Scientific and research data
Experimental results, instrument outputs, lab notebooks, protocols, assay data, journals and research corpora.
- Measured in
- Experiments, records or files, by field and method.
- Who buys
- Scientific AI companies, drug discovery and materials startups, and labs.
- Where it comes from
- Universities, contract research organizations, biotech and materials companies and society publishers.
- Rights to clear
- Funder terms, university technology transfer policies, collaboration agreements and participant consent.
- Privacy
- Human subjects data de-identified under HIPAA or the Common Rule as applicable.
- Pricing signal
- Priced deal by deal; negative and proprietary results command a premium.
- Scientific AI needs real experimental data, including failed experiments that never get published.
- Lab notebooks, instrument data and negative results are scarce and valuable to buyers.
- Research funded by grants may carry data sharing or commercialization rules.
- Human subjects data needs de-identification and must fit the consent participants gave.
What scientific buyers want
Published papers report what worked. Models that propose experiments also need what did not work, with the conditions recorded. Lab notebooks, instrument logs and assay results are the raw material.
Rights to check
University research is often governed by technology transfer offices and funder rules. Collaboration agreements may give partners rights in results. Human subjects data must fit the consent that participants gave and be de-identified.
Questions
Can a university license research data commercially?
Often, through its technology transfer office, subject to funder terms and participant consent.
Related guides
Related data types
Sources
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