Data curation is an essential element of the life sciences R&D process, requiring significant expert manual effort. Biologists and data scientists are diverted by the endless challenges of data curation: processes are entangled, error-prone and labor-intensive, presenting a major bottleneck.
Biocuration also relies heavily on tacit and implicit knowledge, not easily transferrable across divisional and organizational boundaries.
Current tools for data engineers and scientists are limited to structural, lexical and syntactical data wrangling tools. The requirement is for semantic enrichment capabilities necessary for complex and context-specific life sciences data.
The challenge is further exacerbated by the complexity of microbiome and genomic datasets, which are often stored in silos with no consistency or context.
e[curate] automates the identification, cross mapping and semantic enrichment of complex, diverse and disparate life sciences data types.
Eagle Genomics’ innovative approach in establishing a platform-driven ecosystem for the generation and exchange of scientific data-derived assets is of great potential value to Unilever.
Healthy animals, healthy people and a healthy planet are all interconnected. With the advanced knowledge and insights we anticipate generating from our microbiome data, the e[datascientist] will allow us to bring more relevant products to market.
As a company driven by innovation, Reckitt collaborates with partners who bring powerful new capabilities to the table so we can deliver disruptive ideas to the market.
