The process, or set of processes, that increase confidence that data will meet a specific need, and that organisations collecting, accessing, using and sharing data are doing so in trustworthy ways. (Open Data Institute, June 2021)
As part of a quality control review, the following 5 sets of checks should be undertaken.
Accuracy of key attributes Consistency of key attributes Timeliness of data (is the service still running - are the sessions still in date) A properly defined service consists of 3 parts, the provider, the venue and the service itself.
It is important therefore that each part is reviewed.
Part 1: Who is the provider? A provider may have multiple venues and provider multiple services; however, the provider only needs to be checked in accordance to each providers status to ensure details remain accurate. Part 2: Where/How do they provide it? A venue may host multiple services, but only needs to be checked in accordance to each venue status. It’s important to check the and accessibility to ensure these are accurate. Part 3: What do they provide? This is part of core the information set used to reflect what the service provides. A service may contain sessions which state the operating days and times when service users can access the provision. Each service needs to be checked and assured based on its status . The is based on the Likelihood of service information changing. Checks will vary from 1, 2, 3 or 6 months. Proving Data Quality
The following Audit/metadata is kept providing reassurance of the data quality held.
After Assuring the data for a service the following information is automatically updated