The data model registry is a comprehensive, authoritative reference for information about data modeling, data specification, data definition, and their relation to other datasets. It supports the creation and implementation of data models that are designed to encourage the efficient sharing of observation data. The data model registry serves as a catalogue of data elements in application systems. The registry does not contain observation data, but it may show data availability. It provides descriptive information to make the data model. The registry links with ontologies and it shows definitions of the term. In order to describe the data element, it is necessary to understand technical terms. The ontological information is considered part of the registry system. This is very important because if a user creates a new data model without referring to an existing model, the result is a mishmash of model type. Also, if the registry system archives data models with their relations and definitions, it is very helpful for integrating actual data.
