Evaluate & Archive
Main Content
Once the analysis is complete, it’s time to evaluate the datasets to ensure they are complete, accurate, and well-documented. This phase often involves quality control checks and validation to confirm the data meets the project’s standards. Archiving follows this evaluation, where datasets are securely stored in long-term repositories. Archiving ensures that data is preserved for future use, whether for follow-up studies, replication efforts, or compliance with institutional or funding requirements. Proper organization and metadata usage in this phase are critical for enabling easy retrieval and understanding of archived data.