CA Through training, it is advisable to educate employees on the distinctions between data mangement functions and how they relate to electronic records management.
Phrases
<P1> Much of the archival practice in the management of electronic records until the last few years, and of the literature describing this practice, has been concerned with managing databases as machine-readable or electronic records. Applying the transaction/evidence test to many databases indicates that they should not be regarded as records in this sense, operating as electronic information systems rather than as electronic recordkeeping systems, to use the neat distinction made by Bearman and his colleagues. (p.18) <P2> Where the essentially evidential quality of a record is not accepted, that is, where records are simply equated with recorded information, the distinction between records and documents tends to disappear . . . a document may be distinguished from a record by the latter's evidential quality in documenting the transaction of business. (p.19)
Type
Web Page
Title
Record Keeping Metadata Requirements for the Government of Canada
This document comprises descriptions for metadata elements utilized by the Canadian Government as of January 2001.
Critical Arguements
CA "The Record Keeping Metadata is defined broadly to include the type of information Departments are required to capture to describe the identity, authenticity, content, context, structure and management requirements of records created in the context of a business activity. The Metadata model consists of elements, which are the attributes of a record that are comparable to fields in a database. The model is modular in nature. It permits Departments to use a core set of elements that will meet the minimum requirements for describing and sharing information, while facilitating interoperability between government Departments. It also allows Departments with specialized needs or the need for more detailed descriptions to add new elements and/or sub-elements to the basic metadata in order to satisfy their particular business requirements."
