Third cohort enrolled
Forty more volunteers joined, bringing the open dataset to just over three hundred people.
Example data Longevity Research Neglectedness 6/10 · Somewhat overlooked (example)
Example: Aging Biomarker Open Lab
A small lab publishing open datasets on markers of biological aging.
The story
The lab began when two researchers grew tired of asking for access to datasets that never arrived. They decided that everything they measured would be published the day it was checked.
Today they run three volunteer cohorts and post each batch of results with full methods, so other teams can reuse or challenge it.
The team
- Dr. Mira Okafor · Lead researcher
- Tomas Lindqvist · Data engineer
- Hana Whitfield · Volunteer coordinator
Example team (fictional people, for illustration only).
Efficiency rating
A Source: Example data - not sourced, as of
94¢ of every $1 reaches the work
- Reaches the work: 94¢
- Overhead: 4¢
- Advertising: 1¢
- Executive pay: 1¢
- Reaches the work: 94¢
- Overhead: 4¢
- Advertising: 1¢
- Executive pay: 1¢
Show data table
| Category | Cents per $1 |
|---|---|
| Reaches the work | 94 |
| Overhead | 4 |
| Advertising | 1 |
| Executive pay | 1 |
How the work budget is spent (example data)
- Field work
- 55%
- Equipment and supplies
- 20%
- Local staff
- 15%
- Reporting and sharing
- 10%
- Funding goal
- $500,000
- Raised
- $210,000
- Location
- Example City
About this project
A fictional two-person lab that measures aging biomarkers in volunteer cohorts and releases every dataset publicly. It illustrates how modest grants can fund reproducible, shareable work.
Impact / Why it matters
Open aging data lets many researchers build on the same evidence instead of repeating work in private.
Aging is the biggest risk factor for most serious illnesses, yet the measurements used to track it are often locked inside single labs. When a dataset is published openly, any researcher can check it, combine it with their own, and ask questions the original team never thought of.
Biomarkers of biological aging could one day show whether an intervention is working in months rather than decades. That only happens if the markers are well tested, and testing them takes large, shared, carefully documented datasets.
A small open lab will not solve aging on its own. What it can do is make the foundation more trustworthy, so that later, larger studies start from firmer ground.
Project updates
Example updates: fictional news for illustration. Newest first.
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Methods paper posted
The sampling and storage protocol is now public so other labs can copy it.
Example data. This project and its figures are fictional placeholders. See the methodology for how real ratings will be sourced.