From the course: Using Public Health Data Sources
Join today to access over 22,600 courses taught by industry experts.
Quality of data
From the course: Using Public Health Data Sources
Quality of data
- [Instructor] The quality of our data is extremely important to ensure the accuracy of any results that we derive from a model, a metric, or any other measurement tool. Poor methodology and design can cause errors, such as misspellings and duplicates, and all of these errors are easily avoidable by designing tools that collect information in a standardized way. For instance, think about a web form that you might submit. Allowing users to use a text box enables them to enter just about anything they want in that field. However, if the text box is replaced with a dropdown, that ensures that all of the data being submitted will be spelled correctly, and users will only be allowed to choose from the options that were provided. In the long run, that allows businesses to have control over the quality of the data that is being collected, whereas with a text box, the number of variations in information that can be collected is…
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.