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For certain collections of information, submitted data may refer to one or more schemas,
taxonomies, or ontology models that describe the syntax, structure, or semantic meaning of the
data.51 These can be used to validate and explain the data. A high-quality machine-readable
description of the syntax and structure of a data asset allows for automated verification of the
associated data asset. A high-quality machine-readable description of semantic meaning of a
data asset ensures that the specific meaning remains clear as the data asset is transmitted to
multiple parties.52 Not all Agency collections of information have a schema and taxonomy
associated with them, as a schema and taxonomy may not be appropriate. Further, a schema and
taxonomy would not be required for all collections of information subject to the FDTA. The
formats used to develop and publish schemas and taxonomies are referred to as schema and
taxonomy formats.
For the joint standard for data transmission and schema and taxonomy formats, the
Agencies propose to establish that the data transmission or schema and taxonomy formats used
have, to the extent practicable, four properties, derived from the requirements listed in section
51 Within the field of data science, the terms “schema,” “taxonomy,” and “ontology model” are used in various and
sometimes conflicting ways. For example, sometimes the term schema refers only to the description of the syntax of
a data asset, while other times, the term can refer to a description of the syntax, semantic meaning, and
organizational structure. Similarly, sometimes the term taxonomy refers only to the description of the semantic
meaning of a data asset, while other times, the term can refer to a description that includes syntax, semantic
meaning, and hierarchical structure. The term ontology model may refer to the description of the semantic meaning
of a data asset. However, taken together, these terms consistently refer to the combination of syntax, structure, and
semantic meaning of a data asset. For simplicity, this proposal uses the term “schema and taxonomy” to refer to a
description or set of descriptions of the syntax, structure, and semantic meaning of the data and “taxonomy” to refer
to a description of the semantic meaning and hierarchical structure of data. This usage is consistent with the
definition of taxonomy in National Information Standards Organization Standard Z39.19, “Guidelines for the
Construction, Format, and Management of Monolingual Controlled Vocabularies,” available at
https://www.niso.org/publications/ansiniso-z3919-2005-r2010.
52 Section 124(c)(1)(B) of the Financial Stability Act requires that the joint standards to the extent practicable
“enable high quality data through schemas, with accompanying metadata documented in machine-readable
taxonomy or ontology models, which clearly define the semantic meaning of the data, as defined by the underlying
regulatory information collection requirements[.]”