Data Management addresses the activities of capturing, storing, protecting, using, disseminating, and destroying data. Good data management requires a governance context within which to operate; and data management policies, standards and procedures provide guidance for the routine handling and protection of institutional data and media containing that data. Data management practices should improve efficiencies, reduce risks associated with handling data, and ensure institutional compliance with applicable regulations, such as State of CT record retention schedules. Good data management also minimizes misuse, misinterpretation, or unnecessary restrictions of access to institutional data.
Data Classification is the foundation for making decisions about data. Classification determines which security, storage, backup and other controls to implement. For example, public data needs less security than data that if compromised, could cause identity theft or financial fraud.
Visit the Data Management site for more information on the Data Management Standards and Procedures.