Remote Data Collection Platform

Certified, device-agnostic infrastructure for digital biomarker development and data collection.

What the RDCP is

The Remote Data Collection Platform (RDCP) is TNO’s certified, fully AVG and GDPR compliant, device-agnostic infrastructure for collecting, managing, and combining data from wearables, smartphone sensors, and patient-reported outcomes. Built to support digital biomarker research, it allows hospitals, research institutions, companies, and digital health innovators to run remote and hybrid studies without developing their own technical systems.

The RDCP can be used on its own or combined with the TNO Digital Biomarker Lab’s scientific and methodological services.

The challenge: collecting the right data, reliably

Digital biomarker development depends on robust, high-quality sensor data. Yet teams often face the same barriers:

  • Integrating multiple wearables and sensors securely and consistently
  • Working around platforms that only support a single device ecosystem
  • Finding flexible study infrastructure for short pilots or multi-partner research
  • Turning raw sensor streams into scientifically sound digital biomarkers

Organisations need a certified, flexible, and scientifically credible platform that supports digital biomarker discovery, development, and validation.

Our solution: a certified platform built for science and scale

The RDCP provides secure, reliable, and scalable infrastructure for digital biomarker work. It is designed for clinical and research environments and supports studies ranging from small feasibility pilots to large Bring-Your-Own-Device deployments.

The RDCP enables teams to:

  • Collect high-quality, multi-source sensor data without building new infrastructure
  • Integrate wearables, PROMs, and app-based measurements in a secure, certified environment
  • Strengthen participant engagement and data completeness
  • Use validated biomarkers and standardised pipelines for credible results
  • Run studies cost-efficiently with flexible, modular components

Why choose TNO’s remote data collection platform?

  • End-to-end expertise: infrastructure combined with scientific and methodological support
  • Independent and trusted: objective, rigorous, and recognised research partner
  • Certified platform: ISO- and NEN-certified for clinical-grade data handling
  • Validated knowledge base: library of digital biomarkers and standardised pipelines
  • Strong ecosystem: collaborations with clinical centres, MedTech developers, and industry partners
  • Data transparency: raw data access, open biomarker pipelines, and validated endpoints, enabling reproducible research and publication-suitable results.

Core strengths

1. Device-agnostic and integrative

  • Flexible integrations with wearables and health applications
  • Connects medical-grade, proprietary, and customer-specific devices
  • Combines sensor, wearable, and patient-reported outcomes in one secure environment

2. Certified and trustworthy

  • ISO27001, NEN7510 and ISO13485 certified
  • Suitable for sensitive health data and clinical research
  • Backed by TNO’s independent, scientifically rigorous approach
  • Hosted in the European Economic Area

3. Flexible, modular, and scalable

  • Suitable for pilots, research studies, and multi-centre implementations
  • Pay-for-use model — no long-term subscriptions
  • Configurable modules that adapt to study needs

4. Support for study teams and participants

  • Study portal for real-time data quality and participant monitoring
  • Participant app with device pairing, reminders, and personal data visualisation
  • PROMs and questionnaire modules integrated by design

5. Built-in scientific foundation

  • Access to TNO’s digital biomarker library and validated pipelines
  • Ability to analyse and reuse high-frequency raw data
  • Seamless integration with DB-Lab services for analysis and validation

Use cases

Personalized Lifestyle Intervention with Digital Support

SLIMMER: A combined personalized lifestyle intervention incorporating physical activity, nutrition, and behaviour maintenance, with guidance provided by physiotherapists, dietitians, and lifestyle coaches. The predecessor to RDCP was used to collect participants' responses to questionnaires, allow them to set goals, provide feedback and advice, and gather data from their wearable devices. For healthcare professionals, a dashboard was created to monitor the participants' progress.

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From Workplace Exposures to Night Shifts: Insights into Health Impacts

One study within the EPHOR project examined how the working-life exposome affects respiratory health, while a second study investigated the impact of night shift work on health. Both studies used the predecessor to RDCP to allow participants to complete personalized morning and evening questionnaires at times of their choosing.

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Predicting Emotional States using Wearables and Questionnaires

The CAMSTAM study aimed to develop models for predicting emotional states using various data sources (e.g., physiological signals via wearable sensors, questionnaires) over time. It focused on creating both individual-specific and general prediction models to improve accuracy in measuring emotions. The predecessor of RDCP was used to gather questionnaire and wearable data.

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