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March 31, 20260 citationsOpen Access

A FAIR and federated repository prototype for multimodal Home-Cage Monitoring biomedical data

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DHDamien HuzardABAntoine BluchetKDKévin Dunglas

Key Points

  • The aim is to create a federated repository model that enhances the reuse of home-cage monitoring data while complying with governance policies.
  • Developed a federated repository architecture following FAIR principles.
  • Implemented a decoupled design separating data storage from control mechanisms.
  • Utilized standardized metadata harvesting through DCAT-compliant catalog endpoints.
  • Introduced Zero-Copy Federation, allowing raw data control to remain with originating institutions.
  • Enabled scalable data ingestion and improved data discoverability across sites.
  • Enhanced semantic interoperability for multimodal biomedical datasets.

Abstract

Home-Cage Monitoring (HCM) produces vast, multimodal datasets whose reuse is critically limited by data fragmentation, proprietary formats, and inconsistent metadata. To address this reproducibility bottleneck while respecting institutional data governance, we present a working prototype of a novel, decoupled, federated repository architecture aligned with the FAIR principles. The core solution separates a local Data Plane (Solid Pods), responsible for secure storage and storage-level access control (WAC/ACP), from a Control Plane (Node Control Service via API Platform), which manages validation (MNMS and SHACL shapes) and metadata exposure. Federation is achieved through DCAT-compliant catalogue endpoints that enable Zero-Copy Federation: only standardized metadata is harvested by a central portal for global discovery, ensuring raw data always remains under the originating institution’s control. This architecture provides a scalable framework for validated data ingestion, semantic interoperability, and cross-site search, transforming multimodal HCM data into a reusable community asset.

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Cite This Study

Huzard et al. (2026) studied this question.

synapsesocial.com/papers/69cb6589e6a8c024954b98c5https://doi.org/10.5281/zenodo.19221771
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