Hello everyone,
As you may know, we are working hard to include Wikimedia Commons
(structured data) batch editing and upload functionalities in OpenRefine
[1].
Very rough, experimental functionalities for uploading files to Commons are
almost ready! It will still be fiddly to install and run these - we will
improve this in the upcoming months. But we are ready for testing!
I would like to work with a few (think 3 to 5) diverse community projects
to test batch file uploads. This will help us a lot to find bugs and to
learn how we can support your workflows better.
Maybe you have an upcoming Commons upload that we can test with? If so,
please contact me!
Ideally this upload of files (any files!) is
* Rather small (max. a few hundreds of files).
* You preferably already have some basic data/information about the files.
* They are ready to be uploaded somewhere in June-September 2022, and it’s
OK if there is a bit of delay (you don’t have hard deadlines).
* The rights for the files are cleared / there is evidence that the files
have the right licenses/copyright .
* You are OK with it that some mistakes may happen during the test, for
instance some errors in Wikitext or structured data. (We are testing new
software!). You are willing to help look for and fix mistakes if they
happen.
* You can upload the files yourself, or you can let me upload them for you.
If you want to upload the files yourself with OpenRefine, we will help you
set up. In that case, it’s good if you are a bit tolerant of bugs, errors,
and unfinished software (we are testing brand new code that is still rough
around the edges!). It would be great if you can then also give us tips and
feedback about your experience.
Are you interested in this? Then send me an email off list with some
information about the kind of files you would like to upload.
All the best!
Sandra Fauconnier (User:Spinster / User:SFauconnier)
[1] https://commons.wikimedia.org/wiki/Commons:OpenRefine
Hello everyone,
We have our next LD4 Wikidata Affinity Group Call on Tuesday, May 31, 2022 at 9am PT / 12pm ET / 16:00 UTC / 6pm CEST (Time zone converter<https://zonestamp.toolforge.org/1654012858>). Felicia Smith, Nicole Coleman, and Akosua Kissi (Stanford Libraries) will be sharing a project in development called Know Systemic Racism (KSR)<https://ksr.stanford.edu/>. It helps users discover factual data about systems shaped by racist policies and take action against them by connecting them with groups that address systemic racism. They are working on incorporating Wikidata into their project and will share this work in progress with us and are looking for feedback and advice on their process and schema. We hope you will join us to learn more about the project, especially if you have experience incorporating Wikidata into your own projects or are hoping to learn how to.
The call details are below. Everyone is welcome to attend. If you aren't able to attend, the meetings are recorded and meeting notes are available on Google Drive<https://drive.google.com/drive/folders/1JwTulCABs0TkGQDVSnYbIYEb7bC-j4-n>. To receive notifications about upcoming calls and meeting notes you can subscribe to the ld4-wikidata Google Group<https://groups.google.com/d/forum/ld4-wikidata>.
The LD4 Wikidata Affinity Group is associated with the LD4 Community and investigates how libraries can contribute to and better integrate library metadata with Wikidata to improve access to library resources on the web. The Affinity Group calls provide an informal space to share information and learn more about Wikidata.
Call Details:
Date and Time: Tuesday, May 31, 2022 at 9am PT / 12pm ET / 16:00 UTC / 6pm CEST (Time zone converter<https://zonestamp.toolforge.org/1654012858>)
Zoom link to join meeting: https://stanford.zoom.us/j/99797764815?pwd=bjNFUzIxNDk5NW9QT2duZkVNVGpWQT09
Password: 258953
Agenda: https://docs.google.com/document/d/1pjuabqUARaxr2kaRodikVx0zBznyZ0kicvcajDP…
Events:
LD4 Wikidata Affinity Group Calls are held every other Tuesday, LD4 Wikidata Affinity Group Working Hours on alternating Mondays and Fridays, and WikiBase and WBStack Working Hours monthly. For exact dates, times, links to agendas, recordings of past group calls, and further information please see our project page at
https://www.wikidata.org/wiki/Wikidata:WikiProject_LD4_Wikidata_Affinity_Gr…
Communication:
Ld4-wikidata Google group: https://groups.google.com/d/forum/ld4-wikidata
#wikidata channel on LD4 Slack: http://bit.ly/ld4slack
Notes in public LD4 Wikidata Affinity Group folder: https://drive.google.com/drive/folders/1JwTulCABs0TkGQDVSnYbIYEb7bC-j4-n
Website: https://www.wikidata.org/wiki/Wikidata:WikiProject_LD4_Wikidata_Affinity_Gr…
On behalf of the LD4 Wikidata Affinity Group co-facilitators
Hilary Thorsen
Resource Sharing Librarian
Stanford Libraries
thorsenh(a)stanford.edu
650-285-9429
Hello,
You’re invited to make our images more accessible and discoverable:
https://meta.wikimedia.org/wiki/Special:MyLanguage/Image_Description_Week
Images on Wikipedia are used for more than just illustration, but less than
half of them are contextualized by a caption that relates the image to the
article, and only 10% have some form of alternative text (‘alt text’) that
describes the visual content of the image for people with low or no
vision. Our lack of image description not only limits the accessibility of
content on Wikipedia, it also reduces the ease with which our open access
images can be discovered through search.
