Data and Research
Methods Unit

Unlocking data-driven innovation for agricultural research across Africa and beyond.

Who We Are

IITA's Hub for
Data Excellence

The Data and Research Methods Unit (DRMU) is IITA's central hub for data excellence, scientific rigour, and digital innovation. We provide comprehensive support across the full research data lifecycle from project design and digital data collection to statistical modelling, geospatial analysis, advanced analytics, and research data sharing.

We empower IITA researchers, partners, and stakeholders with cutting-edge tools and services that promote high-quality, FAIR (Findable, Accessible, Interoperable, and Reusable) data practices ensuring every dataset contributes to impactful science and sustainable development outcomes.

As the primary point of contact for research data support, we provide strategic guidance, technical expertise, and hands-on training to strengthen institutional capacity. Our infrastructure includes secure data repositories, automated analytics pipelines, interactive dashboards, and APIs that streamline data workflows.

Through a robust governance and service delivery framework, DRMU fosters collaboration between research and delivery teams, dismantles data silos, and ensures that IITA remains a leader in digital agricultural research across Africa and beyond.

15+
Years of Experience
200+
Research Projects
50+
Scientific Publications
6
African Hubs Supported
DRMU team at work
DRMU field research
CGIAR Standards FAIR Compliant Open Data ISO Protocols
Our Expertise

Core Strengths

Specialized services and capabilities driving agricultural data innovation.

Research Design & Biometric Support

Expert guidance on experimental design and biometric analysis for robust, reproducible research outcomes.

Statistical Modeling & ML

Advanced statistical analysis and machine learning applications for complex agricultural and field data.

GIS & Remote Sensing

Spatial analysis and earth observation for precision agriculture, crop monitoring, and environmental science.

Systems Modeling & Analytics

Integrated modelling approaches for agricultural system optimization, scenario analysis, and prediction.

FAIR Data Management

Implementation of Findable, Accessible, Interoperable, and Reusable data practices across all research outputs.

Centralized Repositories

Secure data storage with standardized metadata and controlled vocabularies for enhanced discoverability.

Dashboards & Visualization

Interactive data visualization tools that turn complex datasets into clear, decision-ready insights.

Capacity Building

Training programmes in R, Python, GIS, and advanced analytics methodologies for IITA research teams.

Data Harmonization

Cross-project data integration and standardization enabling comparative analysis across IITA programmes.

Data transformation at IITA
100%
FAIR Compliant Output
Our Mission

We Don't Just Manage Data We Transform It

DRMU transforms raw data into actionable insights that drive sustainable development outcomes across Africa. We are committed to scientific excellence, digital innovation, and collaborative research that puts data at the heart of every decision.

Scientific Rigor

Methodological excellence ensuring valid, reliable, and reproducible research outcomes.

Digital Innovation

Pioneering tools and platforms that accelerate research impact across Africa.

Collaborative Approach

Bridging disciplines and dismantling data silos across research teams and hubs.

Data Standards

Built on FAIR Principles

Every dataset, every output, every research engagement is governed by FAIR data standards.

F
Findable

Rich metadata and persistent unique identifiers enable discovery by humans and machines.

A
Accessible

Data is retrievable via open, standardised protocols with authentication where required.

I
Interoperable

Formal knowledge representation and vocabularies allow integration across systems.

R
Reusable

Clear usage licences, provenance, and community standards enable future reuse.

Transform Your Research

Join us in building a data-driven, digitally agile institution equipped to address Africa's most pressing agricultural challenges.