Training on Talent for Data Quality and Integrity Checks in MEAL
Strengthen your organization’s MEAL systems with proven strategies for data quality, verification, and integrity management.
Next intake
20 Jul 2026 · Nakuru
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
High-quality data is the backbone of effective Monitoring, Evaluation, Accountability, and Learning (MEAL) systems. This course equips professionals with the knowledge and practical skills required to ensure data reliability, validity, and integrity across project cycles. It emphasizes the establishment of strong data quality control systems, ethical data handling, and efficient validation mechanisms that strengthen organizational decision-making and reporting credibility.
Participants will gain a comprehensive understanding of best practices and modern tools used in managing data flows, conducting verification, and implementing integrity checks aligned with donor and international standards.
Duration
5 Days
Who Should Attend
-
MEAL Officers, Data Analysts, and M&E Specialists
-
Program and Project Managers
-
Research and Evaluation Officers
-
Development and Humanitarian Practitioners
-
ICT and Data Management Professionals supporting MEAL functions
What you'll walk away with
By the end of this course, participants will be able to:
-
Understand the principles of data quality and integrity within MEAL frameworks.
-
Identify common risks, errors, and biases in data collection and reporting.
-
Apply systematic data verification, validation, and cleaning techniques.
-
Implement internal controls and quality assurance mechanisms.
-
Strengthen accountability and trust through transparent data governance.
What we cover, module by module
Module 1: Foundations of Data Quality and Integrity in MEAL
- Understanding MEAL systems and their role in organizational performance
- Principles and dimensions of data quality and integrity
- Common causes of data errors and mitigation approaches
- Ethical considerations in data collection and management
- Case Study: Data quality challenges in a humanitarian response program
- Practical: Identify data quality risks and gaps in a sample MEAL system
Module 2: Data Quality Assurance Frameworks and Tools
- Overview of Data Quality Assessment frameworks (USAID, WHO, and others)
- Designing DQA protocols, checklists, and verification procedures
- Data validation, consistency checks, and quality control methods
- Using DQA findings to strengthen program performance
- Case Study: Implementing DQA processes in a donor funded project
- Practical: Conduct a data verification and validation exercise
Module 3: Data Integrity Systems and Technologies
- Leveraging digital tools for automated data integrity checks
- Audit trails, traceability, and version control in MEAL systems
- Managing user access, accountability, and data governance
- Data security, privacy, and compliance with international standards
- Case Study: Strengthening data integrity using digital MEAL platforms
- Practical: Design a secure and traceable data management workflow
Module 4: Error Detection, Data Cleaning, and Reporting
- Techniques for identifying anomalies and inconsistencies in datasets
- Data cleaning, transformation, and validation approaches
- Building dashboards for real time data monitoring and reporting
- Ensuring quality and accuracy in data visualization
- Case Study: Correcting reporting inconsistencies in a health program database
- Practical: Clean and analyze a sample dataset for reporting accuracy
Module 5: Institutionalizing Data Quality in MEAL Systems
- Embedding quality assurance into routine data collection processes
- Developing data quality policies and standard operating procedures
- Building a culture of accountability and evidence based learning
- Continuous improvement strategies for MEAL data systems
- Case Study: Strengthening organizational MEAL systems through improved data integrity
- Practical: Develop a data quality improvement action plan for a MEAL system
Where the change lands
Organizational Impact
-
Strengthened institutional credibility through accurate and reliable data
-
Improved compliance with donor and international data standards
-
Enhanced decision-making based on verified and high-quality evidence
-
Reduced reporting errors and reputational risks
Individual Impact
-
Advanced skills in data validation, verification, and cleaning
-
Confidence in applying modern data quality tools and techniques
-
Improved ability to design and implement robust MEAL data systems
-
Recognition as a key contributor to evidence-driven program success
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- NakuruNext
20 Jul → 24 Jul·In-Person
Book this intake - Kigali
20 Jul → 24 Jul·In-Person
Book this intake - Accra
20 Jul → 24 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake - Johannesburg
27 Jul → 31 Jul·In-Person
Book this intake - Dakar
27 Jul → 31 Jul·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
You may also like.
Programmes in the same discipline that participants often pair with this course.
Hybrid5 daysUpgrade your digital skills with advanced computer training tailored for office administrators and secretaries.
Hybrid10 daysMaster advanced impact evaluation for evidence-based development. Learn to design and implement rigorous impact evaluations using advanced statistical methods and mixed-methods approaches.
Hybrid5 daysAdvanced training in M&E and data management for health professionals—improving reporting, policy, and program impact.
Course finder
Find the right course for you
Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.
For corporate teams
Training 10+ professionals?
We deliver Training on Talent for Data Quality and Integrity Checks in MEAL in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.