11;10:380. Originally published 2025 Jul 30. [Version 2] doi: 10.12688/wellcomeopenres.24070.2

Decolonisation and Self-Regulation as Alternative Paths to Data Science Health Research Governance in Africa

Oluchi C Maduka 1,a, Simisola O Akintola 1
PMCID: PMC12853021  PMID: 41623501

Version Changes

Revised. Amendments from Version 1

We thank the reviewers for their insightful comments. The manuscript has been revised to clarify that it adopts a case study methodology using a comparative analysis across five African countries—Nigeria, South Africa, Kenya, Ghana, and Uganda. We agree that African indigenous governance traditions align with global data governance frameworks such as the CARE Principles, particularly in asserting cultural sovereignty and emphasising relational ontologies that view individuals as embedded within community relationships. Comparable commitments appear in Indigenous models among Aboriginal Australians, Māori in New Zealand, and First Nations in Canada. Similarly, the UK’s Patient and Public Involvement and Australia’s Community and Consumer Involvement represent efforts to reconcile autonomy with collective participation. However, African philosophies extend these models. For example, Ubuntu in South Africa frames interdependence as an ontological reality, while the Yoruba concept of Omoluabi in Nigeria grounds governance in moral character, integrity, and communal accountability. These philosophies operate within existing structures—councils of elders, youth groups, and assemblies—embedding ethics within lived cultural systems. We have addressed concerns about potential concentration of authority by showing that empirical studies across Uganda, South Africa, Nigeria, and Kenya demonstrate mechanisms for inclusive engagement, such as community committees that ensure representation across gender and age groups. Using a human-rights lens, we acknowledge that while practices like communal consent foster legitimacy, they may marginalise vulnerable groups. The revised paper clarifies that ethical deliberation must balance cultural legitimacy with rights-based protections, ensuring equality and participation. Finally, the manuscript expands reflection on the unique challenges of DSHR, including secondary data use, cross-border flows, and group harms. It distinguishes between research conducted under consent waivers and DSHR, where large-scale datasets render individual consent impracticable, underscoring the need for alternative governance approaches.

Abstract

Introduction

Data science health research (DSHR) presents new ethical challenges to the traditional model of human subject research, particularly by enabling data processing without the consent of data subjects. Although the current research governance framework makes informed consent a cornerstone of ethical research practices, obtaining individual consent can often be impractical in DSHR. This paper explores the alignment of DSHR with African customary governance and communal lifestyles as a framework for ethical research oversight.

Methodology

This paper adopts a case study methodology, using a comparative analysis of decolonisation and self-regulation in health research across five African countries—Nigeria, Kenya, Ghana, Uganda, and South Africa. The study combines doctrinal analysis of legal and policy frameworks with reviews of peer-reviewed literature, case law, and diverse online resources such as PubMed, Google Scholar, HeinOnline, and government websites.

Results

Data science health research challenges traditional biomedical ethics by enabling data processing without consent, thereby questioning the longstanding principle that informed consent is a prerequisite for ethical research. However, this principle has been widely contested as a universal standard, particularly in African contexts where decision-making is often communal rather than individualistic. The case studies illustrate that while informed consent remains a normative requirement, largely to satisfy the expectations of funding bodies, communal approval is paramount. Furthermore, religious and cultural traditions often accommodate forms of paternalistic consent, reinforcing collective decision-making structures.

Conclusion

Given that African societies emphasise communal governance, the ethical challenges posed by DSHR, particularly regarding consent, may be less pronounced in Africa. However, decolonisation and self-regulation are not merely theoretical constructs, but a practical and necessary process that requires deliberate action. Unless African leaders take decisive steps to restructure governance, prioritise self-reliance, and invest in homegrown research and development, the discourse on decolonising DSHR in Africa will remain purely theoretical, lacking the practical implementation needed for real change.

Keywords: data science, health research, decolonisation, self-regulation, Africa, communitarianism, ethical governance, indigenous knowledge.

Introduction

The rapidly evolving landscape of data science health research (DSHR) challenges traditional ethical frameworks of health research governance, which emphasises individual autonomy and informed consent as their core principles 13 . Historically, this framework has been rooted in the principle that individuals must provide explicit consent before their data can be used in research 46 . However, the increasing use of artificial intelligence (AI), machine learning (ML) tools, high-performance computing (HPC), and vast, diverse datasets indicates that it may be possible for health researchers to conduct data-driven studies without direct interaction with participants, thereby challenging this traditional paradigm 3, 7 .

Over the past decade, some African scholars have critically examined the applicability of this individualistic model within the African context. They argue that it does not represent the communitarian ethos that underpins African cultures, norms, and ethical perspectives 811 . In many African societies, decision-making and well-being are viewed through a collective lens rather than an individualistic one, suggesting that an alternative governance model, one that embraces communal values, may be more appropriate for regulating health research. Despite these arguments, the dominance of Western funding bodies in global health research has entrenched the individual autonomy model as the foundation of health research ethics, leaving little room for alternative frameworks to gain traction 12 .

However, with the increasing complexity of data science methodologies, which often challenge the feasibility of obtaining traditional forms of consent, the communitarian approach long advocated by African scholars presents a viable alternative. This perspective supports a model of health research governance that prioritises collective well-being, shared decision-making, and trust, rather than rigidly adhering to an autonomy-driven framework that may not align with local cultural and ethical realities. Thus, as health research continues to evolve in the era of big data and AI, decolonising health research governance has become increasingly relevant. It necessitates a shift away from a one-size-fits-all model toward one that incorporates diverse ethical perspectives, particularly those that reflect the realities and values of African societies.

Overview of data science health research

According to the National Institutes of Health (NIH), data science is an “interdisciplinary field of inquiry in which quantitative and analytical approaches, processes, and systems are developed and used to extract knowledge and insights from increasingly large and/or complex sets of data” 13 . Data science researchers utilise several computational techniques, tools, and methods such as AI, ML, HPC and novel Algorithms to extract knowledge, meaningful insights, and innovations from complex and large datasets 1416 . These datasets are diverse, ranging from conventional and unconventional sources, including public health and epidemiological data, clinical and biomedical data, as well as social media platforms and wearable devices. Figure 1 illustrates these diverse data sources.

Figure 1. Different sources of data in data science health research.

Figure 1.

In the health sector, for example, data scientists combine these tools and techniques to enhance data mining from health data and other diverse sources to enable improved understanding and management of diseases 1720 . It is expected that the application of data science in health research will accelerate medical diagnosis 21 , and improve personalized medicine 2226 , and its ability to identify disease patterns could accelerate progress towards reducing disease burdens in Sub-Saharan Africa in line with the 2030 Sustainable Development Goals 27 . Presently, Africa bears 25% of the global disease burden 2830 . With the right expertise and strategic application of data science in health research, Africa can develop tailored solutions to its unique challenges and pave the way for sustainable health development. However, the rapid growth of this field brings with it unique challenges.

Traditional biomedical research, such as clinical trials, typically involves recruiting participants through direct interaction and obtaining their informed consent 31 . By contrast, DSHR depends on complex, large-scale, and diverse datasets, often without any direct engagement with individuals. It frequently entails the secondary use and reuse of data, as well as large-scale transfers across institutions and national borders, raising new challenges for data governance and ethical oversight 14 . Advanced computational techniques, including ML, can link disparate data points in ways that may expose individuals or groups who would not otherwise consent to participation, raising concerns about collective harm and the stigmatisation of specific communities 32, 33 . Moreover, the population-level effects of algorithmic outputs, particularly when they shape public health policy or clinical practice, highlight the limits of individual consent and the need for community-level governance 32 . Unlike conventional research projects with clearly defined endpoints, DSHR systems operate through continuous learning, evolving as new data are incorporated. This perpetual development cycle calls for ongoing oversight and adaptive governance mechanisms rather than the one-time consent models that have historically structured human subjects’ research.

