Data quality issues occur in every system. The quality of the data often has to be enhanced to be sure it is “fit for use.” Whether you are using a single source, reusing information for a new purpose, sharing it with others, or integrating multiple sources, the following issues must be addressed.

• Data standards are necessary for effective information use, especially when involving several agencies.
• Meta data is a crucial piece of the data quality puzzle. You need to know the background and history of the data in order to make decisions about its appropriateness for use.
• Contextual knowledge is indispensable to understanding the program environment in which data is collected and used.