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ISO standard 15489: 2001 defines Records Management (RM) as the field of management responsible for the efficient and systematic control of the creation, receipt, maintenance, use, and disposition of records, including the processes for capturing and maintaining evidence of and information about business activities and ...

Electronic records management (ERM) is the management of electronic files and documents as records. The key difference between ERM and the traditional records management of physical records is the focus. ERM captures records as part of a digital business process.

What are some best practices for managing electronic records? Develop an information governance strategy. Evaluate certified records management systems. Ensure the electronic document can be legally presented as an official record. Track the actions taken on the document.

Records Management Strategy process This forms the baseline for creating priorities and a roadmap for implementation. The process identifies the need for both paper and electronic records management, and determines which type of system is best suited to the organisation's current state of readiness.

ISO 15489 establishes the fundamental concepts and principles for creating, capturing, and managing records. This standard applies to records in any format, structure, or technological environment, regardless of time.

The classification of data should be made in such a manner that the different classes stand mutually exclusive from each other without leaving any room for over-lapping of any class. This means that every item should be confined to a particular class and no item should be included in a female class or vice versa.

All data must be classified into one of three classes: 1) Low Risk, 2) Moderate Risk, or 3) High Risk. Data not explicitly classified as High Risk or Low Risk shall be classified as Moderate Risk data. The data is intended for public disclosure.

Data classification with GDPR uses the four data classification levels: public data, internal data, confidential data, and restricted data.

A data classification policy identifies and helps protect sensitive/confidential data with a framework of rules, processes, and procedures for each class.