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Based on our solid methodology and extensive use case experience in the domain, we have gone one step further to facilitate our clients. We have created a LinkedLiveData Inventory of 200+ public datasets and ontologies in Life Sciences, Pharma and Healthcare.
Another important part of the Inventory are the referential ontologies and terminologies that we use. Some of them are already distributed in an RDF format (like, for example, SNOMED CT), but many others (like MedDRA, ICD-9, ICD-10, etc.) are not. We keep all ontologies in our Inventory in RDF and use them to semantically normalize the data for all other datasets like PathwayCommons, FDA, National Drug Code product reports (NDC), Drugs@FDA and many others.
Using Ontotext’s LinkedLifeData Inventory and our proven methodology made it possible to significantly shorten the time for delivery compared to starting the implementation from scratch.
Thanks to the automated data update process, each dataset is automatically updated, semantically normalized, enriched and validated towards its previously defined schema. The result is data that is easily findable, accessible, interoperable and that can be reused in other projects (FAIR).
So, whatever you need for your specific use case, we have it in our LinkedLifeData Inventory and we can use it to enrich your proprietary data. The efficient combination of this Inventory and our technology allows us to deliver purpose-built business solutions and do it in no time.
