Data management & analysis
What we do
We provide support through every stage of data management, from ensuring high-quality data collection to data cleaning, validation, and analysis, so that your findings are accurate, credible, and ready to inform evidence-based decisions.
Data collection support
Effective research begins with reliable data. We provide hands-on guidance and training for field teams to ensure consistency and adherence to research protocols. Our support includes developing field manuals, establishing supervision and monitoring systems, and implementing real-time quality control mechanisms. Whether through in-person or digital data collection, we help maintain accuracy, ethical standards, and data integrity throughout the process.
Data vetting and cleaning
Clean and vetted data form the backbone of trustworthy research outcomes. We assist in reviewing, validating, and cleaning datasets to identify inconsistencies, missing values or outliers. Using systematic processes and appropriate software, we ensure that your data is accurate, complete, and ready for analysis. Our approach enhances the reliability of your findings and reduces potential sources of bias or error.
Analysis framework
We support the development of robust analytical frameworks tailored to your research objectives and data type. This includes designing statistical or qualitative analysis plans, selecting appropriate software tools (e.g., SPSS, Stata, R, NVivo, Atlas.ti), and guiding the interpretation of results. Whether your study employs descriptive statistics, regression models, or thematic coding, we help translate data into clear, meaningful insights that drive actionable conclusions.