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Bridging information silos the FAIR way
Posted on February 3rd, 2020 by Ani Marrs in Pharma R&D
We are living in a unique time, when the combination of computational power, expertise in knowledge engineering, and the data generation rate are all aligned to enable the aggregating and analyzing of data from different sources and types in order to better understand life science systems. The incredibly data-rich workflows that result from this alignment can be used to get improved insights into diseases, in turn helping researchers to develop more efficient and effective treatments for those diseases.
FAIR (findable, accessible, interoperable and reusable) data play a key role here, as they include properties that facilitate their aggregation and analysis for a more complete picture of a scientific problem.
Elsevier’s Entellect team is currently exploring the concept of a FAIR Server, where they leverage the FAIR characteristics of the Entellect platform, and those of other FAIR repositories, to interoperate data without having to move them onto just one platform. This could be a valuable way of breaking down barriers and making data more accessible.
A system built around a FAIR Server would use the FAIR Data Principles [as a springboard to inform decisions and drive research programs in a flexible and powerful way.
Read this article to find out more about Bridging information silos the FAIR way.
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