Research Outputs

The project is generating a growing body of scholarly and knowledge outputs that reflect both its scientific rigor and practical relevance. In addition to academic publications, the project has contributed tools, datasets, training resources, and collaborative frameworks designed to translate findings into actionable recommendations for researchers, practitioners, and policymakers.

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Project Update: DS-I Africa Consortium Meeting

We attended the Second DS-I Africa Consortium Venue at the Protea Breakwater Lodge and UCT Graduate School of Business (GSB) Conference Centre in Cape Town, South Africa, from November 29 to October 3, 2022.

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The Bridging Gaps in the ELSI of Data Science Research (BridgELSI) Project is a collaborative research ethics study and training project that is focused on bridging the gaps in current governance framework on ethical oversight of data science health research by engaging key stakeholders to evaluate and co-develop novel governance framework for the Ethical Legal and Social Implications (ELSI) of data science health research in Nigeria. The project will implement short and medium-term training on ethics of data science for data scientists, ethicists and ethics committees, and strengthen the ethical working environment for data science health research in Nigeria.

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Prof. Temidayo O. Ogundiran
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Prof. Clement A. Adebamowo

The Team

The study personnel are experts in various fields (including bioethics, biostatistics, research ethics, law, program evaluation, qualitative and quantitative methods, epidemiology and public health).

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Completed Activities

Specific Aim 1a.

Aggregation and analysis of current frameworks for oversight of data science health research in Nigeria

The legal team examined laws, policies, guidelines, and frameworks relevant to all aspects of ethical conduct of data science health research in Nigeria, including the collection, storage, manipulation, analysis, and generation of results/reports from conventional and non-conventional data and their combination. The team analyzed these various laws, policies, guidelines, and frameworks to identify their authorities, weights, and jurisdictions. The team has done this to determine whether these instruments effectively cover ongoing and emerging ELSI of data science health research in Nigeria.

Legal Scholars

  1. Professor Simisola Akintola
  2. Professor Shawneequa Callier
  3. Dr Oluchi Maduka
  4. Miss Jennifer Kukucka

Publications

Specific Aim 1b.

Key Informant Interviews (KII)

Expert Team

  1. Professor Clement Adebamowo
  2. Professor Ayodele Jegede
  3. Dr Sally Adebamowo
  4. Mr Adeola Akintola

After reviewing the legal team’s findings, the KII team conducted an evaluation of stakeholders’ knowledge and perceptions of the effectiveness of the current governance framework as well as their recommendations for a novel governance framework for the protection of participants in data science health research in Nigeria.

The study sample included representatives of stakeholders in data science health research in Nigeria:

  1. Researchers involved in data science projects in Nigeria.
  2. Members of ethics committees of institutions hosting DS-I Africa project(s) in Nigeria.
  3. Officials of Ministries of Health, Justice, Communication, Science and Technology and Education in Nigeria.
  4. Key stakeholders in Nigeria data science private sector.
  5. Key Opinion Leaders (KOL) on data science, health research and IT in Nigeria.

Publications

Specific Aim 2.

Population Survey (1st round)

The population survey is the second aim of the BridgELSI project, designed to prospectively assess the knowledge, attitudes, and practices (KAP) of key stakeholders on the ethical, legal, and social implications (ELSI) of data science health research in Nigeria. By repeating the survey over time, we can track changes and trends as data science innovations and health research evolve.

The first round of the survey included 679 participants, and the data have been analyzed. Findings are currently being prepared for publication in a manuscript.

Ongoing Activities

Specific Aim 1c.

Developing a novel governance framework for Data Science Health Research

A working group will be formed from the stakeholders who participated in the KII. We will use the Modified Delphi Technique to engage this working group in developing a novel governance framework for data science health research in Nigeria. The novel guideline will be presented to the National Health Research Ethics Committee for adoption and implementation. The working group will continue to exist because we expect increased awareness in the coming years and throughout the project’s duration.

Experts

  1. Professor Simisola Akintola
  2. Professor Shawneequa Callier                
  3. Professor Clement Adebamowo
  4. Professor Temidayo Ogundiran
  5. Dr. Oluchi Maduka

Publications

Specific Aim 2.

Population Survey (2nd round)

This survey is designed to be conducted repeatedly over time, enabling us to observe trends and changes in KAP as data science health research projects and innovations continue to evolve in the country. Our hypothesis is that increased exposure to these projects will lead to improvements in knowledge, attitudes, and practices among stakeholders.

The second round of the survey will build upon the findings from the first round, allowing us to track changes in KAP over time.

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