FAIRDOM approach for semantic interoperability of systems biology data and models

Motivation: The ability to collect and interlink heterogeneous data and model collections is essential in systems biology. Effec-tive data exchange and comparison requires sufficient data anno-tation. This is particularly apparent in systems biology, where data heterogeneity means that multiple community metadata stand-ards are required for the annotation of a whole investigation, in-cluding data, models and protocols. Results: FAIRDOM (http://fair-dom.org/) is an initiative to enable the systems biology community to produce and publish FAIR Data, Operating procedures and Models. It allows research as-sets to be aggregated, interlinked and shared in the context of the systems biology investigations that produced them. Here we pre-sent the FAIRDOM strategy in the context of semantic data inte-gration, and how it supports the whole life cycle of data collection, annotation, sharing and reuse of systems biology data and re-sources.