For Researchers
October 8, 2025

The Three Types of Data You Can Collect with Alethios — and Why They Matter

Alethios enables researchers to collect three key types of participant data — reported, generated, and biomarker — creating a complete, connected view of health. By combining self-reported experiences, real-time device data, and biological insights, studies become more accurate, human-centered, and actionable.

Data is the backbone of every study. The type, quality, and completeness of that data determine whether your findings are credible, reproducible, and actionable.

At Alethios, we’ve built our platform to capture a full spectrum of participant data — from self-reported information to device-generated metrics to biomarker samples collected through at-home test kits. Together, these three data types create a more complete, accurate, and dynamic picture of participant health.

That completeness isn’t just convenient — it’s essential for modern research.

When Reported Data Tells the Story

Reported data comes directly from participants through surveys, diaries, or questionnaires. It’s the most human kind of data — giving researchers context, perception, and experience that no sensor or test can capture.

Reported data is particularly valuable when:

Open-response questions also allow participants to share valuable feedback researchers might not have anticipated — for example, describing unexpected side effects, lifestyle barriers, or emotional responses that structured questions could easily miss.

When gathered thoughtfully, reported data gives researchers insight into the why behind the numbers — connecting physiology to perception, and data points to real lives.

When Generated Data Fills in the Gaps

Generated data comes from wearable devices and sensors — continuously tracking metrics like activity, sleep, heart rate, or other physiological signals.

This type of data is invaluable when:

In Alethios, generated data streams integrate seamlessly with self-reported inputs — giving researchers both the subjective experience and the objective reality.

When Biomarker Data Adds Depth

Biomarker data comes from at-home collection kits, allowing participants to submit samples like saliva, blood, or other biological materials for lab analysis.

This data is essential when:

By combining biomarkers with reported and generated data, Alethios enables studies that are both deeply human and scientifically rigorous.

The Power of Combining All Three

Each data type is valuable on its own — but when combined, they create a multi-dimensional view of health that’s richer, more accurate, and more actionable than any single source.

Alethios brings these data streams together in one secure, flexible platform, enabling researchers to collect, monitor, and analyze data holistically.

No two studies are identical — and neither are their data needs. That’s why Alethios supports reported, generated, and biomarker data, giving researchers the freedom to choose the mix that best fits their study goals.

Together, they power research that’s faster, smarter, and more human — the kind of data-driven insight that modern decentralized trials demand. That’s exactly what Alethios was built to deliver. To see an overview of our offerings, visit our data types collected page. This is not a comprehensive list, if you are interested in further offerings, please contact us.

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