In today’s biopharma landscape, researchers grapple with unprecedented volumes of multi-modal omics data —ranging from genomics and proteomics to metabolomics and beyond. This wealth of information holds enormous potential to accelerate breakthroughs in drug discovery and precision medicine. Yet, the sheer complexity, fragmented nature, and unique attributes of these data (and their affiliated metadata) often make cataloging the data challenging, thus preventing organizations from fully capitalizing on their data assets.