Datahub
Initiatives
Interdisciplinarity
Develop and share methods that facilitate interdisciplinary research
BRIDGE mentorship initiative
Promote research integrity and fairness in global health epidemiological studies
Software code
Make R code available for estimations of disease frequency using Bayesian hierarchical spatial approaches
Data on racialised groups
Conduct a literature review (systematic search and critical analysis) about health research and data on racialised groups
Mapping data on migrants and medicine
Map the available sources of datasets about access to and use of medicines among migrant populations
Mapping data for urban health
Explore how data can be obtained, combined, interpreted and presented to inform decision-making about wicked urban health problems
Statistics experiences
Write vignettes to share statistics experiences that do not make it into classical research papers
Data management for programs
Establish a robust and efficient DHIS2 platform specifically tailored to optimize the quality of leprosy case management
Social network analysis
Collect primary data for quantitative social network analysis using digital tools
Quantitative data
Make quantitative research data available for secondary use
Qualitative data
Contribute to a paper about ethical considerations for sharing qualitative data