{"html_url": "https://github.com/simonw/datasette/issues/1886#issuecomment-1313052863", "issue_url": "https://api.github.com/repos/simonw/datasette/issues/1886", "id": 1313052863, "node_id": "IC_kwDOBm6k_c5OQ5i_", "user": {"value": 9599, "label": "simonw"}, "created_at": "2022-11-14T03:40:50Z", "updated_at": "2022-11-14T03:40:50Z", "author_association": "OWNER", "body": "Tim Sherratt on Twitter: https://twitter.com/wragge/status/1591930345469153282\r\n\r\n> Where do I start? The [#GLAMWorkbench](https://twitter.com/hashtag/GLAMWorkbench?src=hashtag_click) now includes a number of examples where GLAM data is harvested, processed, and then made available for exploration via Datasette.\r\n>\r\n> https://glam-workbench.net/\r\n>\r\n> For example the GLAM Name Index Search brings together 10+ million entries from 240 indexes and provides an aggregated search using the Datasette search-all plugin:\r\n>\r\n> https://glam-workbench.net/name-search/\r\n>\r\n> Most recently I converted PDFs of the Tasmanian Postal Directories to a big Datasette instance:  https://updates.timsherratt.org/2022/09/15/from-pdfs-to.html the process is documented and reusable.", "reactions": "{\"total_count\": 1, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 1, \"rocket\": 0, \"eyes\": 0}", "issue": {"value": 1447050738, "label": "Call for birthday presents: if you're using Datasette, let us know how you're using it here"}, "performed_via_github_app": null}