Fig. 1
From: FAIR Data Cube, a FAIR data infrastructure for integrated multi-omics data analysis

The concept of the FDCube from a dataset owner and dataset user (researcher) perspective. The dataset owner (right upper corner), for instance an -omics service provider, can (1) acquire the data and (2) describe the data in a standardized FAIR metadata schema. The standarized -omics data can then be (3) deposited in any appropriate resource/database with the links to that data included in the metadata schema. Next, the metadata schema can be (4) transformed into RDF to be added to a metadata registry, such as a FDP. The standardized -omics data formats can be obtained from external -omics data repositories, like MetaboLights (metabolomics), PRIDE (proteomics), and others. On the other hand, researchers (left lower corner) can perform semantic searches on the (publicly) shared metadata registries by querying the (multi-)omics studies published in them, either or not with the help of external knowledge bases. Alternatively, they can analyze access-protected data by (1) sending a containerized computation request to the data, which will then be send to the private data storage and computing environment through Vantage6. This will then (2) send the aggregated results back to the researcher. These aggregated results prevent (re)identification of individual samples