Data Collection Tool

The tool enables structured data collection from multiple sources, including online forms, CSV imports, and API feeds. It supports field-level validation, deduplication, timestamping, and audit trails to ensure data quality and traceability.
Inputs are defined as typed fields (text, number, date, boolean) with required and optional flags; optional advanced features include conditional logic, custom validation rules, and data normalization. Outputs are exposed as structured datasets, with per-record values, summary metrics, and exports to CSV, JSON, or spreadsheet-ready formats.
Data quality is maintained through per-field validation, cross-field checks, and deduplication using composite keys; schema-driven transformations ensure repeatable ingestion across sources. The system handles missing or invalid data via rules-based rejection or correction and logs processing events for auditability. Industry standards such as ISO date formats and locale-aware number formatting guide outputs and exports; privacy controls and audit trails support governance requirements. Assumptions include stable field mappings or a mapping step; exclusions cover front-end UI rendering, proprietary integrations outside core ingestion, and real-time streaming beyond scheduled ingestion.