Training Dates: July 1 – 3, 2026

Strengthening Research Capacity for High-Quality Oral Health Evidence

The CORE Project will hold a two-day Quantitative Research Data Management Training aimed at strengthening the capacity of researchers, postgraduate students, data managers, study coordinators, and research team members involved in health and oral health research.

About the Training

Quantitative data plays a central role in measuring oral health inequalities, understanding disease burden, assessing access to services, evaluating interventions, and informing policy decisions. However, the usefulness of quantitative evidence depends on how well data is planned, collected, coded, cleaned, documented, stored, and prepared for analysis.

This training responds to the need for stronger, more systematic, ethical, and reproducible approaches to quantitative data management across the research cycle.

Training Goal

The overall goal of the training is to strengthen participants’ ability to manage quantitative health research data in a rigorous, ethical, reproducible, and analysis-ready manner.

What the Training Will Cover

The training will focus on the full quantitative data lifecycle, including:

• • Data management planning and workflow design

• • Quantitative tool design and variable coding

• • Data entry, importation, and file organization

• • Data cleaning, validation, and consistency checks

• • Missing data review, duplicate detection, and outlier checks

• • Data dictionaries, cleaning logs, and documentation templates

• • Ethical data handling, anonymization, confidentiality, and secure storage

• • Preparing datasets for descriptive and inferential analysis

• • Practical demonstrations using tools such as Excel, Stata, SPSS, R, or other suitable platforms

Training Approach

The training will use an interactive and practice-oriented approach, combining short facilitator-led presentations, guided demonstrations, hands-on exercises, group work, peer learning, and plenary discussions. Practical examples from health and oral health research will be used to help participants connect data management principles to real research contexts.

Expected Outcomes

By the end of the training, participants are expected to be able to design or review basic quantitative data management workflows, develop simple data dictionaries and cleaning logs, identify and resolve common data quality issues, prepare datasets for analysis, and apply ethical principles in handling research data.

Why This Training Matters

Strong data management improves research quality, protects data integrity, supports reproducibility, and strengthens the credibility of research findings. For the CORE Project, this training contributes to broader efforts to generate high-quality, equity-focused evidence that can inform oral health policy, health systems reform, and improved service delivery in Kenya.

Expected Outputs

The training is expected to generate practical outputs including participant assessment results, training materials, data dictionary templates, data cleaning log templates, data quality checklists, participant feedback, and a brief training report documenting key learning points, challenges, and recommendations.