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Capability
Data management
We design how data is collected, checked, stored, linked, and handed on — so the file you analyse is complete, consistent, and documented. SAWE has served more than 15 data management projects.
This includes electronic data capture in clinics and communities, census-style survey instruments, cleaning, databases, and extracts for analysis in R, Stata, or Python.
What we do
From the field form to a trusted dataset
Form and instrument design
Skip logic, validation, required fields, and coding that matches the analysis plan.
Electronic data capture
Phone and tablet collection offline, then sync when a network is available.
Cleaning and quality
Range checks, duplicates, missingness, label consistency, and query lists for field teams.
Databases and storage
SQL databases and structured files with backups, roles, and a clear master copy.
Integration and ETL
Combine REDCap, ODK, Excel, DHIS2 extracts, and other systems into one analysis file.
Codebooks and handover
Variable dictionaries, value labels, and a documented extract for statisticians and auditors.
Tools we use
Collection, processing, and storage
Need this capability on a live project?
Tell us the dataset, the field setting, and the decision the work must support. We will propose a concrete stack and a delivery path.
Contact SAWE