DATAfitness helps you understand how exercising good data practices can keep your data healthy, so that maximum value can be made of your information sources. Data is healthy when it is:
- fit for purpose
- measurable
- comparable.
DATAfitness is important because it enhances the agility of data to achieve maximum usage and accuracy, and ensures that the greatest value can be extracted from each statistical resource.
Just as any fitness program requires skills and a way of measuring progess, data practitioners are encouraged to understand that by practising healthy data habits, its quality can be improved. Some of these elements are:
- keep your data in good shape by adding good metadata
- measure your fitness and improved performance through data quality statements
- how well does your data work as a team? Data sharing arrangements help you to collaborate with other agencies - A Good Practice Guide to Sharing your Data with Others
For more information on DATAfitness, please see the attached brochure:
NSS QuickFind
