Research

The whole study, from one dashboard.

Health Habit Hub gives you the tools to design studies, guide cohorts and analyse data in a privacy-compliant way. The technical infrastructure runs in the background so you can focus on the research question.

One dashboard for everything: configure studies and questionnaires, maintain the shared knowledge base, track participant progress and export data.

One dashboard for everything: configure studies and questionnaires, maintain the shared knowledge base, track participant progress and export data.

Why this is a dependable research tool

One considered chain, from phone to analysis.

Every building block has a clear job, and all of it runs on its own controlled infrastructure at TU Dresden. That means reproducible results, traceable data paths, and no dependence on an outside vendor that changes the rules tomorrow.

TU Dresden Traefik, TLS
Study setupAdmin portal
AppiOS, Android, Web
LoginKeycloak SSO
APINode service
DatabaseMongoDB, Neo4j
RecommendRecommender
1

Study setup Admin portal

It all starts in the admin portal: you create your study, define the habits and the consent form, and get a study code for your participants.

2

App iOS, Android, Web

Participants download the app and enter your study code to join. The same codebase runs on iOS, Android and the browser, so no one is excluded and your sample is not skewed by platform.

3

Login Keycloak SSO

Sign-in and digital consent run through Keycloak. Participants, researchers and admins are cleanly separated, and no one sees more data than their role allows. This is the basis for a clean ethics approval.

4

API Node service

Only after consent does a central service receive the data, validate it and enforce your study logic. Your study rules live in a single place instead of being scattered across many devices.

5

Database MongoDB, Neo4j

MongoDB stores the entries, Neo4j the relationship graph between habits. That split makes both classic statistics and network analysis possible, with no compromise.

6

Recommend Recommender

The recommender suggests fitting habits to participants. For you as a researcher it is a controllable intervention whose effect you can measure in the same system.

At the end of the chain, everything runs behind a reverse proxy with TLS on a TU Dresden server. The data never leaves university infrastructure, and you stay independent of commercial providers.

What the portal does

Everything a study needs.

Studies and cohorts

Create studies, split participants into cohorts and steer interventions, with no detours.

Validated questionnaires

Established instruments like the Self-Report Habit Index, collected automatically across the study.

Knowledge base and recommendations

A shared knowledge base feeds the recommendations participants receive in the app.

Clean data export

Structured exports for your analysis in R, Python or SPSS, with no direct database access.

Real-time monitoring

Keep operational health and metrics in view via Grafana while the study runs.

Roles and permissions

A clean split between admin, researchers and participants via Keycloak, secured with single sign-on.

Working together

Want to run a study?

Whether it is your own study, a collaboration, or just a question, send us a few lines and we will get back to you.

Opens your email app with a message prepared for our team.