Research operations

Baserow Research Database Setup

For research, benchmarking, and survey projects that need a clean Baserow structure before data starts arriving: linked tables, form fields, select options, validation notes, and integration checks.

Structured data audit portfolio graphic
  • Inputs. Research topics, benchmark dimensions, survey questions, current CSV/table shape, form needs, and reporting fields.
  • Output. Table schema, field types, linked records, form mapping, select options, integration checklist, and handoff notes.
  • Best fit. Small research teams, operations analysts, community surveys, benchmarking projects, and no-code data workflows.

What You Get

  • Research, benchmark, survey response, source, participant, and import-staging table plan.
  • Field types, single-select and multi-select options, required fields, and validation notes.
  • Form mapping for survey intake and repeatable data collection.
  • Existing table or CSV integration checklist.
  • Plain-English setup plan plus JSON output for reuse.

Proof

The public starter repo includes a dependency-free Python CLI, sample brief, Markdown and JSON plan output, and focused tests. It was validated with python3 -m unittest discover -s tests, python3 -m compileall -q ., and a sample generation run.