Data dictionary
The information contained within a data dictionary typically includes:
The meaning and definition of each data field.
The origin or source of the data.
The format and data type (e.g., numeric, text, date).
Permitted values or coding structures.
Relationships between different data fields or tables.
File names and record structures.
The number of records within each file.
Unlike a data catalogue or database, a data dictionary does not contain the raw data itself. Instead, it functions as a reference guide to the structure and organisation of the database.
A data dictionary may also document governance-related details, such as:
The data owner or responsible party.
Access permissions and user roles.
How frequently the data is updated or accessed.
Compliance or retention requirements.
In essence, a data dictionary provides essential 'book-keeping' and structural information that ensures consistency, clarity and effective management of data assets. Within market research, it is particularly valuable when managing large datasets, tracking variable definitions, maintaining coding frameworks and ensuring transparency in data processing and reporting.
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