Traceable collection
Keep source URLs or identifiers and collection dates with records where available.
Solution
Build a dataset you can inspect and reproduce
For researchers who need records from several permitted sources, this solution defines extraction, normalization, provenance, and a handoff format. The emphasis is on a documented method and visible limitations.
01 / Scope
What Research Data covers
Reproducible rules
Document field definitions, transformations, and inclusion criteria.
Quality sampling
Check a sample of records and report missing or ambiguous values.
02 / Method
A clear path through the work.
- 01
Define the question
Agree on population, fields, timeframe, and evidence standard.
- 02
Collect a pilot
Process a representative sample and inspect errors with the research team.
- 03
Package the data
Deliver the agreed export with method and caveats.
03 / Outputs
Know what your project includes.
- Data dictionary
- Pilot dataset with provenance
- Collection method and quality report
Specific scope, compatibility, schedule, and commercial terms are confirmed in a project agreement.
04 / Questions
A few useful details.
Can you guarantee a complete dataset?
Completeness depends on source coverage and access; limitations are documented.
Can we publish the data?
Reuse and publication rights depend on source terms and the agreed scope.
Will you perform the analysis too?
Analysis can be added as a separate research deliverable.
Your next useful answer
Bring us your business question.
We’ll connect your information requirements to the right Nakkeb product, service, or implementation scope.