Metadata Management

To effectively manage metadata within the HEA Database, the following practices are implemented:

• Data Entry and Validation: All metadata entries are subject to validation against the respective standards before inclusion in the database. This ensures accuracy and consistency of the data.

• Data Ownership: Each metadata item has an Owner and designated Editors. The Owner is ultimately responsible for data quality for that metadata item. This approach ensures that someone has a full picture of the individual metadata items and can avoid duplicates, etc.

• Regular Updates: Metadata standards, especially wealth characteristics, are periodically reviewed and updated to reflect changes in economic practices and data classification standards.

• Training and Documentation: Personnel involved in metadata management are provided with training and detailed documentation on metadata standards.

• Quality Assurance: Regular audits of the metadata are conducted to ensure adherence to standards and to identify and correct any inconsistencies.