Reliable decisions depend on reliable data. Somali Researchers Association (SRA) helps organisations assess, clean, validate, analyse and present data so that it is accurate, complete, consistent and useful for decision-making.
We work with survey datasets, monitoring databases, administrative records, programme indicators and qualitative research materials. Our services can be provided as part of a wider research assignment or as an independent review of data collected by another organisation.
Data Quality Assessment
SRA examines the systems, tools and processes used to collect, manage and report data. Depending on the assignment, our assessment may include:
- Reviewing questionnaires, registers, databases and reporting tools
- Checking the accuracy, completeness, consistency, validity and timeliness of data
- Comparing reported figures with source documents or original records
- Identifying missing values, duplicate records, outliers and inconsistencies
- Reviewing indicator definitions and calculation methods
- Examining how data moves from collection points to final reports
- Assessing data-management procedures and internal quality controls
- Recommending practical corrective actions
Data Cleaning and Validation
Before analysis begins, SRA applies systematic checks to identify and resolve data-quality problems. This may include:
- Range, format and logic checks
- Verification of skip patterns and questionnaire rules
- Detection of duplicate or incomplete records
- Cross-variable consistency checks
- Review of GPS coordinates and timestamps, where applicable
- Coding and organisation of open-ended responses
- Documentation of corrections made to the dataset
We maintain a clear record of the cleaning process so clients can understand what was changed and why.
Data Analysis
SRA transforms collected information into clear and meaningful findings. Depending on the research questions and available data, our analysis may include:
- Descriptive statistics and indicator calculations
- Cross-tabulation and comparison between groups
- Trend and change analysis
- Disaggregation by sex, age, location, disability or other relevant characteristics
- Statistical testing, where appropriate
- Qualitative coding and thematic analysis
- Integration of quantitative and qualitative findings
The analytical methods are selected according to the study design, data quality and intended use of the findings.
Data Visualisation and Reporting
We communicate results in formats that are accessible to decision-makers, technical teams and other stakeholders. Outputs may include:
- Data-quality assessment reports
- Cleaned and validated datasets
- Data dictionaries and codebooks
- Data-cleaning and validation logs
- Statistical tables and analytical reports
- Charts, maps and visual summaries
- Dashboards and indicator-tracking tools
- Presentations and management briefs
- Corrective action plans
Our Approach
Each assignment begins with an understanding of the client’s objectives, indicators and data systems. SRA then develops an appropriate assessment and analysis plan, reviews the available information, conducts quality checks and discusses key issues with the client before finalising the results.
Throughout the process, we apply appropriate confidentiality, data-protection and research-ethics procedures. Findings are presented clearly, limitations are explained, and recommendations are designed to be practical and actionable.
Make Better Use of Your Data
Whether you need to verify programme results, clean an existing dataset, analyse research findings or strengthen your data-management system, SRA can provide independent and context-sensitive technical support.
Contact SRA to discuss your data-quality and analysis requirements.