A cohort that doesn't exist anywhere else.
VitaLog users opt into anonymized aggregate research because they want the harm-reduction evidence base to grow. If you're running an IRB-approved study on biomarker trajectories, protocol adherence, or supplement-driven outcomes, and you can't get the cohort from traditional sources, let's talk.
Five-step process from inquiry to data.
Initial inquiry
Email research@vitalog.io with PI name, institution, study summary (≤500 words), data categories you'd need, and IRB status. We respond within 5 business days.
IRB & ethics review
You provide IRB approval letter or ethics-board equivalent. We review proposed study design against our Research Data Access Policy. Most studies pass; the ones that don't usually want individual-level data (we don't share that, ever).
Data Access Agreement
Standard agreement covering: aggregate-only access, k-anonymity ≥ 5, no re-identification attempts, attribution requirements, publication embargo (none, we want results published), and breach notification.
Custom aggregate query
We run the agreed query inside our infrastructure and deliver the resulting aggregates as CSV / Parquet. No raw rows leave our servers. If your design requires longitudinal slices, we provide them at the cohort level only.
Publication & iteration
You publish (preprint or peer-reviewed). We link the work back to the user community via the public Research page. Follow-up queries to refine analysis are free for the lifetime of the study.
Cost
Free for IRB-approved academic studies. We cover query infrastructure costs out of donations and the research-program participation lift. Industry-funded studies pay a flat infrastructure fee, same access rules, no preferential terms.
Available data categories.
All categories are aggregate-only and require k ≥ 5 to surface. Single-user data is never released.
Compound & protocol logs
Drug class, ester, dose, frequency, cycle length, ancillary use, off-label patterns. Anonymized at the user level; individual cycles are clustered into cohorts before release.
Bloodwork panels
Lab-result distributions over time, draw timing relative to dose, reference-range deltas. Per-user trajectories available only at cohort level (≥ 5 users with similar protocol).
Training & recovery
Volume / intensity progression, body-region distribution, recovery markers (sleep, RHR if logged), correlation against protocol phase.
Self-reported outcomes
Mood, libido, energy, sleep quality, perceived side-effect frequency. Always paired with statistical-confidence indicators.
Demographics (cohort-level)
Age band, biological sex, training experience, prior protocol experience. Never combined in a way that violates k-anonymity.
What we won't share
Individual-level data. Free-text journal entries. Encrypted progress photos. Email addresses. IP addresses. Geographic location finer than country.
Background documents.
Research vision & roadmap →
Public-facing description of the studies we want to enable. Useful context before pitching your own.
Security & Compliance →
Sub-processors, encryption, GDPR Art. 9 / Art. 28 posture. Useful for IRB submissions.
Privacy Policy §3, Research data →
How users opt in, what they consent to, and how their data is anonymized before any aggregate query.
Pitch us a study.
If your design needs a cohort that traditional EHRs can't surface, TRT outcomes, GLP-1 long-term adherence, peptide harm-reduction patterns, athletic-protocol biomarker trajectories, we want to enable it.