*Tuesday*
- Miriam Redi will share her first impressions of the Wikipedia
Image/Caption Matching Challenge [1]
- Sandra Fauconnier will demo five easy tools to improve descriptions of
images on Commons
*Wednesday*
Michael Raish will share an evaluation of captions written as a newcomer
task [2]
*Thursday*
- Sudhanshu Gautam will introduce the Wikistories pilot [3] and invite you
to create your own image-led stories on the Beta Cluster
- Florence Devouard will describe the life of an image after it's uploaded
to Commons
- Sandra Fauconnier will show beginners how to use OpenRefine [4] to
describe batches of images on Commons
We hope you'll be inspired to include more image description in your own
contributions and campaigns.
Fiona
1.
https://techblog.wikimedia.org/2021/09/09/the-wikipedia-image-caption-match…
2.
https://www.mediawiki.org/wiki/Growth/Personalized_first_day/Structured_tas…
3. https://www.mediawiki.org/wiki/Wikistories
4. https://commons.wikimedia.org/wiki/Commons:OpenRefine
--
*Fiona Romeo* (she/her)
Senior Manager, GLAM & Culture
Wikimedia Foundation <https://wikimediafoundation.org/>
Hello,
The May campaign for 1Lib1Ref is starting soon!
Giovanna Fontenelle shared her goals for this round in a Diff post:
https://diff.wikimedia.org/2022/05/11/the-may-round-for-1lib1ref-is-back-wi…
In short:
- You are invited to decrease the *gender bias* on Wikipedia by adding
references written by people who identify as women.
- You can *customize Citation Hunt *with your own list of suggested
articles by clicking the 'Customize button' next to the language selector
at the top of the tool. You can then simply enter a list of articles.
https://w.wiki/5A6U
- We're hoping to add 12 *new languages* for this campaign and
particularly need translations for Assamese, Bihari, and Tagalog. If you
want to add another language to Citation Hunt, the process is documented
here: https://w.wiki/5A6V
AfLIA is leading its third *African Librarians Week* (#AfLibWk), with the
theme: “Strengthening African narratives on Wikipedia and sister projects”.
https://web.aflia.net/introducing-champions-for-the-3rd-african-librarians-…
And Wikimedia Argentina, Wikimedistas de Uruguay, and Wikimedia México are
organizing *#1bib1ref* over here:
https://es.wikipedia.org/wiki/Wikipedia:Encuentros/1bib1ref_2022
All the best,
Fiona
--
*Fiona Romeo* (she/her)
Senior Manager, GLAM & Culture
Wikimedia Foundation <https://wikimediafoundation.org/>
Hey folks!
I'm reaching out to invite all of you to a workshop on *Web2Cit on May 11
at 4 PM UTC*.
What's Web2Cit? Have you ever been trying to add a citation to Wikipedia
using the "Automatic" mode just to find that it keeps retrieving poor
results? For example, that newspaper that you frequently cite that can't
ever retrieve its name properly, or those documents at UNESCO's website
where automatic citation simply doesn't make sense.
Web2Cit aims to solve some of those problems without having users to fiddle
with Zotero translators or having a lot of technical skills.
We're inviting you to test the Early adopters version at a workshop that
will be held on May 11 at 4 PM UTC.
If you're interested, register here:
https://us06web.zoom.us/meeting/register/tZIpfu2upj4sE9ZrqblmM3-QujaeqekAAI…
If you want to know more about Web2Cit or the workshop, check here:
https://meta.wikimedia.org/wiki/Web2Cit/Workshops
We would also greatly appreciate it if you happen to know anyone that might
be interested in attending such a workshop and can handle some technical
complexity.
cheers,
scann