Good Quality Information :)

Good Quality Information :)

1. Accuracy

   • Data should be sufficiently accurate for the intended use and should be captured only once, although it may have multiple uses. Data should be captured at the point of activity.

2. Validity

   • Data should be recorded and used in compliance with relevant requirements, including the correct application of any rules or definitions. This will ensure consistency between periods and with similar organisations, measuring what is intended to be measured.

3. Reliability

   • Data should reflect stable and consistent data collection processes across collection points and over time. Progress toward performance targets should reflect real changes rather than variations in data collection approaches or methods.

4. Timeliness

   • Data should be captured as quickly as possible after the event or activity and must be available for the intended use within a reasonable time period. Data must be available quickly and frequently enough to support information needs and to influence service or management decisions.

5. Relevance

   • Data captured should be relevant to the purposes for which it is to be used. This will require a periodic review of requirements to reflect changing needs.

6. Completeness

   • Data requirements should be clearly specified based on the information needs of the organisation and data collection processes matched to these requirements.