Location: He Matapihi Molesworth Library at National Library, corner Molesworth and Aitken Streets,
Wellington Come to the main entrance of the National Library on Molesworth Street.
Cost: Free
Bring: a laptop if you have one. There are publicly available computers if you don't have a laptop.
Venue
User:Einebillion The group meet at the He Matapihi Molesworth Library within the National Library. This is a Wellington City Council pop up public library. It was formerly The National Library net.work space.
Drinks are permitted in the library.
At the Feb 15 meeting the attendees discussed what could be improved to make the meetups more effective. The decision was more focus on tools and demonstrations of tools.
Einebillion (
talk) has approached Wellington City Council Library staff and they have agreed the group can use the large screen TV above the magazine high table for demonstrations. The librarians will provide a cable so laptops can connect to the TV. Ask for the cable at the Librarian desk.
Introduction to meet up by organisers
Round table for participants to say what you’re working on and if you need help with anything - bring along your Wikipedia, Wikidata, or Wikimedia problems
Demonstration of the Open Refine tool now deferred to next meeting UPDATE: The librarians have let me know that the TV will not be available due to an event in the library space. The other table is still available for our use however.
Einebillion (
talk) 02:26, 6 March 2020 (UTC)reply
Get on with problem solving, editing, and chatting
Outcomes
Group is smaller today due to busy lives. Only three of us.
What's been happening in the past week.
Writing articles on theatre in New Zealand. Found data sets but couldn't open files.
Mix n Match for music albums - matched over 1000!
Reviewed resources on quick statements but got stuck.
Einebillion (
talk) Setting up new pages for meet up and invited to talk data.govt.nz about sourcing data from state agencies
This session
Talked about de-stubbing and the
ORES tool ArticleQuality.js - A user-script that displays article quality predictions on the top of articles (and items in Wikidata), on history pages, and next to article links in lists. However we were stumped as to how to get this tool working with our user profiles.