Join this webinar to learn about how to get there with high-quality, manual curation.
Data science is becoming a key discipline in pharmaceutical research. A successful Data Science strategy requires high-quality structured, integrated data collected from internal sources (for example bioassays) and external sources (literature, patents, drug labels, etc). Manual curation by domain experts is the key approach that allows companies to get from unstructured data spread across thousands of sources to high-quality datasets in order to gain new insights, make discoveries, and speed up drug development.
Curation at scale is a complex process that involves the development of strict protocols and standards, sophisticated infrastructure, and management of a large number of curators. The complexity of manual curation makes it a costly – but necessary – process, and that is why it is so important to get it right. This webinar will explore the processes, best practices, and pitfalls of manual data curation.
At the conclusion of this session, participants should be able to:
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