There are lots of ways of measuring data quality. A quick definition is: the degree to which you can trust the data you are using for the purpose at hand.
To improve the quality of City data by providing a standard way to plan for and manage quality through the data lifecycle.
Because problems with data quality can:
- Lead to inaccurate decisions or conclusions
- Increase costs (staff time, confusion, repetitive questions and issues)
- Create compliance or legal risk
You can use this guide as a method or checklist to plan for and obtain new data. If you already have data, we will be developing another guidebook on improving data quality.
Anyone affected by or responsible for obtaining, managing or using data for a program or service in the City. This includes:
- The program or service owner, manager or executive
- Program staff
- Business analysts
- IT staff, including developers and database managers
- End users of the data
We designed this guide for a large span of backgrounds. For some of you, this information will be brand new. Others may already be experts and can skip any familiar sections. Part of our goal is to develop a shared set of practices and approaches regardless of background.