DDI-CDI extends traditional DDI metadata to describe data beyond the social, behavioral, and economic (SBE) domains, addressing the need for broader capabilities. It supports descriptions of event and sensor data (“long” data), key-value data (often associated with “big” data and no-SQL data), and multi-dimensional data. By integrating these with traditional “wide” (or “rectangular”) DDI data descriptions, DDI-CDI enables the management and production of integrated data sets from diverse sources.
Further descrption from “DDI-CDI (DDI Cross-Domain Integration)”:
DDI-CDI is a new standard which is designed to be used with research data from any domain. While it minimally describes metadata for cataloguing and citation, its fundamental purpose is to describe data and process. The specification is domain-neutral and covers the majority of data structures in common use today: Wide, Long, Multi-Dimensional and Key-Value. It offers, for the first time, a mechanism to interoperate disparate data from multiple disciplines and domains at the lowest level of granularity i.e. the datum itself. While it is designed to complement its siblings in the DDI Alliance Product Suite – DDI-Codebook and DDI-Lifecycle, which operate in the Social, Behavioral and Economic domain – it is also intended to work with a wide variety of other domain-specific and generic metadata specifications. Integration is a first-order consideration in DDI-CDI and so it is designed from the ground up to work well with controlled vocabularies from any domain as well as with other standards.
| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |