Hi, everyone --


The LD4 Wikidata Affinity Group<https://www.wikidata.org/wiki/Wikidata:WikiProject_LD4_Wikidata_Affinity_Group> has been offering a series of Wikidata Working Hours<https://www.wikidata.org/wiki/Wikidata:WikiProject_LD4_Wikidata_Affinity_Group/Wikidata_Working_Hours> to give folks an opportunity to try out various Wikidata-related skills and tools by adding data about diverse children’s books<https://ccbc.education.wisc.edu/literature-resources/ccbc-diversity-statistics/> from the Cooperative Children’s Book Center at the University of Wisconsin, Madison to Wikidata. Wikidata Working Hours provide hands-on Wikidata experience in a supportive space. We hope you will join us if you are interested in learning more about Wikidata, love children’s books, or have been looking for a fun Wikidata project to contribute to.


The ninth Wikidata Working Hour in the series will be batch loading data using QuickStatements to create items for works and editions in Wikidata.


You do not need to have attended the previous Wikidata Working Hours in the series to attend this one. If you would like to review any of the recording/material from the previous sessions, you can access the event pages on our series project page<https://www.wikidata.org/wiki/Wikidata:WikiProject_LD4_Wikidata_Affinity_Group/Wikidata_Working_Hours/Wikidata_Working_Hour_Summer-Fall_Project_2022#Past_Wikidata_Working_Hours>.


Date and time: Monday, October 24, 2022 at 11:00am PT / 2:00pm ET / 18:00 UTC / 8:00pm CEST (Time zone converter<https://zonestamp.toolforge.org/1666634427>)

Zoom link to join: https://stanford.zoom.us/j/94182852296?pwd=LzlncHJTOU1ubTMveWxFcXl0WjM5Zz09

Password: 979854

Event page: https://www.wikidata.org/wiki/Wikidata:WikiProject_LD4_Wikidata_Affinity_Group/Wikidata_Working_Hours/Wikidata_Working_Hour_Summer-Fall_Project_2022/2022-October-24_Wikidata_Working_Hour

Our next and final Working Hour in the series will use SPARQL to query and visualize the data we’ve added to Wikidata. You don’t have to attend every session to benefit from the series, but attending whenever possible will offer the best experience in terms of applying skills and tools to a single data set. We’ll also record the demo portions of each Working Hour, so you can always catch up on anything you miss.


To be sure to receive announcements about future Wikidata Working hours, subscribe to the ld4-wikidata Google Group<https://groups.google.com/d/forum/ld4-wikidata>.


Other ways to follow what’s going on with the Affinity Group:

Ld4-wikidata Google group: https://groups.google.com/d/forum/ld4-wikidata

#wikidata channel on LD4 Slack: <http://bit.ly/ld4slack> https://ld4.slack.com/

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_Group


We hope to see you on Monday!



Susan Radovsky

Metadata Management Program Coordinator

Harvard Library