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MIABIS (Minimum Information About BIobank data Sharing)

a widely used standard model for biobanks, which is particularly relevant for software such as BioARCHIVE and its interoperability with other systems.

By integrating MIABIS into BioARCHIVE you can:

  • Describe sample collections in a standardized way
  • Enable interoperability with other biobanks (e.g. TMF, BBMRI)
  • Deliver exports for research projects / cooperation partners
  • Creating compatibility with EU-wide biobank directories

🔷 What is MIABIS?

MIABIS stands for:
Minimum Information About BIobank data Sharing

It is a data standard that was developed by BBMRI-ERIC (Biobanking and BioMolecular Resources Research Infrastructure – European Research Infrastructure Consortium) to describe biobank and sample metadata in a standardized way. The aim is to standardize, exchange and reuse biobank data within Europe and internationally.


Main objectives of MIABIS

  • Standardization of information on biobanks, samples and donor data
  • Facilitating the search and exchange of sample material
  • Interoperability between different systems and countries
  • Support of FAIR principles: Findable, Accessible, Interoperable, Reusable

MIABIS components (modules)

MIABIS consists of several modules that provide structured information on the following areas:

1. biobank module

  • Name of the biobank
  • Institution
  • Location
  • Contact
  • Legal status (public/private)
  • Admission requirements

2. collection module (sample collections)

  • Sample type (e.g. blood, tissue, DNA)
  • Collection method
  • Processing & storage
  • Disease reference
  • Access restrictions

3rd sample module (single sample)optional, for fine granular recording

  • Aliquot information
  • Storage conditions
  • Barcode / ID
  • Material type

4th donor module

  • Age, gender
  • State of health
  • Ethnic origin (optional, data protection compliant)
  • Consent (type, scope, validity)

Technical data model

MIABIS is formally described in JSON or OWL (Web Ontology Language) and follows a relational model that can be easily integrated into existing LIMS or biobank software.


Official sources

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