Records buyers look for
- Experiment protocols and methods
- Results, including negative and failed runs
- Electronic lab notebooks
- Test reports and certificates
- Instrument data linked to samples
Why AI buyers want them
Published papers show successes. Lab records show the full process, including what didn’t work, which is rare and useful for scientific AI.
What to check first
- Client-sponsored studies may belong to the client.
- Human-subject data needs consent and de-identification.
- Accreditation and confidentiality terms may limit reuse.
You’re likely a fit if
- You own the research or can get sponsor consent
- Methods and results are recorded consistently
- Personal data can be excluded
Frequently asked questions
Are failed experiments valuable?
Yes. Negative results are rarely published, so complete records of what didn’t work can be distinctive.