Epidemiological research relies heavily on data collection and analysis to understand the distribution and determinants of health-related states and events in populations. Proper documentation of these datasets is crucial for several reasons:
Reproducibility: Ensuring that studies can be replicated and validated by other researchers. Data Sharing: Facilitating the sharing of data among researchers to foster collaboration and secondary analysis. Preservation: Maintaining the integrity and usability of datasets over long periods. Interoperability: Enabling datasets to be combined and compared across different studies and disciplines.