Over the past decade, other forms of research methods, such as genomics and stem cell research have challenged traditional informed consent models given their opaque nature, leading to the birth of other consent models such as the broad and tiered consent. More so, several regulatory provisions like the United States Code of Federal Regulations in 45 C.F.R. § 46.116(c) permit consent waivers under specific conditions. These waivers are justified in circumstance where obtaining consent may be impracticable, where the research poses minimal risks, and where participants rights and welfare are not likely to be jeopardised. Notwithstanding these waivers, informed consent remains the normative foundation of ethical research. In contrast, however, DSHR renders informed consent impossible abi initio. Researchers working with complex, large volumes and tens of varieties of datasets recognise that individual level consent is impracticable, cumbersome and impossible to secure 3437 . Yet, informed consent remains deeply entrenched as the standard framework for ethical research. Justifiably as this may be, DSHR challenges this by enabling data processing without the need for physical interaction with participants. The possibility that individuals may be involved in research without their informed consent undermines the core principle of informed consent. In this regard, DSHR presents governance challenges that challenge existing frameworks, underscoring the need for alternative ethical approaches. Because of the scale and complexity of big data analytics, it is often unrealistic to obtain consent from every individual whose data is involved. In such circumstances, community-level consent may provide a more viable alternative. This challenge becomes more pronounced when considering that data science frequently involves repurposing existing data for new research questions, a practice that challenges traditional consent models while aligning more naturally with communal frameworks that prioritise broader community benefit over individual permission.

Within the past decades, some African scholars have begun to challenge the doctrine of informed consent as presently applied, arguing that African culture makes it impracticable. For example, Jegede discusses the inappropriateness of applying what he referred to as “Western bioethics” in African settings. According to Jegede, African ethics are deeply rooted in communalism, in contrast with Western individualism 38 . As a result, adopting the Western concept of autonomy to research involving human subjects in Africa without understanding the community’s important role is improper. Jegede further argues that disregarding community engagement in health research in Africa can lead to ineffective management and a lack of properly informed consent 38 . Furthermore, Retha Visagie et al. argue that obtaining free, prior, and informed consent is deeply embedded in cultural norms. They contend that a uniform approach to informed consent disregards the perspectives of those involved 39 . Instead, they advocate for an integrated strategy grounded in Afro-communitarianism, emphasising that social science researchers working with rural African communities must account for the values, concepts, and theories central to collective autonomy 39 . In addition, Behrens challenges the Western notion of individual autonomy, highlighting that in many African contexts, community is highly valued, and individuals are profoundly ingrained in their communities. Behrens believes that the idea of ‘respect for autonomy’ is problematic in Africa due to its failure to acknowledge the intrinsic relationality of individuals 40 . Appaih et al. 40 finds that the individual-based informed consent model in Africa is incompatible with social values and undermines community gatekeepers' authority. Appiah et al. recommend, among other measures, the development of an African-centered model to address the limitations of how informed consent is currently applied on the continent. Several other authors share the same sentiments 4143 .

However, while African communitarian philosophies provide particularly rich frameworks for rethinking consent, communitarian and relational approaches are not unique to Africa. African indigenous governance traditions align with global data governance frameworks such as Collective Benefit, Authority to Control, Responsibility, Ethics, (CARE) particularly in asserting cultural sovereignty and emphasising relational ontologies that understand individuals as embedded within community relationships 44 . Comparable commitments are evident in Indigenous models worldwide, for example, among Aboriginal Australians, Māori in New Zealand, and First Nations in Canada, which operationalise cultural sovereignty and relational ethics through collective decision-making and data governance 45, 46 . Even within Western contexts, initiatives such as Patient and Public Involvement (PPI) in the United Kingdom and Community and Consumer Involvement (CCI) in Australia represent attempts to reconcile individual autonomy with communal participation in research governance 47 .

Yet, African philosophies, however, contribute unique frameworks that move beyond existing models. For instance, the South African Ubuntu philosophy, with its foundational principle that “ I am because we are,” frames interdependence not as a social preference but as an ontological reality underpinning moral reasoning 4850 . Likewise, the Yoruba concept of Omoluabi in Nigeria, literally translated as ‘child of noble character’ provides a complementary framework emphasising moral character, integrity, and accountability to community welfare. In research governance contexts, Omoluabi principles require that researchers and community leaders demonstrate not only procedural compliance but also moral excellence in ensuring that decisions genuinely serve communal interests 51, 52 . Taken together, Ubuntu establishes the relational foundation for collective decision-making while Omoluabi provides ethical standards by which decisions are evaluated. These African philosophical traditions are embedded within indigenous political structures such as councils of elders and community assemblies, creating governance models that are not merely parallel to Western ethics but deeply integrated into existing cultural systems. This dual emphasis on relationality and character-based leadership differentiates African frameworks from other communitarian models that may prioritise collective benefit while maintaining individualistic assumptions about human nature or procedural safeguards alone.

Decolonisation

Decolonisation has been applied in various contexts, including health, education, politics, crime and justice, as well as governance, etc 53 . The most common application pertains to the process by which colonies become independent of the colonising country 54 . According to Ayana et al., decolonisation includes several political, social, economic and cultural aspects aimed at restoring autonomy, sovereignty and self-determination to formerly colonised territories and populations 55 . Decolonisation was gradual and peaceful for some colonies largely settled by expatriates, but violent for others, where rebellions by the indigenes were energised by a sense of nationalism. Decolonisation requires dismantling deeply entrenched colonial systems, ideologies, narratives, identities, and practices while simultaneously fostering reconstruction aimed at reclaiming humanity, restoring physical integrity, and affirming self-determination 55, 56 . Beyond achieving political and economic independence, which are key drivers of patriotic movements, it also involves addressing colonial legacies, including social injustices and cultural impositions 57 .

Theories and frameworks such as the Fanonian approach, restorative justice, and the Monchalin approach have been used to understand and analyse the concept of decolonisation. According to Frantz Fanon, the proponent of the Fanonian approach, decolonisation not only means political freedom but also unlearning what had been taught, as well as building new identities 58, 59 . Monchalin emphasises that decolonisation entails a profound transformation of colonial structures to address historical injustices and promote justice and peace through nation-to-nation partnerships 60, 61 . Monchalin's perspective on decolonisation underscores the need for a fundamental shift in colonial structures and ideologies, particularly within justice systems, to address historical injustices and promote genuine reconciliation and peace 62 . Indigenous decolonisation concepts focus on reclaiming self-determination, ancestral lands, and autonomous governance, drawing insights from the histories and resistance efforts of Indigenous communities worldwide. These perspectives challenge settler colonial rule, ecological destruction, and the loss of cultural identity, advocating for indigenous revival and the revitalisation of traditional knowledge systems 63 . Restorative justice and decolonisation, on the other hand, are interconnected frameworks that aim to address historical injustices and promote healing and transformation within communities. The integration of decolonisation into restorative justice practices seeks to dismantle colonial structures and ideologies, particularly in justice systems that have historically marginalised Indigenous and other oppressed communities 64, 65 .

Decolonisation within the context of Global Health Research

The arguments on decolonisation have been applied within the context of global health research, especially since the COVID-19 pandemic 66 . Issues about inequalities in resource allocation and expertise in data analysis, particularly in public health emergencies have raised issues of how colonisation has crippled Low and Middle-Income Countries (LMICs). These arguments suggest that it may be possible to have an African health research governance. Thus, any governance structure from the High-Income Countries (HIC) will be seen as a colonisation effort. Proponents of decolonising global health research argue for the dismantling of colonial influences in global health research. For example, Kumar et al. argue that there exist power imbalances and resource disparities among global health actors, which often favour actors from the HIC over the LMIC 67, 68 . Because of this advantage, actors from HICs dominate and shape global health structures, policies and practices, potentially sidelining the priorities and needs of the LMICs 12 . Recently, some African researchers have argued that the exploitative practices of extracting resources and data from LMICs without adequate benefit to the local populations raise issues of data sovereignty 69 . Consequently, decolonising global health will involve “removing all forms of supremacy within all spaces of global health practice within countries, between countries, and at the global level” 70 .

