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Firesphere

Google does index it, actually, but doesn't give it much priority

Firesphere

@null Feel free to log in with your Slack account, I can hook you up so you can do the SEO magic then. I think I already got it fairly well covered by the meta descriptions?

null

wasn't thinking meta tags - perhaps some code changes

null

url structures and stuff like that

Firesphere

The URL structure is very predictable, as well as there being a sitemap.xml

null

It's a massive database. In theory you could data mine for common questions, or rather "common Solr queries that tend to answer peoples questions, and which ones get clicked"

Hels

@Firesphere - data-mine it. do a word-cloud type analysis, then subtract obvious ones like “hi”, “thanks”, “and” (I’m sure there some common usage type resource that could provide the list to subtract), then use a little human common sense to work out how the top words relate to potential FAQs or tutorials

Hels

If you could dump out a subset of the data I would give it a try at a basic level. I would use R cos thats what I know better (for -omic data). Am actually doing a course in “advanced data manipulation techniques in R” (or some title that sounds as obnoxious as that) for work in a few weeks so could even use that as my practice dataset…. (since there are already alot of pipelines for standard omics datasets and I want to learn new techniques to go beyond the pipelines)