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Unified Multimodal Datastore

Store, organize and retrieve complex biomedical data

Name: Genomcore UMD — Unified Multimodal Datastore
Author: Genomcore

Genomcore UMD is a high-performance datastore designed to manage and interlink diverse biomedical data types—from genomics and clinical records to time-series and imaging—offering unmatched interoperability, observability, and structure.

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One datastore, all your biomedical data

UMD provides fine-grained, structured storage for the diverse types of data that define precision medicine. Whether it's genomics, time-series, or clinical values, each dataset is managed in a format ready for real-world healthcare use.

The Genomics datastore supports high performance storage and retrieval of individual variant calls for germline, somatic and trio experiments as well as custom annotations.

The biovalues datastore allows efficient storage and retrieval of metabolic biomarkers, supporting on-the-fly normalization using LOINC codes and associated reference thresholds.

The image datastore allows metadata extraction from DICOM files and their integration with other entities in the UMD.

The metrics datastore is designed to store time-series from activity monitors and biosensors enabling ranged queries with automatic aggregation functions.

Clinical Records and patient-owned datasets can be customized with UMD Records system, supporting structured sections and ontology terms.

Model your biomedical data with structured records

From ready-to-use records to fully custom templates, UMD gives you complete control over how you structure and relate biomedical information—tailored to your workflows, compliant by design.

Document

Store general files and attach relevant metadata

Form

Collect structured inputs from patients or end-users

Image

Manage medical imaging files and associated metadata

Insight

Display structured results and interpretations

Ontology Term

Use standardized terminology codes

Patient

Link clinical data to individual profiles securely

Study

Group multimodal data into project-specific records

Task

Track outputs and parameters from analysis applications

Design your own data templates

Define your own record types with tailored fields, behaviors, and relationships using our visual templating system.

Reusable templates

Use the same schema across multiple projects or workflows

Workflow adaptability

Define attributes and logic that fit your real-life processes

Semantic linking

Connect records through ontology-based relationships

External compatibility

Native support for HL7, FHIR, OMOP, and other standards

Store, connect and scale without friction

UMD simplifies how biomedical data is handled at scale, offering native support for distributed file systems, seamless integrations, and real-time interoperability with other tools and platforms.

Distributed file system

Upload and manage large binary files (BLOBs) with embedded viewers, restricted sharing, and unified access through an emulated file browser.

Importers, parsers, and connectors

Instantly find experiments with shared genomic variants, speeding up analysis, and uncovering key insights faster.

Interoperability by design

UMD is fully integrated with the Genomcore ecosystem—connect your datasets with analytical apps, reporting modules, or external platforms effortlessly.