From data collection to analysis, on one platform
EnaResearch works in five layers: it collects raw data with its source; standardizes it and flags its quality; adds clinical context from hospital stays, clinical events and manual measurements; produces versioned datasets, variables and pre-approved analyses; and an optional AI assistant interprets results but never computes. Eight of nine features are available today: study management, participant registration and matching, participant access without accounts, data quality, research datasets, clinical records and manual entry, variables and statistics, and the AI assistant. Wearable and health data is marked “In development”: the ingestion pipeline is live, the iOS and Android apps await store release and the Chileaf integration is in development.
Study management
Approved lifecycle, PI and co-investigators, change requests, metric selection and dashboards.
Participant registration & matching
Matching by person identifier, study pseudonyms, participation statuses, withdrawal choices and the participant panel.
Participant access without accounts
6-character participant code, single-use activation card, PIN and the organization’s participant web area.
Wearables & health data
In developmentA live ingestion pipeline and catalog for Apple Health and Health Connect; apps await store release, Chileaf in development.
Standardization & data quality
Versioned metric catalog, validation, de-duplication, quality flags, completeness and sync status.
Research datasets & exports
Versioned definitions, event windows, pseudonymized CSV, Excel, SPSS and R output, a manifest and audit.
Clinical records & manual entry
Hospital stays, clinical events, manual measurements and eligibility, with revision history and CSV/FHIR R4 import.
Variables & statistics
Versioned variables, missing values with a reason, and statistics from analysis plans approved before results.
AI research assistant
Optional, off-by-default assistant for test suggestions, result interpretation and report drafts; it never computes.
Let's talk about your research data
We'll show what EnaResearch does today, share the roadmap openly and look at your studies and data sources together.
A separate deployment for every organization · Turkish and English