What are the Steps Involved in Data Harmonization?
The process of data harmonization typically involves the following steps:
Data Collection: Gathering data from various sources, including clinical trials, genomic studies, and electronic health records. Data Cleaning: Removing inconsistencies, duplicates, and errors to ensure data quality. Data Standardization: Converting data into a common format and structure to enable comparability. Data Integration: Merging standardized data into a unified dataset. Data Annotation: Adding metadata and context to the integrated dataset to enhance its usability.
