01
Coding systems evolve over time
Biobanks register specimens using the classifications, code systems and controlled terminologies that were valid when each sample was stored — often spanning LOINC, SNOMED CT, ICD and national releases.
( Biobanking )
Standards management for biobanks and blood banks
Keep specimen metadata aligned as coding systems, terminologies and clinical classifications evolve.
( How standards flow )
02
Metadata reflects the moment of storage
When specimens are collected on different dates, their associated metadata likely encodes values from different standard versions — creating semantic drift across the collection.
03
Central management enables upcoding
When code systems and terminologies are managed centrally, biobanks can update specimen metadata to current releases — supporting interoperability and FAIR-oriented metadata practices.
The standards drift problem
Specimens are stored today, but reused years later under newer standards. Metadata encoded at collection time may no longer align with current coding systems — making search, pooling and reuse harder than it should be.
What changes over time
- ICD-10, LOINC, SNOMED CT and national editions such as ICD-10-GM
- Alpha-ID-SE, local taxonomies and project-specific codelists
- Release frequency that can exceed once per year for active terminologies
How DataSDR helps
- Central catalog with version history and governed releases
- Mapping and review queues for metadata harmonization
- Release packages and API delivery to downstream systems
Outcome
Better discoverability, interoperability, provenance and reuse of specimen-associated metadata — with traceability as standards evolve.
Adapted from: Through the effective implementation of standards in the data acquisition, coding and management process, the quality and thereby confidence in data integrity is improved. Furthermore, standardization enables…
Terminology exploration
DataSDR supports multi-language version control across LOINC and SNOMED CT, helping biobanks with international networks maintain semantic interoperability. The screenshots below use the English edition.
Metadata quality for biobanking workflows
Biobanks depend on high-quality biological material and associated data. DataSDR focuses on the metadata layer: terminology versioning, provenance, mappings, auditability and reuse.
FAIR principles — Findable, Accessible, Interoperable and Reusable — provide a useful orientation for metadata design. DataSDR is designed to support those goals without claiming ISO 20387 or FAIR certification on your behalf.
Contact us
Please contact us if your organization has a data management challenge you need assistance with.