The research
Scientific field, completed studies or experimental programs and acquisition period. Include the material families, biological systems or methods represented.
Research data / For laboratories and data holders
Could your research data
support a new model?
Existing experimental collections may be relevant to teams developing scientific AI. Describe the data already held by your organization, the records that connect it and who can discuss a licence.
Describe an existing collection
The value is in
the connected experiment.
An archive is easier to assess when its measurements can be understood in context. Start with a description of what exists today.
The scale
Approximate volume, number of samples or experiments, measurement types and file formats. Counts of independent records help explain what a large archive contains.
The connections
How raw files connect to preparation, methods, measurements, labels and results. Describe the identifiers that connect records across instruments or studies.
The experimental range
Controls, replicates, unsuccessful runs and relevant variations. Describe exclusions and incomplete records rather than assuming every series is complete.
The supporting records
Data dictionaries, method descriptions, acquisition settings and other existing documentation. Identify any preparation or explanation that a review would require.
The organization
Who holds the collection and who coordinates licensing discussions. Equipment ownership and permission to license its stored research data are separate questions.
Materials and life sciences
Different collections.
The same need for context.
Illustrative requirement
Materials collection
Process history + measurements + results
A completed experimental program may hold synthesis records, characterization files and property measurements connected by sample identifiers. Describe those relationships, approximate scope and any gaps.
Illustrative requirement
Life science collection
Study structure + measurements + labels
A completed research study may hold molecular outputs or images alongside preparation methods, annotations and experimental outcomes. Start with aggregate scope and the available relationships.
How the discussion develops
A summary first.
A defined review next.
A description does not commit you to share files or grant a licence. Terms are specific to the transaction.
Initial fit
SIB reviews the description against an acquisition requirement and identifies the technical questions that need clarification.
Focused evaluation
Where appropriate, discuss the information or bounded sample needed to assess suitability. The purpose, recipient and access arrangements are settled before anything moves.
Licence scope
The discussion can cover permitted use, the included records and the holder’s interests in the collection. Do not assume the same terms apply to every dataset.
Preparation and delivery
Agree any preparation work, acceptance criteria and transfer arrangements as part of the transaction. File volume alone does not define the scope.
Please send a description, not the data.
Leave patient records, research images and confidential dataset files out of the initial website enquiry. Any later sample review and transfer are arranged separately.
Describe the research
data you already have.
Tell us the field, approximate scope, methods and connected records. We can identify the next questions together.