Self-Regulation

Throughout history, the everyday lives of most Africans have been governed by customary law, which is a system of rules recognised as binding by members of a community 71, 72 . Although unwritten, customary law played a crucial role in maintaining social cohesion and ensuring prosperity 73, 74 . Disputes within the community were resolved through witness testimony establishing the existence of customary practices. In rare cases, customary law judges acknowledged certain customs when they had become widely recognised and notorious 75, 76 . By nature, African communities were self-regulatory and self-sufficient, which underscored the importance of kings, elders, and community leaders in decision-making 7779 . This emphasis on communal governance also reinforced the prevalence of a communitarian lifestyle as the norm.

In this paper, we explored an alternative path to DSHR governance in Africa, which we termed decolonisation and self-regulation. Decolonisation is used not in terms of the historical colonial past, but rather to the act of rethinking and reshaping DSHR governance in Africa based on its unique societal, cultural, and ethical perspectives. We ask whether it is possible to approach data science health research from Africa’s unique perspective. Rather than adopting a framework predominantly shaped by Western paradigms, the paper proposes exploring whether Africa’s values, traditions, and communal priorities can inform and shape the governance of DSHR in a manner that is both relevant and respectful to local contexts. This approach invites a shift from merely adapting external models to actively crafting governance frameworks that emerge organically from African societies themselves. Self-regulation extends beyond the conventional idea of simply adhering to externally imposed rules. It suggests a more autonomous and self-determined approach, where African nations and communities take responsibility for the governance and ethical oversight of DSHR. This perspective argues that Africa’s distinct cultural, ethical, societal, and philosophical foundations provide an inherent capacity for self-governance that is both sustainable and culturally appropriate. By self-regulation, we do not mean an unchecked concentration of power in the hands of a few, but rather an ethic of restraint and accountability embedded within African communitarian traditions. In this sense, self-regulation complements, rather than replaces, formal legal frameworks. Health researchers must demonstrate judgment and responsibility in navigating the complexities of DSHR, particularly in decisions about the volume of data to collect, when to anonymise information, and whether publishing identifiable data serves a genuine public interest. Grounded in African communal values, self-regulation is reinforced by structures of collective accountability, such as peer oversight, community engagement, and relational ethics that mitigate risks of elite capture while ensuring that ethical responsibility remains at the center of research practice. Ultimately, it is indigenous moral frameworks such as Ubuntu and Omoluabi which emphasise human dignity, solidarity, and noble character that guide the model of self-regulation this paper proposes.

Materials and methods

This paper adopts a case study methodology, employing a comparative analysis of decolonisation and self-regulation in health research across five African countries: Nigeria, Kenya, Ghana, Uganda, and South Africa, each representing their respective regions and actively engaged in global research collaborations. Countries from North Africa were excluded due to language limitations, as some key materials were not available in English. The study draws on doctrinal analysis of legal and policy frameworks, complemented by a review of peer-reviewed literature, government policy documents, ethics codes, and institutional guidelines. The study further draws on a diverse range of online resources and databases, including PubMed, Google Scholar, HeinOnline, and government websites. Additionally, it incorporates reviews of case law, social media pages, and external sources such as funders, networks, and scholarly articles.

Current landscape of data science health research governance in Africa

The current landscape of DSHR governance in Africa is shaped largely by the already existing health research governance structures established over the past decades. Ethical frameworks, including Research Ethics Committees (RECs), have been instituted by many countries to review and oversee health research. RECs align their ethical review processes with international standards like the Declaration of Helsinki, the Council for International Organisations of Medical Sciences (CIOMS), the Belmont Report, the NIH Guidelines for the Conduct of Research Involving Human Subjects, as well as the World Health Organization (WHO) Operational Guidelines for Ethics Committees.

Research ethics regulations are fundamentally rooted in the Belmont Report, CIOMS Guidelines, and the Helsinki Declaration. These codes are anchored on the principle of autonomy, emphasising that individuals capable of making decisions must be allowed to do so, particularly in clinical care and research 80 . Considering that the principle is usually a condition for the award of grants, this principle has been entrenched within the African research community. However, the emphasis on individual autonomy often clashes with communal decision-making norms in many African contexts, where choices affecting health and research participation are negotiated within families or communities. Interpretations of autonomy in these settings tend to be relational rather than individualistic. While some commentators from liberal individualist perspectives characterise communal decision-making as constraining individual freedoms, little empirical work has examined how autonomy is operationalised in contexts where communal decision-making predominates. Communal decision-making practices, while sometimes portrayed as limiting individual choice, are in fact deeply rooted in cultural norms that prioritise collective welfare and social harmony 8184 . This cultural context contrasts with research ethics traditions that interpret autonomy primarily in individualistic terms. For example, practices that may be considered routine in many African communities, such as deferring to household heads or seeking approval from community leaders, would often be regarded as incompatible with prevailing ethical norms in more individualist-oriented settings. This underscores the importance of reconciling global research ethics principles with local cultural realities.

To address this gap, some African researchers began to emphasise community engagement. According to Tindana et al., community engagement is the establishment of genuine partnerships characterised by mutual respect, inclusive participation, power sharing, equity, and shared benefits to seek a "win-win" outcome in collaborative initiatives 85 . Community engagement is significant because it takes cognisance of community values, beliefs, and norms as they shape perceptions of study risks and benefits, influencing both independent decision-making and consent processes. Active community participation helps tailor consent procedures to local contexts, while engagement activities enhance communication, fostering respect, understanding of research implications, and acknowledgement of participants' contributions 86, 87 .

Community engagement activities may also facilitate interpersonal communication, which is key to showing respect and making people understand the risks and benefits of the research, as well as appreciating participants' contributions 88 . Through this approach, researchers argue that communities and their leaders must be involved and respected before any research is conducted, particularly in the demographic areas where the study will take place. Moreso, in an era of increasingly complex data ecosystems, where obtaining meaningful consent for online transactions is becoming impractical, the foundational emphasis on autonomy in research ethics guidelines warrants reconsideration. This is not a critique of autonomy but a call for reflection: if autonomy is the cornerstone of research ethics, it should not hinder the growth of DSHR. Researchers ought to insist on it even where the volume and complexities of the datasets present a challenge. However, the fact that one can argue that it can be dispensed with means that fundamentally, it is not an escape route 7 . Africa’s experience suggests that the challenges autonomy presents in some communities should inform more inclusive frameworks.

Secondly, assuming that research ethics guidelines were fundamentally developed in Africa, would the concept of informed consent have evolved differently? While respecting research participants would remain a priority, the process might reflect communal values rather than the purely individualistic approach of the current model. Some studies suggests that acquiring voluntary consent in African cultures can be difficult, requiring more than just providing information and securing consent 8993 . Religion, language hurdles, literacy levels, power disparities, and socio-cultural norms and beliefs can limit individuals' ability to freely agree to participate in research 83, 84, 94 . These issues are exacerbated where research is conducted in communities with strong ties to religious and cultural norms or where teenagers are actively involved in the research 9597 .

Finally, while scholars worldwide grapple with the challenges posed by DSHR, there is much to learn from Africa. Despite decades of adhering to external research ethics frameworks, African scholars have worked to preserve their cultural norms and practices through self-governance. This unique approach could serve as a model for integrating diverse perspectives into global research ethics frameworks.

