idea: make authors and keywords on dataset landing page clickable to feed the search
- Dominant language
- Python
- Stars
- 26
- Forks
- 21
- Avg merge
- 4d 23h
- Merged PRs (30d)
- 15
Description
Looking at

clicking on any author or keyword (ATM does nothing) could just take that entity and feed the search bar, thus allowing to quickly navigate archive for a specific author or keyword, e.g. clicking on `alpha rhythm` should lead to

AFAIK it should be quite easy todo for any JS savvy dev, and before some fancy faceted etc search is developed, IMHO it would greatly improve UX to navigate through the archive based on authors/keywords of interest.
notes:
- it is sufficient to "enter" into searchbar in the original dataset landing page -- it would jump into shown above search results
- unfortunately we seems to not yet support limiters in the search query, so I could not search for `keywords:"alpha rhythm"` in this case
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by locating the dataset landing page and the search bar entry point in the web application. Check how author and keyword elements are rendered, then verify that clicking either populates the search and reaches the corresponding results view.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- javascript
- Domain
- frontend, search
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100