Research
Data Collection, Translation & Integrity
From the field to the database, accurately and securely.
Purpose & context
From the field to the database, accurately and securely.
Data enters systems through USSD, SMS, paper records, field enumerators, community networks, and informal channels. Each channel introduces its own risks of error, loss, and unauthorised access. We design secure collection protocols, translate and structure data from hard-to-use sources, and train field teams to maintain integrity from the point of first capture. Research examines collection methods, capture systems, systematic quality control and the consequences of source errors for downstream reliability.
A good fit when
- You collect information through several channels.
- Field teams need an offline or low-connectivity workflow.
- Records need cleaning, translation or verification before analysis.
What we cover
Focused work. Useful evidence.
Design secure data collection protocols for low-resource and low-connectivity environments
Translate and structure data from paper, audio, and unstructured digital sources
Build verification pipelines that catch errors before they propagate
Train field teams on secure collection, handling, and transmission practices
Assess data quality and integrity across multi-channel ingestion systems
What you take forward
Outputs designed to be used.
The final scope is agreed together. Depending on your needs, the engagement can include:
- Collection protocol and data dictionary
- Validation rules and an exception log
- Documented transfer and access controls
- Field-team guidance and handover notes
How we approach it
From the question to a practical next step.
Design the collection
Define the question, required fields, consent workflow and minimum information needed. Consider participant safety, device loss and the conditions in which a field team works.
Validate at the source
Pilot the form and translation process. Check required fields, range rules, duplicate records and inconsistencies while a correction is still possible.
Preserve the evidence
Document transformations, quality flags and access decisions. Plan safe transfer, reconciliation and retention so later analysis can trace a record back to its source.
Illustrative use case
What this can look like in practice.
A programme receives paper forms and mobile submissions from several locations. A useful engagement would map both routes, pilot a common schema, reconcile duplicates and document how uncertain values are handled before a reporting dataset is produced.
An example of the work—not a client case study.Reference frameworks
Explore independent guidance that can inform the scope and evaluation criteria for this work. These links do not imply accreditation or endorsement.
Planning an engagement
What should we prepare?
Bring the decision you need to make, a description of the relevant systems or data, known constraints and your timeline. We can agree the appropriate access and confidentiality arrangements before any sensitive information is shared.
How do we define success?
We agree specific questions and useful outputs at the start. Outputs such as collection protocol and data dictionary are reviewed against the decisions you need to make. Limitations, dependencies and follow-up work remain visible in the handover.