Our team works with clients to identify the appropriate data framework to identify data sources that are most applicable to our client’s questions. We develop inclusion criteria, data quality measures, and sourcing methods to build a strong foundation for greater analysis.

Using natural language processing and our content filters, we curate data from scientific literature sources, “grey” literature, social media, and internal databases to build a comprehensive dataset that addresses our client’s biggest questions.