Case studies of decolonised research models in Africa

Within Africa, over 40 countries have adopted some form of research ethics codes, largely reflecting global standards such as the Belmont Report, CIOMS Guidelines, and the Helsinki Declaration. However, a select few countries and initiatives have begun incorporating localised and decolonised approaches into their health research frameworks. This section highlights and discusses examples of these efforts.

The San People of Southern Africa. The San people of Southern Africa, also known as Bushmen, are one of the world’s oldest continuous cultures, with their history stretching back tens of thousands of years 98 . They are indigenous to Southern Africa, with a cultural identity identified as hunter-gatherers, a shared ancestry that has now been confirmed by genetic research 99 . Because they are the oldest genetic ancestors of modern humans, they have for years been the focus of health research 100 . San leaders have often felt dissatisfied and distasteful about some of the research and conclusions reached, especially when the San people were the subjects of research 101 . Consequently, in 2017, through strong leadership, the San leaders of Southern Africa developed the San Code of Research Ethics, the first of such in Africa. The key point contained in this Code is that researchers engaging with San communities must uphold the principles of fairness, respect, care, and honesty while also obtaining community approval through a simple process of community structures that were put in place 102, 103 . The San Code emphasises respect not only for individuals but also for the community, culture, and history. It specifically highlights past instances where San leaders were disregarded and excluded from the research process. The Code calls for open and transparent communication between researchers and San leaders, ensuring meaningful engagement. More so, it stresses that research should align with local needs and contribute to improving the lives of the San people. The Code emphasise that this care must extend to the families of those involved, as ethical research should recognise and respect the San people's identity while adhering to the cultural and social principles outlined in the Code of Ethics. In South Africa, communal consent is frequently operationalised through Community Advisory Boards (CABs), which act as intermediaries between research teams and local communities. For instance, in a schizophrenia genomics study among Xhosa participants, researchers established a population-specific CAB that advised on recruitment, consent procedures, and stigma-related concerns 104 . Similarly, biobanking projects have incorporated Ubuntu-informed models of engagement that emphasise solidarity and relational accountability 105, 106 . These models include extended community consultations, participatory governance structures, and public feedback mechanisms, thereby reconciling the individual consent requirement with African communitarian expectations.

Kenya. Kenya has implemented frameworks like the Kenya Medical Research Institute Guidelines (KEMRI), which prioritise local involvement and community consultation in health research.

Ethical approvals in Kenya often require researchers to demonstrate how they have engaged with local communities, reflecting an effort to align research with the values and needs of Kenyan society. For example, Section 9.1 of the KEMRI mandates investigators to ensure that community engagement, recruitment methods and advertisement for enrolment in a study are done in an ethically acceptable manner and that materials and methods used in recruitment are approved by KEMRI SERU 107 . The guidelines equally made provisions for the community advisory boards, a group that presents the interests of the community concerning the planned research to the Principal Investigator (PI). The PI is expected to define their community engagement plan in the study protocol and recruitment procedures. This will document relevant stakeholders, how potential participants will be approached, incentives to be given, and materials and advertisements to be used. Most importantly, Section 11.1 of the guidelines provides that to mitigate the risk of the research, community leaders must be involved throughout the regular meetings of the research.

Some researchers have relied on traditional assemblies and community forums to negotiate consent for studies involving vulnerable groups, such as children affected by HIV/AIDS. Vreeman et al. describe how community meetings, known locally as barazas, were used to gather collective views on participation, after which individual consent was sought from caregivers in private 108, 109 . In a large-scale genomic studies of severe childhood diseases, researchers combined public meetings with consultations with village leaders, elders, and households to ensure both legitimacy and trust 94 . This dual-layered approach respected cultural expectations for communal deliberation while preserving voluntariness at the individual level.

For the San people in particular, traditional structures, such as elders and community councils, are involved in the research process. For research conducted among indigenous communities or in rural areas, researchers are required to obtain the communal consent of leaders, elders, or councils before engaging individuals. This practice suggests that obtaining communal consent from leaders, elders, or councils is crucial for ethical research with indigenous communities where community decision-making is prioritised over individual autonomy. This also emphasises the importance of cultural sensitivity and collaboration within these communities 110112 .

Nigeria. Nigeria, the most populous country in Africa, is a nation of immense cultural and religious diversity. With over 250 native languages and multiple religious affiliations, health research in the country has often been fraught with controversy. However, since the introduction of the Health Research Ethics Code in 2007, greater coordination and orderliness have been brought to health research governance. As a predominantly paternalistic society, with over 50% of the population identifying as Muslim, traditional consent requirements have historically posed challenges 113 . Individual consent for women was particularly difficult to implement, as male family members customarily provided consent on behalf of their wives, and fathers did so for their unmarried daughters 114, 115 . This practice raises important considerations in the context of global health research ethics. The principle of autonomy asserts that individuals with decision-making capacity should be allowed to make choices concerning themselves. While religious and cultural factors may influence consent practices, a critical question arises: if a woman willingly permits her husband to make decisions on her behalf, has the woman exercised her autonomy? In a broader sense, if a community collectively agrees that a "king" should make decisions on their behalf based on their trust and belief in the ruler's character, can this be considered an exercise of their autonomy? These distinct African perspectives, although diverging from prevailing ethical norms in Western settings, warrant further engagement and recognition within global health research.

More broadly, the Nigerian Code of Health Research Ethics has institutionalised community engagement, mandating that researchers initiate discussions with communities before conducting studies. Ironically, this requirement places significant decision-making power in the hands of community leaders, who determine which research projects are acceptable for their members. To facilitate dialogue between community members, research participants, and researchers, the Code of Health Research Ethics provides for the establishment of Community Advisory Committees (CACs). These committees play a vital role in ensuring that community concerns are integrated into research activities. Some of their functions include relaying community concerns and issues to leaders, research teams, institutional officials, or the HREC, advising on key aspects of the informed consent process and assisting with participant recruitment and retention 116 . By incorporating these mechanisms, the Research Ethics Code seeks to balance respect for cultural norms with ethical research practices, ensuring that health research in Nigeria remains locally relevant.

Ghana. Ghana has actively implemented communal consent and community engagement strategies in health research, aligning research practices with traditional authority structures to ensure cultural appropriateness and community involvement. In northern Ghana, the Navrongo Health Research Centre (NHRC) has effectively integrated traditional community practices with modern research methodologies. By engaging local chiefs and elders through customary gatherings such as “durbars” the NHRC facilitates public discussions about proposed research projects. This approach not only respects traditional leadership but also fosters community trust and minimises potential ethical issues, thereby enhancing the ethical conduct of research. Similarly, the Kintampo Health Research Centre (KHRC) in central Ghana has prioritised community engagement as a core aspect of its research endeavours 117 . The KHRC involves community members in defining research agendas and seeks their input throughout the research process. Oduro et al. report that research teams working in the Kassena-Nankana District sought initial permission from chiefs and household heads before approaching individual participants 118 . This participatory approach ensures that studies address local health priorities and that findings are more readily accepted and implemented by the community 117 . Additionally, the Global Health Research Unit on Global Surgery (GSU) in Ghana has collaborated with local communities to inform surgical research. By engaging hernia patients, community leaders, and other stakeholders in rural areas, the GSU has gathered valuable insights into the relevance, acceptability, and feasibility of clinical trials. This engagement has led to protocol adjustments that better reflect community needs and preferences 119 . These initiatives underscore Ghana's commitment to integrating communal consent and community engagement into health research, ensuring that studies are culturally sensitive, ethically sound, and aligned with the health needs of its diverse populations.

