===**On Point / Tag Relationship**=== The On Point application uses our Tag Database to pull data from each Sub-Department that appropriately fits under each featured issue. The role of the Tag Manager and ‘Tag Association’ lists is to ensure that each featured issue contains a list of accurate tags to display relevant data (Speeches, Bills, Measures, Ratings) under each issue on the app. - Each tag in our Database has a unique (**tag_id**), which is assigned when the tag is created. Each tag has the same (**tag_id**) throughout all departments. - On Point pulls data through ‘Tag Association’ lists, compiled of individual (**tag_id**)’s from our database under each (**featured_id**) issue. - Tag Association list can be found in the (**featured_tag**) table, or in the Research drive on Desktop. - Any piece of Votesmart data (Speech, Vote, Measure, Rating) that is tagged with at least one of the tags on the ‘Tag Association’ lists will display in the app under the appropriate issue. ===**Featured Issues**=== Once a featured issue has been selected, and a description has been written, a ‘Tag Association’ list is developed to pull Votesmart data to be displayed under each issue. Tag Association lists can be found in the featured_tag SQL table, and also in the Research Drive (**Research