For more repeatable, productionised processes, SciBite’s Connectors helps automate the scheduled data collection workflow into DOCstore.
The SciBite’s Connectors framework streamlines the ingestion of frequently updated sources, eliminating the need for manual updates.
Manage the processes of collecting, loading and indexing data via an intuitive user interface
Pre-configured connecters for common datasets, including Medline, Pubmed, Central European Patent Office, Clinicaltrials.gov and enterprise document storage such as SharePoint
Can be augmented with new customised connectors
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For most pharmaceutical companies, extracting insight from heterogeneous and ambiguous data remains a challenge. The era of data-driven R&D is motivating investment in technologies such as machine learning to provide deeper insights into new drug development strategies.
The quality of data directly impacts the accuracy and reliability of results of computational approaches. However, the work required to achieve clean, high quality data can be costly, often prohibitively so, requiring data scientists to spend the majority of their time as ‘data janitors’, rather than actually analysing data.
SciBite provides an integrated, cost-effective solution to significantly reduce the time and cost associated with the process of data cleansing, normalisation and annotation. The output ensures that downstream integration and discovery activities are based on high quality, contextualised data.
Search just got a whole lot more powerful. DOCstore enables researchers to harness the power of semantic analysis search to rapidly and comprehensively scan multiple biomedical sources.Read
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