Uganda. Studies have shown that since gaining independence in 1962, Uganda has made concerted efforts to decolonise not only its political structures but also its health system governance 120 . Scholars widely agree that colonial legacies in Uganda negatively impacted traditional forms of community participation in health system governance 121, 122 . However, recent event shows that there are efforts to go back to the precolonial era. For example, the government is actively supporting traditional medicine practitioners, recognising their role in the health system, a practice that was previously suppressed under colonial rule. A significant turning point was the landmark case of Salvatori Abuki and Richard Abuga v. Attorney General 123 , where the court declared unconstitutional the laws that criminalised traditional medicine practitioners under the guise of the Witchcraft Suppression Act. Additionally, initiatives such as Bulungi Bwansi, a self-help communal work system for public welfare, fostering collective action, traditional community engagement, and broader community participation, have been reintegrated into health system governance 121 . Section 3 of the National Guidelines for Research Involving Humans as Research Participants makes provision for a CAB, which must include members such as religious leaders, community leaders, as well as individuals with an understanding of local laws, cultural laws and gender issues. The main function of the CAB is to assist investigators in understanding and incorporating community concerns into their research activities. Although the Guidelines specifically provide that community involvement should not override voluntary informed consent, the community advisory boards are empowered to advise on issues central to informed consent 124 .

Discussion

Taken together, these case studies demonstrate how values, traditions, and moral philosophies inherent in many African societies can shape research governance. However, their significance is best understood in relation to the broader practices outlined at the outset, particularly the models of PPI in the UK and CCI in Australia. In the UK, PPI has become an established requirement in research governance. Frameworks such as Involve Patients promote co-design and advisory panels to ensure that patients shape research priorities 125, 126 . In Australia, the NHMRC requires demonstrable community engagement in ethics applications 127 . These models emphasise accessibility, advisory mechanisms, and institutional participation. While valuable, they seem to primarily reflect individualistic traditions of consent, assuming that engagement occurs within literate, urban, and institutionally connected populations. In the UK, for example, Involve often recruits contributors via patient organisations, public outreach, and networks. These contributors are expected to participate in advisory groups, review draft research protocols, attend meetings, and comment on written materials. Researchers are encouraged to use plain-language summaries and accessible communication in engaging public contributors 128 . Similarly, in Australia, the NHMRC consumer and community engagement is typically operationalised through public consultations, written submissions, and the involvement of consumer representatives (often via consumer or advocacy groups) on committees concerned with guideline development, peer review, and policy setting 129 . It may be argued that these modes of participation presuppose the ability to read technical documents, navigate institutional processes, and engage in formal deliberation. In contrast, African models of engagement demonstrate how collective authority structures, and cultural negotiation can broaden the meaning of participation beyond the institutionalised and individualist assumptions embedded in the PPI and CCI.

More so, the manner and extent of PPI in some parts of the west differ significantly across contexts. For instance, in the UK, PPI is not only encouraged but mandated in publicly funded research, with structured frameworks guiding implementation. By contrast, recent evidence from health research more broadly shows that although public involvement is recognised in principle, its actual uptake remains low, inconsistently reported, and largely discretionary rather than compulsory 130133 . Researchers are not obliged to embed public involvement in trial design, conduct, or dissemination, which often reduces engagement to a peripheral or symbolic exercise. For instance, Camelo et al. 134 indicated that stakeholders were not involved in the design and implementation of the study. Australia shows a clear gap between policy recognition and actual practice. National bodies strongly endorse consumer and community involvement, but in reality, the uptake has been limited. A systematic review, for instance, found that out of 325 randomized controlled trials published in the first half of 2021, only 17 (about 5%) reported involving the public in any way 135 . This contrasts sharply with many African societies, where public or communal involvement is not an external mandate but an inherent cultural expectation. Engagement is woven into decision-making structures and communal ethics, such that excluding it renders research not only ethically deficient but socially void. In this sense, while some frameworks in the west attempt to institutionalise public involvement through regulation, African communitarian traditions embed it as a lived practice.

Over the past three decades in Africa, research ethics regulations have proliferated, with a strong emphasis on respecting research participants. Many African countries have established ethics codes, largely adapted from international frameworks such as the Belmont Report, CIOMS and the Declaration of Helsinki. Informed consent is a key requirement, and research ethics committees play a crucial role in ensuring its implementation. However, while informed consent is considered a fundamental prerequisite for ethical research, it remains unclear how this consent is obtained in practice, particularly in rural communities where community leaders hold decisive authority.

The San Code of Research Ethics in Southern Africa provides one of the clearest examples of a locally grounded approach. It emphasises community approval and respect for culture, with meaningful engagement requiring open and transparent communication between researchers and San leaders. The Code arose from a history of exclusion and exploitation, where researchers often communicated in technical scientific language that the San could not easily understand. Consequently, the San expect researchers to communicate in accessible language and show respect for cultural dignity. This emphasis on linguistic and cultural accessibility has broader resonance. In Nigeria, for instance, the failure to meet parts of the Millennium Development Goals was linked to inadequate communication in indigenous languages: essential informational booklets were not translated, leaving rural communities unable to understand health interventions intended for them 136 . This further emphasises that, regardless of the good intentions behind global health practices, they must align with the cultural norms and values of the communities they aim to serve.This strong linguistic and cultural framing may contrast with practices in the UK PPI and Australian NHMRC guidelines which also stress accessibility and inclusion, but largely within literate, urban populations, thus, assuming that individuals can engage directly with institutional processes. Some of the African experiences demonstrate that meaningful participation requires adapting research into local cultural and linguistic forms.

Nigeria's advisory committees, as well as, and Kenya’s CABs further illustrate the integration of local norms into research governance. These bodies aim to align health research with community values by ensuring that experts who are socially connected to the population serve as intermediaries. At the KEMRI, for instance, community leaders are expected to be involved in regular meetings as a mechanism to mitigate risks and build trust. In northern Ghana, engagement with chiefs and elders through customary gatherings institutionalises this process, reinforcing legitimacy by embedding research within traditional authority structures. This aims to respect traditional leadership and foster community trust. Similar structures echo in the UK PPI where panels are convened to safeguard community interests. Again, a key difference lies in how tensions are resolved. While the UK and Australian models may rely on formalised institutional review procedures through Research Ethics Committees in the UK and Human Research Ethics Committees in Australia, African approaches often resolve tensions through dialogue with cultural authorities and negotiated consensus, reflecting communitarian traditions 42, 137 . In the case where researchers first sought approval from local chiefs before contacting participants, potential tensions were addressed by ensuring that individual parents were separately informed and retained the right to decline their child’s participation without any negative consequences 93, 118 .

While there are concerns that this gatekeeping risks undermining autonomy, more recent urban studies highlight that literacy barriers and household power dynamics continue to shape how consent is understood and practiced, particularly in low-income communities where community leaders play gatekeeping roles 138 . Nevertheless, empirical studies across Africa demonstrate that while traditional leaders often serve as initial gatekeepers, African research ethics practice incorporates mechanisms to prevent undue concentration of authority. In Uganda, CABs in HIV vaccine trials balanced the input of local leaders with representation of youth and people living with HIV 139 . In South Africa, H3Africa genomic projects developed layered engagement strategies involving chiefs, churches, and youth groups 86 . Similarly, in rural northern Nigeria, researchers merged family head consent with individual assent to navigate both communitarian and individual expectations. Genomics research in Ghana involved local chiefs at first, however, researchers supplemented chiefly approval with open durbar meetings to ensure younger voices were heard 93 . In Kenya, community engagement committees explicitly include elders, youth, and professionals to prevent unilateral decision-making 140 . These examples illustrate how African approaches to consent not only rely on communal values but also evolve practical checks against over-centralisation of authority.

