In epidemiological research, decisions often impact public health policies and interventions. Therefore, data provenance is essential for several reasons:
Transparency: Detailed provenance information ensures transparency in how data was collected, processed, and analyzed. This is important for peer reviews and public trust. Reproducibility: Provenance allows researchers to replicate studies accurately, which is a cornerstone of scientific validation. Accountability: With clear provenance, any errors or biases can be traced back to their source, allowing for corrective actions. Interoperability: Provenance information facilitates data sharing and integration across different studies and systems.
