e[curate] is an innovative application that has injected significant efficiencies into the R&D process within the life sciences sector. With its ability to enrich existing data with quality metrics and semantics, it empowers scientists to spend less time finding their data and more time on analysis.
(Available May 2017)
How it works
The e[curate] platform will link and automatically annotate data sources or specific R&D data with the appropriate semantic content. Historically, automated curation has been a notoriously difficult process. This is because most semantic enrichment approaches are reliant solely on ontologies to provide domain-specific content. We enhance these methodologies with both process modelling to identify missing attributes and guide tag placement and data valuation to optimise the enrichment process against specific business objectives.
Conversational Interface » for searching and “interacting” with the data in the catalogue.
Semantic Compass » to enrich searches and promote understanding of biological questions.
Custom Reporting » in support of different scientific R&D disciplines.
Data Governance support, » including data models, ontologies, data classification and downstream analytics.
Built-in A.I. » using deep learning and machine learning technologies to predict, guide and support user behaviour, data discoverability and research aims.
Custom Widgets » to serve different scientific domains or business environments.