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Development of global health solutions
Researchers from around the world have provided data to Ki from more than 190 studies representing more than 12 million children from 36 countries.
By combining and standardizing data sets into a single knowledge base that can be analyzed at once, Ki provides researchers with exponentially more statistical power to answer important questions.
Ki is inspired by the principles of FAIR (Findable, Accessible, Interoperable, Reproducible)—that is, its data should be findable, accessible, interoperable, and reusable. Ki is in the process of adding many of its highest-value data sets to the publicly facing Clinical Epidemiology Database (ClinEpiDB) resource maintained by the University of Pennsylvania and other global partners.
Ki has established a process for working with principal investigators to incorporate the data they’ve collected into the knowledge base—and for including them in any future analyses conducted using the data they contributed. It is the interdisciplinary collaboration among data scientists and domain experts that yields key advances.
The knowledge base is constantly growing in size and diversity. Previous analyses reveal key gaps in it, leading to new studies to fill those gaps. As a result, the number of questions the knowledge base can help researchers address is always increasing.
We are always looking to expand our knowledge base so that we can run more powerful analyses that generate more relevant insights. If you have study data (clinical, longitudinal, or survey) and are interested in considering contributing to Ki, we are eager to talk to you. Currently, we are especially focused on maternal, newborn, and children’s health in low- and middle-income settings. Contact us and a member of the Ki Data Services Team will respond as soon as possible.