The challenges of managing in-house data, connecting it with public data and annotations, and then interpreting what it all means in the context of the biology research, is something everyone involved in bioinformatics research can attest to. Data interpretation slows down the process.
The Hyve brought this to our attention in their article, “A business case for semantic data integration.” Another step in the process that creates a bottleneck, is semantic integration of the data. Searching through PDFs and Excel data sets could cost you days identifying relative data and annotations. However with proper semantic technology based on a solid taxonomy, the time spent can be a fraction of what it would take without it.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.
