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.

Ki has developed a four-step process for managing this data.

Step 1: Data is manually converted to a standard format and mapped to standard dataset names, variable names, and code lists.

Step 2: Morbidities are mapped to a common vocabulary (MedDRA) and common derived variables are re-calculated for consistency.

 Step 3: Mapped datasets are reviewed following a QC checklist to identify errors in data mapping code and quality problems in the contributed datasets

 Step 4: Data sets are released for analysis on our secure internal platform.

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.

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.

Note that Ki only accepts de-identified data.  All personal identifiers (name, address, phone number, government ID number) must be removed prior to contributing.