I am using github to share a set of SPARQL queries:
http://www.boisvert.me.uk/opendata/sparql_aq+.html?file=specific%20sensor.txt
Currently the simple work allows end-users to access queries stored on the github repository, but ultimately I want to allow them to also modify the queries, as with a pastebin, and make use of the repository to better manage the shared system. Ideally I would want end-users who may not be very tech-savvy, to be able to make minor changes to queries to an open, linked data endpoint: so to keep the technology barrier low.
My problem is this: how best to structure the github project and exploit the API to make the most of the available information? I can think of different points:
- Currently the project (https://github.com/boisvert/unshaql) holds client code and example queries. Does it make a difference to create an independent project (separate from the web client code) for SPARQL queries?
- I would use directories within the project to classify/tag queries, and file names to title them. Are there better alternatives? It strikes me that a hierarchical structure is not a good fit to tags.
- When end-users save, a simpler (and cruder) option is to allow them to push their file into just one branch, which holds the examples. A better engineered one would be to allow them to use their github credentials to fork the set of SPARQL queries and edit theirs, but with unaware users, how do I avoid creating a mess?