Data category
Research & Experimental Data
Experiment parameters, controlled variables and results — including the experiments that failed.
Why it matters for AI
Measured, judged, resolved.
Published research shows what worked. Internal research records also show what did not — negative results, abandoned conditions, near misses. That fuller picture is rare and especially useful for models that plan experiments.
Typical data
- Experiment parameters
- Controlled variables
- Observations
- Measurements
- Successful experiments
- Failed experiments
Representative workflow
Illustrative
- 01Hypothesis
- 02Experiment design
- 03Controlled variables
- 04Measurements
- 05Observation
- 06Result — success or failure
Who typically holds it
- Industrial R&D organizations
- Non-clinical research organizations
- Contract research labs
- Engineering research groups
Potential AI applications
- Scientific AI and research agents
- Experiment planning models
- Reinforcement learning environments
- Scientific reasoning benchmarks
Trust & compliance
Data licensing without losing control.
Your data stays yours until you decide otherwise. We assess before anything is shared, and we treat rights and privacy as conditions of a transaction — not afterthoughts.
No raw data for an initial evaluation
The first assessment uses descriptions, schemas and counts — not your records.
Nothing moves without authorization
Data is not transferred to buyers without your explicit authorization and an agreed license.
Ownership is not the same as licensing rights
Customer contracts, consents and confidentiality terms can limit what may be licensed, even for data you hold.
Specialist review where it is needed
We work with data owners and appropriate legal and compliance specialists to determine what can be licensed.
Datasets may require
- Contractual review
- Customer-consent review
- Anonymization
- De-identification
- Removal of restricted information
- Export-control review
- Cross-border data review
Removing names alone does not guarantee anonymization. Combinations of dates, locations, product codes or rare events can re-identify people or customers, so de-identification is planned dataset by dataset.
DataNexx does not provide legal advice. Data licensing transactions may require independent legal, privacy, regulatory, or export-control review.
Own valuable data?
Find out whether your historical data could qualify for AI licensing.
A confidential, no-raw-data assessment of your organization's laboratory or industrial records.
Building AI?
Tell us the proprietary data your model needs.
Specify the domain, structure, modalities and rights. We source from organizations that produce it.