To facilitate common understanding, a number of characteristics, or attributes, of data are defined. These characteristics of data are known as “metadata”, that is, “data that describes data.” For any particular datum, the metadata may describe how the datum is represented, ranges of acceptable values, its relationship to other data, and how it should be labeled. Metadata also may provide other relevant information, such as the responsible steward, associated laws and regulations, and access management policy. Each of the types of data described above has a corresponding set of metadata. Two of the many metadata standards are the Dublin Core Metadata Initiative (DCMI) and Department of Defense Discovery Metadata Standard (DDMS). The metadata for structured data objects describes the structure, data elements, interrelationships, and other characteristics of information, including its creation, disposition, access and handling controls, formats, content, and context, as well as related audit trails. Metadata includes data element names (such as Organization Name, Address, etc.), their definition, and their format (numeric, date, text, etc.). In contrast, data is the actual data values such as the “US Patent and Trade Office” or the “Social Security Administration” for the metadata called “Organization Name”. Metadata may include metrics about an organization’s data including its data quality (accuracy, completeness, etc.).
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