Unlike in many African contexts where scholars call for the decolonisation of health research governance largely from within academia, Uganda provides a notable example of governmental leadership. The Ugandan state has taken concrete steps to embed decolonised principles into law and practice, through case law, legislative reform, and community-based initiatives such as the Bulungi Bwansi. This approach moves beyond advisory functions to embed ethical governance into the broader legal-political system. South Africa’s Good Clinical Practice Guidelines provide another example of blending global standards with local realities. Overseen by the National Health Research Ethics Council (NHREC), the framework incorporates community engagement, cultural sensitivity, and respect for local norms 141 . Importantly, research involving indigenous knowledge and traditional medicine is subject to regulation designed to protect cultural heritage, reflecting a move toward decolonised practices that preserve local ownership. Similarly, in Botswana, community participation is institutionalised through the involvement of tribal authorities in research approval processes. In essence, tribal leaders must provide consent on behalf of their communities before research can proceed, reflecting a communitarian rather than individualist model of consent 142 . The Botswana Health Research and Development Committee requires that research demonstrate relevance to community needs, while traditional leadership structures play a formal role in ensuring alignment with local values.

Placed alongside some of the engagement frameworks in the west, the African case studies reveal both parallels and divergences. While the UK’s PPI and Australia’s CCI guidelines promote patient and public involvement, it can be argued that participation privileges those with higher literacy and institutional access. By contrast, African practices highlight that community consent and traditional authority can carry equal, or even greater, legitimacy than individual consent, particularly in rural or indigenous settings where communal structures are socially authoritative 39, 43, 143 . Admittedly, both models risk marginalising certain groups, though in different ways: in the UK and Australia, exclusion often stems from formal literacy and professionalisation, while in African contexts it is shaped by reliance on cultural authority. While not without challenges, the latter reflects a normative commitment to communitarian legitimacy, rather than a pragmatic response to barriers such as literacy.

Overall, while these case studies, inclusive of the examples from the UK and Australia demonstrate diverse approaches to governance, they do not by themselves resolve the normative question of what ought to be done. International and regional instruments such as the Universal Declaration of Human Rights, 1948 and the African Charter on Human and Peoples’ Rights, 1981 articulate commitments to dignity, equality, and non-discrimination that can be used to assess whether particular practices protect or undermine these standards. Similar principles are echoed in the Universal Declaration on Bioethics and Human Rights, 2005, which directly links human rights to ethical guidance in biomedical and health research. Applying a human-rights lens requires critically interrogating customary practices where they risk excluding or harming vulnerable groups. For example, while the North-western Nigeria deference to the male head of household or to community approval can foster legitimacy and trust, it may also marginalise women, young people, or other groups, raising potential conflicts with rights-based obligations to equality and participation. Ethical deliberation must therefore recognise what is done in practice while asking whether those practices conform with minimum rights-based protections and, where necessary, identifying reforms that preserve cultural legitimacy without violating fundamental rights 144 .

There is often a natural tension between community self-regulation and individual human rights. On one hand, self-regulation works because it draws strength from local values, shared norms, and collective decision-making. But this can sometimes mean that the rights of individuals are not fully protected. On the other hand, if governance is based only on individual rights, it can weaken the authority of the community and reduce trust, especially in places where collective responsibility is highly valued. When the gatekeeping role of the community is overlooked, research itself may also suffer, since projects that ignore communal authority risk rejection, low participation, or lack of long-term support. A balanced approach would be protecting the dignity and equality of individuals, while also respecting the role of community structures. Human rights should not be seen as conflicting with self-regulation; rather, they provide the guiding framework that ensures self-regulation is fair, legitimate, and sustainable.

What does this mean for DSHR?

Data science health research raises ethical challenges that stretch the traditional model of informed consent. In many African contexts, these challenges may manifest differently, as decision-making is frequently embedded in collective structures and mediated through trusted community leaders. However, the absence of strict individual consent does not necessarily mean that legitimacy is lost. In societies where people tend to think in terms of “we” rather than “I,” the authority of the group and the practice of reaching consensus can provide a form of social cohesion that individual consent alone cannot achieve. For DSHR, this means that consent should not be treated as a uniform or universal requirement. Individual rights are crucial, but they need to be complemented by community oversight and accountability structures that resonate with local traditions. These communitarian practices are a principled way of recognizing that data belongs to people collectively, not only individually, and that decisions about its use can rightly be made together. This perspective is particularly important in data science, where risks are often collective. Entire groups can be stigmatised, re-identified, or disadvantaged by the way data are combined and analysed. Involving communities in governing such risks is ethically sound, but it must be accompanied by safeguards, clear rules, transparent processes, and technical protections, that defend both individuals and groups

Conclusion

The evolving landscape of DSHR calls for a governance model that is both ethically sound and culturally relevant. Informed consent has long been regarded as a cornerstone of global health research ethics because it embodies the principle of respect for persons. Yet, in practice, its dominant formulation places disproportionate weight on individual autonomy, which may not always align with the collective or relational values emphasised in many African societies. The challenges posed by DSHR, particularly regarding the feasibility of obtaining individual consent in large-scale data use, further expose the limitations of this governance model. However, these challenges should not be viewed as obstacles but rather as an opportunity for the global research community to fashion out governance structures that align with their indigenous ethical perspective. The frameworks emerging in countries such as Nigeria, Ghana, Kenya, and Uganda, in addition to the San Code of Research Ethics in Southern Africa, demonstrate a shift toward decolonised and self-regulated approaches that prioritise community engagement, respect for elders, and the role of local gatekeepers.

By embracing self-regulation and community-centred ethical standards, Africa has the potential to lead a transformative shift in global research ethics, which acknowledges multiple pathways to ethical legitimacy and affirms the value of diverse cultural and philosophical traditions, rather than relying on a single, uniform model. A decolonial and plural approach to informed consent and research ethics in global health can enhance social justice and accountability for all stakeholders 145 .

Limitations of this study

Decolonisation is not merely a theoretical concept, but a practical and necessary process that requires deliberate action. Those committed to decolonisation must take proactive steps to address the challenges that arise when dependence on Western structures is rejected. However, African governments have repeatedly demonstrated an inability or unwillingness to engage in meaningful discussions and initiatives on decolonisation. Despite the continent's vast resources, many political leaders continue to rely on foreign aid and grants from Western nations rather than pursuing innovative, homegrown solutions to economic challenges. Instead of fostering self-sufficiency, this dependency perpetuates poverty and hinders sustainable development. While private institutions and researchers are making commendable efforts to advance the decolonisation agenda, policy discussions in this area ultimately require political will. Since legal frameworks largely dictate national policies and institutional practices, any substantial progress must be driven by legislative and governmental action. Unless African leaders take decisive steps to restructure governance, prioritise self-reliance, and invest in homegrown research and development, the discourse on decolonising health research in Africa will remain purely theoretical, lacking the practical implementation needed for real change.

Secondly, this study acknowledges that limiting the analysis to five countries out of Africa’s 54 may not fully capture the continent's diverse health research governance landscapes.

Further research

While this paper outlines the need for decolonised approaches to health research governance, particularly as it concerns DSHR, further research is required to develop concrete methodologies and procedures for implementing these proposals effectively. Further research could explore more case studies within diverse African sociopolitical contexts to assess best practices for integrating Africa’s unique communitarian ethos into existing regulatory structures in a way that is globally accepted and ethical.

Ethical approval

This research study did not involve human participants, identifiable personal data, or biological samples and therefore did not require ethical approval.

Consent

N/A

Acknowledgments

We acknowledge the Wellcome Trust for providing Oluchi C. Maduka with a travel grant to attend the Oxford Global Health and Bioethics International Conference 2024, where the proposal for this paper was first discussed. We also extend our gratitude to all the delegates who contributed valuable ideas to this paper.

Funding Statement

This work was supported by Wellcome [221719].

The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

[version 2; peer review: 1 approved, 2 approved with reservations, 1 not approved]

Data availability statement

The data for this article consists of bibliographic references, which are included in the References section.

Reporting guidelines

N/A

Supplementary materials

N/A

AI use declaration

The authors declare that artificial intelligence tools, including ChatGPT, Consensus AI, and Grammarly, were used solely for brainstorming and language refinement during the preparation of this manuscript. All intellectual contributions, analyses, interpretations, and conclusions are entirely the work of the authors. No AI tools were used to generate substantive content, conduct data analysis, or contribute to the study’s conceptual or empirical findings.

