issue_comments: 1313052863
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/simonw/datasette/issues/1886#issuecomment-1313052863 | https://api.github.com/repos/simonw/datasette/issues/1886 | 1313052863 | IC_kwDOBm6k_c5OQ5i_ | 9599 | 2022-11-14T03:40:50Z | 2022-11-14T03:40:50Z | OWNER | Tim Sherratt on Twitter: https://twitter.com/wragge/status/1591930345469153282 > 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. > > https://glam-workbench.net/ > > 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: > > https://glam-workbench.net/name-search/ > > 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. | {"total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 1, "rocket": 0, "eyes": 0} | 1447050738 |