One of our missions is to directly and indirectly help patients by aggregating and linking both private and public data. A direct help is to facilitate awareness about health and disease by providing proper information about prevention, diagnosis and treatment, amongst other things.
We are very excited to announce the release of version 3.0 of our DISQOVER platform. After introducing federation in versions 2.x, we succeeded in unlocking a whole new dimension of semantic data in this 3.0 version with the typed links. But wait, there is more! We have also greatly increased usability and flexibility in areas such as discovery management, exporting and dashboards. Can't wait to learn more? Read on!
In my previous blog, I tried to explain that the usage of different disease classifications or encodings in data sources like the US and EU clinical trial registries, doesn’t hamper the integration and linking of this kind of data.
Disease classifications are also used to precisely define diseases in other contexts like epidemiology, pharmacovigilance, toxicology, pharmacology, genetics, etc. This data is scattered across a plethora of data sources, maintained by different governmental and other non-profit organizations like research consortia and institutes or individual research groups. If they are keen on providing meaningful and useful data, data providers try to avoid using disease terms that aren’t defined precisely in an ontology.
Companies that host their own setup of DISQOVER know that a crucial step in the process of making data available is the indexing. In the past few months, we have optimized this process. Indexing now runs up to 3 times faster while the logging has been more readable and more informative.
Anyone who’s ever been involved in data integration will confirm: integration projects are usually cumbersome and very time- and resource-intensive. Those facts alone take the wind out of the sails of many a company. Most, in fact, don’t even begin data integration projects.
But it doesn’t have to be like that. Integrating your first datasets into our semantic platform DISQOVER, happens in just 3 days. There’s no need for long trajectories! Within 3 days, your first internal datasets are searchable and you’re even trained to add additional datasets yourself.
Here’s how it works.