Closed theriex closed 6 years ago
The above are "categories" as defined by an Organization. An org may also define "regions" of interest for the datapoints and timelines it maintains e.g. "Boston", "Puerto Rico", "Hawai'i" or whatever makes sense for them. Anything that does not fall under categories or regions can be captured in "tags", again as defined by the org. All three types of keywords can be used as search filters.
You can also filter by source (person) which matches if a datapoint was created, modified, or endorsed by that person. That makes it easy to find the data you are working on (as needed). The sources you have to select from are built from the data in your working set, they are not a comprehensive list of every person in the organization.
Didn't do the filtering by person. Hasn't been an issue so far as the organizations are small and the "organization points" selector shows everything needed. Can revisit later with a clear use case if it ever comes up. Meanwhile orgs can now define their own groups, regions, categories, and tags that are checkbox selectable when editing a point or filtering the display in reference mode.
In reference mode, it would be helpful to be able to access data points based on cross-cutting access keywords such as "statistics", "stereotypes and denigration", "laws and legislation", "sports and entertainment", "awards and achievements", "science and technology", "arts and letters". This would require a full pass through the data and the addition of a new field. Probably the available access keywords should be codified once and then accessed by letter code similar to how the timeline associations work.