Welcome to Gender Foundations in Health Data: A Data for Health course. This course was developed from an online seminar series of the same name, that was hosted by Johns Hopkins University Bloomberg School of Health in 2021-22. The course instructors are Drs. Michelle Kaufman and Tahilin Sanchez Karver. This course will raise learners' awareness of the necessity of utilizing a gender lens in global public health data, policy, and practice, feature how-tos and key examples of integration of gender in data collection, analysis, and use from Data for Health partners Technical Specifications This course uses a third-party app called Articulate Rise to deliver the course materials. You will need to click-through a few screens (Articulate Rise, pop-up blockers) to enter and exit each Module. Please be sure to turn off pop-up blockers to access the materials. To post in the discussion forums, you will need to exit the Modules in Articulate Rise and go back to Coursera. Please feel free to reach out to teamgenderhealth@jh.edu with any questions, including technology concerns. We hope you have a good experience learning about gender integration in your health data work.
What you'll learn
understanding the integration of gender in health data
learning methods for gender-disaggregated data collection
analyzing the implications of gender on health policies
Course objectives
to raise awareness of the necessity for a gender lens in public health data
to provide practical examples of gender integration in data practices