A data management infrastructure for the integration of imaging and omics data in life sciences.

ABSTRACT:

Background

As technical developments in omics and biomedical imaging increase the throughput of data generation in life sciences, the need for information systems capable of managing heterogeneous digital assets is increasing. In particular, systems supporting the findability, accessibility, interoperability, and reusability (FAIR) principles of scientific data management.

Results

We propose a Service Oriented Architecture approach for integrated management and analysis of multi-omics and biomedical imaging data. Our architecture introduces an image management system into a FAIR-supporting, web-based platform for omics data management. Interoperable metadata models and middleware components implement the required data management operations. The resulting architecture allows

SUBMITTER: Kuhn Cuellar L 

PROVIDER: S-EPMC8822871 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature