A data dictionary is a document that records field names from data, along with definition of key concepts such as who data was collected from, how the data was stored and what type of data is stored for a given field. By recording a data dictionary in a consistent, simple and structured format it is easier to interpret data accurately.
Each SDDF file describes a single data asset, such as a single CSV file or by a sheet within an Excel document, or single table in a database. This table will begin with a header that defines the fields used in the dictionary. These fields are given consistent names selected from those described within this document. Each row within the table maps to one single column or field within the data asset, as well as a single data element within the Data Dictionary.
Where each row maps to a specific field from a data asset a “Column name” field should be included to record the name of that field.
ISO 11179 Metadata types
A precise way of defining how a measurable attribute of a set of objects may be recorded in a system, using reusable metadata components.
Data Element Concept
A valid pairing of an Object Class and a Property to define a measurable attribute of the object, idea or event being observed.
A definition for classifying a set of real objects, ideas or events that all share common measurable attributes.
A definition of an attribute common to all members of a set defined by an Object Class.
A definition of how to record the measurement a particular attribute, either using a coded list of values or a description of the possible values.
A description of the range of values that can be used to record information, as well as any valid operations that can be performed on the data.