The Global Research Nurses (GRN) and The Global Health Network (TGHN) are pleased to announce a specialized two-day workshop designed to strengthen data analysis capacity among nurses and midwives in Ghana’s Health Training Institutions. Titled “A 2-Day Workshop on Data Analysis for Nurses and Midwives in Health Training Institutions in Ghana Using Free and Open-Source Software,” this training will equip participants with practical analytical skills essential for today’s evidence-driven health systems.

As the demand for data-informed decision-making continues to grow, nurses and midwives who form the backbone of Ghana’s healthcare workforce must be empowered to interpret, analyse, and apply data effectively. This workshop provides a unique opportunity to build those competencies using accessible, free, and open-source tools.

Event Details

• Dates: November 13–14, 2025

• Time: 7 hours per day

• Structure: 2 days, 4 sessions (each approximately 3 hours)

• Mode: Face-to-face

• Participants: 45 nurses and midwives

• Language: English

• Venue:
  Kwame Nkrumah University of Science and Technology (KNUST)
  Institute of Distance Learning Center, Ghana

This immersive workshop is tailored for nurses and midwives at Health Training Institutions and Graduate Schools seeking to enhance their data literacy and analytical capabilities.

Why This Workshop Matters

In health research and practice, data is only as valuable as the ability to analyse it. Strengthening analytical skills among nursing and midwifery professionals helps improve decision-making, enhances research quality, and promotes evidence-based interventions that directly impact patient outcomes.

By focusing on open-source tools, this training ensures that participants can continue practising and applying what they learn long after the workshop, without financial barriers.

Key Learning Objectives

By the end of the workshop, participants will be able to:

1. Perform Data Exploration Using Tables and Graphs

Participants will learn to organize, visualize, and interpret datasets—identifying trends, patterns, and insights crucial for research and clinical decision-making.

2. Generate Reproducible and Reusable Reports

Through hands-on sessions, attendees will gain skills in creating automated, reproducible reports that support consistency, transparency, and evidence-based practice.

3. Identify Ways Artificial Intelligence Can Enhance Data Analysis

The workshop introduces practical applications of AI in data processing and analysis, helping participants understand emerging digital tools that can strengthen research impact.

A Step Forward for Nursing and Midwifery Research in Ghana

This workshop represents an important contribution to strengthening Ghana’s research ecosystem by empowering nursing and midwifery educators, researchers, and leaders with the analytical skills required for high-quality research and informed healthcare delivery.