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Wellcome Open Res. 2026 Jan 28. doi: 10.21956/wellcomeopenres.27741.r142306

Reviewer response for version 2

Pier-Luc Turcotte 1

I would like to thank the authors for writing this important piece that seeks to provide an alternative to western dominant models of ethical frameworks. I find the case studies to be informative and detailed and they provide a guidance for undertaking these alternative approaches rooted in decoloniality.  Apart from the clarity and substantiality of the argument, I particularly appreciate how this paper challenges the dominant individualistic views of informed consent, which are inherently detaching individuals from the context in which decisions are made. This view reinforces colonial and imperialistic dynamics when applying western approaches to bioethics.  This study has relevance for any research conducted within Indigenous contexts beyond Africa. In Canada, First Nations community often define confidentiality as a colonial principle which distances research practices from collective understanding and ownership of knowledge. As the authors highlight, Africa bears the consequences of colonial and imperialistic practices, leading it to bear a quarter of the global disease burden. This in-itself should justify applying ethical principles rooted in indigenous ways of knowing and doing.  My only minor request would be to revise the sentence beginning with: "According to Frantz Fanon, the proponent of the Fanonian approach". Consider removing "the proponent of the Fanonian approach". Fanon is not the proponent of his own approach which outlived him. This portion is implied and not necessary. I hope this paper is indexed so I can refer to it in my own research. Thanks to the authors for producing it.

Is the work clearly and accurately presented and does it cite the current literature?

Yes

If applicable, is the statistical analysis and its interpretation appropriate?

Yes

Are all the source data underlying the results available to ensure full reproducibility?

Yes

Is the study design appropriate and is the work technically sound?

Yes

Are the conclusions drawn adequately supported by the results?

Yes

Are sufficient details of methods and analysis provided to allow replication by others?

Yes

Reviewer Expertise:

My research is conducted with First Nations communities in Canada. I apply Fanon's work and other anti-colonial approaches in health and rehabilitation.

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

Wellcome Open Res. 2026 Jan 24. doi: 10.21956/wellcomeopenres.27741.r143899

Reviewer response for version 2

Yann Joly 1, Jessica Huang 2

Thank you for the opportunity to review this manuscript. This is a conceptually ambitious and timely piece that engages an underexplored question: how data science health research (DSHR) governance might be rethought through African communitarian ethics and decolonial perspectives. The writing is generally clear and easy to follow, the authors provide a helpful overview of why DSHR strains traditional informed consent models, and the amendments addressing previous reviewers’ comments offer substantial improvements. I recognize that my perspective is shaped by training in research ethics outside the Global South, which may introduce limitations or bias in how I interpret communitarian governance models and decolonisation arguments.

Major comments

  1. Scope and specificity of DSHR governance claims – One central concern is that the authors at times conflate challenges associated with research conducted without individual consent in general with challenges specific to DSHR. The paper does not make clear whether the proposed communitarian governance approach resolves DSHR-specific ethical issues (e.g. secondary data use, automated decision-making, cross-border data flows, continuous learning AI systems, group-level harms, re-identification risks), or whether it primarily addresses traditional informed consent limitations. It should be considered, for example, how communitarian frameworks address algorithmic group harm, what governance mechanisms suit continuous data reuse, or how collective consent function when data subjects are unaware their data exists in research databases. If this DSHR-specific issues are indeed the focus of the piece, it would be helpful to clarify how African governance frameworks meaningfully respond to distinct DSHR challenges beyond consent, otherwise the title should be revised to reflect broader health research governance with DSHR as illustrative.

  2. Engagement with rights-based critiques – Earlier reviews of the piece raised concerns about concentrated authority and individual rights violations, and the revision acknowledges these issues but doesn’t resolve them. The authors state that they must be balanced (p.10), but don’t explain how to balance them when they conflict, such as providing a framework for resolving internal dissent or addressing discriminatory practices (e.g., male heads of household consenting on behalf of women). Adding concrete governance mechanisms, such as mandatory consultation with potentially marginalized groups, individual opt-outs, or data transparency would substantially strengthen this section.

  3. Distinctiveness of the proposed governance alternative – The paper positions African communitarian governance as complementary to, rather than a replacement for, existing models such as UK PPI, Australian CCI, Indigenous CARE principles, and First Nations data sovereignty frameworks. However, it remains unclear what new normative principle, governance mechanism, or practical decision rule this proposed approach introduces that would substantively change DSHR governance beyond existing models. The inclusion of Ubuntu's ontological foundation and Omoluabi's character-based ethics adds valuable conceptual depth but adding how these philosophies are practically applied would strengthen the argument.

Minor comments

  1. Methodology (p.6): The authors should provide a more detailed rationale for selecting the five case-study countries. The exclusion of North Africa due to language limitations can be explained further or can be acknowledged as a potential bias in limitations.

  2. Decolonisation (p.5-6): The term “decolonisation” seems to serve a dual purpose: historical independence and reshaping governance based on African perspectives. The authors could consider using distinct terms (“political decolonisation” vs “epistemic decolonisation”) and clarify whether this means African data sovereignty, rejecting Western frameworks of data consent, developing hybrid models, or something else.

  3. Self-regulation (p.6, Discussion): The discussion of self-regulation risks conflating researchers' moral agency with community governance structures. The authors should clarify whether "self-regulation" refers to researcher discretion, community self-governance, or African states regulating without external frameworks.

  4. The authors should clarify if there is a mechanism to resolve situations in which external actors (Global North researchers, industry) may exploit community consent within communitarian frameworks to bypass individual protections or justify extractive data practices.

Is the work clearly and accurately presented and does it cite the current literature?

Yes

If applicable, is the statistical analysis and its interpretation appropriate?

Not applicable

Are all the source data underlying the results available to ensure full reproducibility?

No source data required

Is the study design appropriate and is the work technically sound?

Yes

Are the conclusions drawn adequately supported by the results?

Partly

Are sufficient details of methods and analysis provided to allow replication by others?

Partly

Reviewer Expertise:

ELSI of genetics, data science ethics, research ethics, data sharing

We confirm that we have read this submission and believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however we have significant reservations, as outlined above.

Wellcome Open Res. 2025 Sep 5. doi: 10.21956/wellcomeopenres.26556.r128832

Reviewer response for version 1

Melissa McCradden 1

This is a thought-provoking and challenging piece, which I think is a valuable contribution to the literature. The paper describes use case examples of the application of decolonization applied to the issue of consent in data science health research within the African continent. This reviewer offers some major and minor recommendations for consideration of improving the article's rigour.

MAJOR

As indicated below, it is unclear if the fit for this paper is in the 'Original Research' category as it is more accurately describes as a case study (as noted in the Materials and Methods section). This would validate the authors' approach which is non-systematic in nature and does not require comprehensive reporting of methodology.

It would be valuable to see the paper engage further with the extensive literature around patient and public engagement in 'Global North' or globally dominant countries (E.g., UK and Australia in particular). The practices described in the use cases are very closely matched to the requirements around research in the Australian NHMRC, for example. Certainly, this comment does mean to say that the approaches in these countries are the standard or are effective; rather, it would be of great value to the literature for readers to understand the uniquely African contributions that expand how we should understand engagement frameworks for research. Particularly, it would be interesting to see differences in how not only the concepts are applied, but how the tensions are resolved (further comments below).

