BS 10010:2017
Information classification, marking and handling. Specification
Standard number: | BS 10010:2017 |
Pages: | 44 |
Released: | 2017-03-31 |
ISBN: | 978 0 580 91832 2 |
Status: | Standard |
BS 10010:2017
This standard BS 10010:2017 Information classification, marking and handling. Specification is classified in these ICS categories:
- 35.240.30 IT applications in information, documentation and publishing
- 01.140.20 Information sciences
- 03.100.99 Other standards related to company organization and management
This British Standard specifies requirements for the creation, implementation, evaluation and improvement of Information Classification, Marking and Handling (ICMH) systems. It specifies requirements for classifying information, including defining how it may be accessed by users, both inside and outside the organization, that own the information.
The intended users of this British Standard include, but are by no means limited to, the following:
organizations of any size that create, store, process and/or share information;
individuals who create, store, process and/or share information;
individuals with responsibilities for records management, document management, information governance and management, information security, data protection and/or privacy; and
organizations that create, provide or support tools that enable a) to c).
The scope of this British Standard addresses information that is in a form that can be understood by humans and is capable of being shared. Throughout this British Standard such information is referred to as an ‘Information Asset’ regardless of its media or format.
NOTE 1 Information Assets can include structured information, unstructured information, text, pictures and audio recordings, i.e. anything that contains information.
NOTE 2 The content of databases do not as easily fit within the marking aspects of this British Standard. However, information in whatever form that is derived from a database and turned into a tangible asset is included within this British Standard, as is information that is not originally derived from a database.