Assign an owner to every record

Decide which system owns sample identity, plate worklist, raw instrument file, analysis settings, calculated result, disposition, report, and downstream status. Duplicating authority creates reconciliation problems.

An analysis service should return the scientific results together with the records needed to understand them: fingerprints for the source data file and analysis configuration, method and settings versions, software version, units, flags, exclusions, and report identifiers.

Document the data exchanged between systems

Use stable field names and identifiers, explicit units and time zones, defined statuses, format versions, and machine-readable errors. Keep calculated observations separate from human review decisions.

Store the exact data sent and the acknowledgement received. A unique request key prevents duplicate results when delivery is retried after a timeout.

AreaWhat to define
IdentityRun, sample, method, plate, and result identifiers
VersioningData format, method, settings, and software versions
Source traceabilityFingerprints for the source data file and analysis configuration; exclusions and reasons
DeliveryDuplicate prevention, retries, acknowledgement, and reconciliation
Linked outputsReport location, checksum, and structured-result link

Automated delivery needs more than an export format

CSV and JSON exports can establish the data contract and support reviewed manual workflows. Automated integration also needs secure access, reliable delivery, monitoring, failure handling, change control, and validation appropriate to its intended use.

Define and test those controls for the actual LIMS, network, identifiers, operating procedures, and assay result flow before relying on automatic delivery.

Frequently asked questions

Does Provenarium replace a LIMS?

No. Provenarium is focused on assay analysis and the records behind each result. A LIMS may remain the official source for samples, worklists, inventory, and laboratory status.

What should a first integration deliver?

Start with one clearly defined result flow. Agree on record ownership, identifiers, fields, units, delivery confirmation, duplicate handling, and how the systems will identify and correct missing or mismatched records.

Primary references