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EnaResearch
For research teams and organizations · by ENA Innovation

Collect research data,trace it from source to analysis.

EnaResearch is an end-to-end research data platform for hospitals, universities, research centers, labs, research groups, clinics and independent researchers. Collect data with its source, see its quality, combine it with clinical context, and get reproducible results from versioned datasets and pre-approved analyses. The AI assistant is optional.

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  • A separate environment per organization
  • No accounts for participants
  • Analysis plans approved before results
The problem

When research data is scattered, trust is lost

Wearables, phones and clinical records produce data every day. But if it is unclear which participant, which study and which permission a piece of data belongs to, it cannot be used in research.

One person, several records

The same participant is registered separately in different studies; spelling differences and missing identifiers hide duplicates.

Too much access, too little record

In shared spreadsheets and folders, nobody can trace who accessed which participant’s data.

Data without provenance

When device, unit, measurement time and transfer path are lost, data quality cannot be shown later.

Results you cannot reproduce

Months later, nobody knows which filters and which cut-off produced a hand-made dataset or analysis.

How it works

Five steps from study to analysis

The approval flow, participant access, data quality, clinical records, datasets and analyses are available today. The ingestion pipeline is live; the iOS and Android apps await store release and the Chileaf integration is in development.

  1. 1

    Plan the study and get it approved

    Define the protocol, team, metrics and eligibility criteria; the study starts once the organization owner approves it.

  2. 2

    Register and activate participants

    Register with matching within the organization and hand over the QR activation card; the participant sets a PIN without an account.

  3. 3In development

    Data comes in from devices

    Data from Apple Health, Health Connect and Chileaf arrives with its source and time. The ingestion pipeline is live; the apps await store release and Chileaf is in development.

  4. 4

    Check quality, add clinical context

    Suspicious values are flagged but never changed; hospital stays, clinical events and manual measurements are recorded with revision history.

  5. 5

    Build the dataset and analysis

    Export versioned datasets as CSV or for Excel, SPSS and R; the analysis plan is approved before any result. The AI assistant is optional.

Features

The research data lifecycle

Eight of nine features are available today. Wearable data stays marked “In development” until the apps are in the stores and the Chileaf integration is complete.

Who it is for

For research teams that collect and analyze data

EnaResearch is designed for hospitals, universities, research centers, labs, research groups, departments, clinics and independent researchers. An organization can also be a single researcher.

Hospitals and clinics

Clinical research units, clinics and research teams within hospitals.

Universities and labs

Faculties, institutes, departments, labs and research groups.

Research centers and independent researchers

Centers running multi-study data collection programs and researchers managing their own studies.

Security and privacy

Authorization lives on the server, not in the interface

Each organization runs in its own environment; every request is authorized on the server and sensitive actions are written to a chained audit trail.

Security

Per-organization environment

Each organization has its own application stack, database and database user; the organization code is never treated as authorization.

Server-side authorization

Identity, role, study team and action are checked on the server on every request; the default is deny.

Pseudonyms and keyed hashing

Study pseudonyms in research data; the person identifier is kept only as a keyed hash. Groups smaller than 5 are hidden in aggregates.

Chained audit trail

Changes, matching searches, sign-in attempts and dataset downloads in an HMAC-chained log.

Global use

For research teams in different countries

EnaResearch is designed for organizations in Türkiye, Germany, the United Kingdom, the Netherlands and Switzerland. Identity, language and hosting are not tied to a single country.

Identity not tied to a country

The organization chooses the person identifier: its own record number, NHS number, BSN, AHV/AVS, KVNR, Turkish ID number or another code it defines.

Hosting location by contract

Because each organization is deployed separately, the hosting region or country is agreed with the organization at setup.

Turkish and English

The interface is in Turkish and English today; name matching also understands special letters of European languages.

Designed with regulation in mind

Designed to support GDPR, UK GDPR, Swiss FADP and KVKK obligations; legal roles and basis remain with the organization.

Frequently asked questions

What is EnaResearch?
EnaResearch is an end-to-end research data platform built by ENA Innovation. It manages studies and their approval flow, participants and participant access without accounts; it collects data with its source, flags its quality, combines it with clinical records and produces versioned datasets and pre-approved statistical analyses. The AI assistant is optional.
Which features are available today?
Study management and approval, participant registration and matching, participant access without accounts, the ingestion pipeline and metric catalog, data quality, clinical records and manual entry, datasets and exports, variables and statistics, and the optional AI assistant are available. The iOS and Android apps are built and await store release; the Chileaf wearable integration is in development.
Is EnaResearch a medical device?
No. EnaResearch is not a medical device, a clinical decision-support system or a patient monitoring system, and it makes no claim about the clinical accuracy of measurements. Statistics and the AI assistant are for research, not for clinical decisions. It does not replace a hospital information system.
Does the AI assistant see participant data?
No. The assistant is off by default and receives only aggregated context: variable definitions, counts (small counts as “<5”) and test output. Participant rows, pseudonyms, names and birth dates are never sent. The assistant does not compute, and every request is logged.
Is EnaResearch compliant with GDPR, UK GDPR, the Swiss FADP and KVKK?
EnaResearch is designed to support your obligations under regulations such as GDPR, UK GDPR, the Swiss FADP and KVKK: a separate environment per organization, server-side authorization, pseudonyms, hashed identifiers, small-group suppression and an audit trail. Compliance depends on the organization’s own processes; the legal basis, consent, ethics approval and controller and processor roles remain the organization’s responsibility.
Do participants need an account?
No. Participants start with a 6-character code and an activation card from the researcher and set a PIN during activation. Organization users sign in through the Logto identity platform.
Where is our data hosted?
A separate environment is set up for each organization. The hosting region or country is agreed with the organization during setup and contracting. The measurement database is backed up encrypted: a weekly full and daily incremental backup, kept for 35 days.

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.

Request a demo 0850 308 45 91

A separate deployment for every organization · Turkish and English