Introduction to DDI
DDI (Data Documentation Initiative) is a metadata standard for describing research data. It provides a structured way to document datasets, improving data sharing and discoverability across disciplines.
Why Use DDI?
Using DDI enables better data reuse, compliance with standards, and increases interoperability. It supports data archiving, sharing, and long-term preservation by providing rich, standardized metadata. Specifically, DDI enhances data management by:
- Generating interactive codebooks for better data exploration
- Implementing data catalogs to improve data discovery
- Building question banks for survey research
- Creating concordance mappings to track variable relationships
- Harmonizing and comparing data across studies
- Managing longitudinal datasets to support complex research designs
Who Uses DDI?
Researchers, data repositories, statistical agencies, and academic institutions widely use DDI to ensure consistent, comprehensive data documentation, enhancing data accessibility and utility.