Data and information are fundamental assets for social security institutions. The scale of social security institutions and relevance of the activities they develop increase the complexity of and risks related to data management. Institutions make key decisions based on data and information about people, including employees, employers and work activities.

Constructing social security corporate data is complex and costly as it usually covers a large proportion of the country’s population and long life events. In addition, errors or misuse of this data could have important social and political impacts.

Therefore, data and information administration has to be based on an institution’s corporate policies and practices. Systematic and standardized approaches to data and information management enable institutions to address these challenges and also take advantage of internationally developed knowledge.

This set of guidelines addresses issues of the effective and efficient planning, control and exploitation of data and information resources throughout their life cycle. They are based on standards and quality properties for data/information and processes to access and update data/information.

The specific guidelines in this section are:

• Developing a data governance framework
• Developing a master data model and system
• Data development and operations
• Data quality management
• Mechanisms for information retrieval and analysis