Urban health requires the interconnection of knowledges and practices from different disciplines to depict the complexity of urban systems. This poses several challenges in the study of urban health such as the need for a common vocabulary (i.e., how we define urban areas, informal settlements); the use of data from different sources (i.e., place based and spatial data, health registries); the creation of data that could be comparable across urban areas and over time (i.e. accounting for differences between cities and within cities over time), among others. All these challenges are closely related to the principles of FAIR (Findable, Accessible, Interoperable, Reusable) and CARE (Collective benefit, Authority to control, Responsibility, and Ethics) data policies and practices. The implementation of these principles contributes to a more transparent, efficient, participatory, technology enabled, and interdisciplinary science to tackle current and future global societal challenges Beginning in 2023, all NIH-funded grant applications or renewals that generate Scientific Data must include a robust and detailed plan for how researchers will manage and share data during the entire funded period (data management and sharing plan, DMSP). This includes information on data storage, access policies/procedures, preservation, metadata standards, and distribution approaches, which are closely related to the knowledge and implementation of FAIR and CARE principles. The common understanding of the FAIR and CARE principles is fragmented and uneven among researchers and practitioners in urban health. Therefore, the overall purpose of this course is to provide participants with a broad understanding of FAIR and CARE principles that could help them to design and develop data management plans for research and community -based projects according to NIH data management requirements.
Prerequisite knowledge: None
Technical requirements: None
Continuing Education Credits*: 1.5 CEU or 15 CPH