“For instance, a decision that might seem routine in Northwestern Nigeria, such as deferring to the male head of the family, a husband or getting community approval, might be seen as outrageous in the more advanced economies such as the United States or the United Kingdom.” I wonder if the authors might consider the potential relevance of human rights in a context like this, which many have used to ground certain required commitments within the cultural context? In bioethics, for example, it is long recognized that simply because a situation is the case, does not necessarily mean it ought to be the case. Within both Western and non-Western contexts considering what IS done against what SHOULD be done is a core feature of ethical deliberation, and grounding in human rights provides a common foundation on which to build. It would be valuable to understand how these sorts of perceived universal concepts apply (or perhaps do not apply?) within this context?

Along similar lines, it would be helpful to articulate the authors’ reflections on the argument that rather than being decolonial, communalist approaches to consent are at risk of recapitulating colonialism by consolidating power in the hands of a few. These few then decide what the best thing is for a larger group of individuals. This concern may be particularly salient in light of the fact that community and patient engagement research in the context of data science has been criticized for being tokenistic and symbolic (e.g., Madden & Speed, 2017). How might we address the tensions of self-regulation and human rights? The authors touch on some of the tensions between individual rights and communal benefit in the paper, and it would strengthen to paper to see more engagement on this topic.

As the topic is about data science governance, it might be worth expanding whether there is something unique about data science and its considerations (or is there not?) and the implications of such under these frameworks.

MINOR

Section 1 - in patient engagement, an often utilized framework is that of the ladder, wherein the level of engagement and the reciprocity required are considered. Eg, at the lowest level, ‘inform’ is utilized whereas the highest level is empower (patient has control over the whole research). Does this apply in the authors' own context, or is engagement an all-or-nothing conceptualization?

In the abstract, the Methodology section states 'mixed-methods' as an approach; however, no formal methodological framework relevant to mixed methods is applied. The notion of a 'case study' is more accurate and applicable, and does not devalue the importance of this paper. If this framework is applied, it is thus not a problem that the paper is lacking in methodological details.

A key piece I think the authors might wish to consider is how to reconcile some of discrepancies between young and older generations in terms of the norms they wish to abide by. For example, a potential vulnerability of requiring the approval of a local elder or king before the community is approached about research rests a considerable amount of power in a single person. And people - of all races - are subject to their own beliefs and values, which means that potentially beneficial research may not reach certain communities, depriving them of access-related opportunities. How might African approaches to consent suggest a researcher manage such a tension?

Is the work clearly and accurately presented and does it cite the current literature?

Partly

If applicable, is the statistical analysis and its interpretation appropriate?

Not applicable

Are all the source data underlying the results available to ensure full reproducibility?

No source data required

Is the study design appropriate and is the work technically sound?

Partly

Are the conclusions drawn adequately supported by the results?

Partly

Are sufficient details of methods and analysis provided to allow replication by others?

Partly

Reviewer Expertise:

bioethics, research ethics, data science

I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.

Wellcome Open Res. 2025 Sep 4. doi: 10.21956/wellcomeopenres.26556.r129872

Reviewer response for version 1

Abdoul Jalil Djiberou Mahamadou 1

I appreciate the opportunity given by the authors and editor to review the manuscript. The authors advocate for localized and culturally sensitive data science in health research governance in Africa, with a particular emphasis on informed consent. The paper is timely, as artificial intelligence (AI) is increasingly being adopted in Africa, particularly in healthcare and medicine. African countries are also aiming to establish regional and national governance measures, as highlighted in the African Union's Continental AI Strategy. I appreciate the representativeness of the case studies as related to different African regions.

I have a few comments about the manuscript:

  1. The authors state “[DSHR] presents new ethical challenges to the traditional model of human subject research, particularly by enabling data processing without the consent of data subjects.” Research can be justified without consent under a waiver of consent. For instance, in the US, section 45 CFR 46.116(c) specifies conditions under which consent can be waived. Thus, the authors should make a distinction between researchers who have a waiver of informed consent and those who don’t.

  2. The authors should make distinctions between traditional informed consent (e.g., for data collection and use) and consent as disclosure of the use of AI in the clinical setting.

  3. The authors situate the manuscript title and introduction within the umbrella of data science and health research. However, the case studies and discussion appear to be independent of data science. For instance, the NHRC has existed for over three decades, and I assume their practices around informed consent. Broadly speaking, some aspects of African human research governance may have existed even before the advent of modern data science. I suggest the authors discuss how modern data science challenges the elements of [African] informed consent/governance (i.e., community engagement, cultural sensitivity, and respect for local norms).

  4. The authors should make distinctions between the self-regulation as defined in the manuscript and the self-regulation terminology used in the literature. For instance, studies have shown that healthcare AI researchers are self-regulated in the sense that they may or may not have a moral engagement with the AI systems they develop (see PMC9782696 and PMC10690528). Although the mentioned study is not specifically in the context of informed consent and Africa, its findings can be extrapolated to these contexts. In line with the authors' self-regulation definition, “Self-regulation implies that individuals can exercise a degree of control over their affairs, rather than relying solely on established legal rules,” what if African researchers decide to conduct research without participants’ consent?

    I do not quite agree with this on page 6: “This includes making informed decisions about the volume of data to use, determining when to anonymise data, and assessing whether publishing identifiable information is justified, particularly when it does not serve the public interest”. This implies that a researcher, particularly one with a power imbalance, can collect unnecessary data and inadvertently expose participants’ identities.

  5. The authors should acknowledge that not all Western governance initiatives are individualistic. For instance, indigenous data governance in the US and Canada (e.g., https://www.gida-global.org/care) has some overlapping principles (e.g., collective well-being) with African cultures and traditions.

  6. There won’t be a one-size-fits-all model of informed consent in the context of DSHR. For instance, informed consent in genomic research processes may differ from that in other domains. For more information, I recommend consulting the work of Dr. Jantina de Vries (https://scholar.google.com/citations?user=aT-TJQgAAAAJ&hl=en&oi=ao) or the H3Africa consortium (https://h3africa.org/), which has published extensively on topics such as informed consent, community engagement, and other ethical issues in Africa. Thus, I suggest that future iterations of the work on developing “concrete methodologies and procedures for implementing these proposals effectively” focus on specific data types or AI applications.

  7. There is a significant lack of literature on decolonial data and AI governance in Africa, for instance, using the Ubuntu Philosophy and specifically related research ethics and informed consent, which I encourage the authors to acknowledge and discuss how their contributions differ from existing work. To name a few (see the added citations 1-5).

Is the work clearly and accurately presented and does it cite the current literature?

Partly

If applicable, is the statistical analysis and its interpretation appropriate?

Not applicable

Are all the source data underlying the results available to ensure full reproducibility?

No source data required

Is the study design appropriate and is the work technically sound?

Yes

Are the conclusions drawn adequately supported by the results?

Yes

Are sufficient details of methods and analysis provided to allow replication by others?

Yes

Reviewer Expertise:

Bioethics; AI Ethics; Computer Science; Cognitive Aging; Uncertainty Modeling

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.

References

  • 1. : The Ubuntu Way: Ensuring Ethical AI Integration in Health Research. Wellcome Open Research .2024;9: 10.12688/wellcomeopenres.23021.1 10.12688/wellcomeopenres.23021.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. : An African Relational Approach to Healthcare and Big Data Challenges. Science and Engineering Ethics .2021;27(3) : 10.1007/s11948-021-00313-w 10.1007/s11948-021-00313-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. : Introducing Responsible AI in Africa. 10.1007/978-3-031-08215-3_1 1-11 10.1007/978-3-031-08215-3_1 [DOI] [Google Scholar]
  • 4. : Data revolution, health status transformation and the role of artificial intelligence for health and pandemic preparedness in the African context. BMC Proceedings .2021;15(S15) : 10.1186/s12919-021-00228-1 10.1186/s12919-021-00228-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. : African Data Ethics: A Discursive Framework for Black Decolonial AI. FAccT '25: Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency.2025;

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Data Availability Statement

    The data for this article consists of bibliographic references, which are included in the References section.

    Reporting guidelines

    N/A


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