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Automate the scheduled data collection workflow into DOCstore

SciBite’s named entity recognition (NER) and extraction engine, TERMite, can be fed new data via its Application Programming Interface (API).

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.

Key product highlights

  • Automated


    Manage the processes of collecting, loading and indexing data via an intuitive user interface

  • Ready

    Ready to Use

    Pre-configured connecters for common datasets, including Medline, Pubmed, Central European Patent Office, and enterprise document storage such as SharePoint

  • Flexible


    Can be augmented with new customised connectors

Want to learn more about Connectors?

Get in touch with us to find out how we can transform your data

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Use cases

Eliminating the Data Preparation Burden

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.

Read the full use case

Related articles

  1. DOCstore 1.2 – the semantic search tool is released and live

    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.

  2. Taking Semantic Search to Full Text

    Guest post from CCC, leader in creating global licensing and full content solutions, on the advantage of full text for semantic search.


How could the SciBite semantic platform help you?

Get in touch with us to find out how we can transform your data

Contact us