Lauren Tulloch – CCCVice President & Managing Director Corporate Solutions
Bio Coming soon
Enabling Scientific Discovery Through FAIR Data
All businesses capture, transform, and process content and data to obtain information and insights. In order to increase the value obtained from this data, the FAIR (Findable, Accessible, Interoperable, and Reusable) movement has emerged with the intention of improving how data is exploited both now and in the future. In this session, SciBite and CCC will discuss how to manage a knowledge supply chain, taking raw content and data assets and making them FAIR by creating a semantic index and enabling scientifically intelligent search and advanced analytics. This allows data from disparate sources such as scientific literature, patents, and news – describing entities such as disease, human genetics, and drugs – to be connected, enabling powerful search and data integration in unambiguous, scientifically pertinent ways. CCC and SciBite will showcase how data is indexed at scale and combined with meaningful semantics utilising biomedical ontologies – knowledge models which standardise metadata. We will illustrate this using real world examples and demonstrate how companies are executing strategies to make content and data FAIR, enabling users to gain new insights and accelerate research ROI.
- How semantics, through use of annotations from biomedical ontologies, can unambiguously describe metadata in documents.
- How search and retrieval can be performed, at scale, utilising these unambiguous semantic descriptions.
- How such approaches support the FAIR principles improving how your data and content assets are utilised, maximizing the value of their investments by bringing together disparate data and content assets to bring insights to end users when and where they need them.