REDCap Data Import

The tool enables researchers and data managers to prepare REDCap imports by uploading a data file and selecting a target project. It validates mappings, enforces field requirements, and converts values to REDCap-compatible formats. It produces a ready-to-import payload and a detailed error report to guide corrections.
Conceptually, the process relies on project metadata to constrain data types, allowed values, and required fields, while a mapping layer translates source columns to REDCap fields. If enabled, automatic suggestions propose mappings based on name similarity and type compatibility. The outcome is a clean, audit-friendly import package with per-record results and a summary of successes and failures.
Users benefit from reduced manual edits, fewer data-quality issues, and faster project updates. The tool is valuable for initial data loads, quarterly updates, or delta imports where records must be synchronized with REDCap datasets. It supports data managers, researchers, and IT staff who need reliable, repeatable import workflows without custom scripting. The unique value lies in metadata-driven validation, detailed error reporting, and optional API integration hooks for automated pipelines. Core features include field mapping, type normalization, date handling, error stratification, and export-ready payloads. Use cases span clinical studies, epidemiology projects, and program evaluations where data integrity is critical.