Spam detection software, running on the system "avery.infomotions.com", has identified this incoming email as possible spam. The original message has been attached to this so you can view it or label similar future email. If you have any questions, see eric_morgan_at_infomotions.com for details. Content preview: Hello, everyone – Over the summer and into the early fall the LD4 Wikidata Affinity Group<https://www.wikidata.org/wiki/Wikidata:WikiProject_LD4_Wikidata_Affinity_Group> will be 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. [...] Content analysis details: (1.4 points, 0.5 required) pts rule name description ---- ---------------------- -------------------------------------------------- -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% [score: 0.0000] 3.0 SINGLE_HEADER_3K A single header contains 3K-4K characters -0.0 SPF_HELO_PASS SPF: HELO matches SPF record -0.0 SPF_PASS SPF: sender matches SPF record 0.0 T_HEADER_FROM_DIFFERENT_DOMAINS From and EnvelopeFrom 2nd level mail domains are different 0.2 HEADER_FROM_DIFFERENT_DOMAINS From and EnvelopeFrom 2nd level mail domains are different -0.6 RP_MATCHES_RCVD Envelope sender domain matches handover relay domain 1.6 DATE_IN_PAST_03_06 Date: is 3 to 6 hours before Received: date -1.0 MAILING_LIST_MULTI Multiple indicators imply a widely-seen list manager
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Hello, everyone – Over the summer and into the early fall the LD4 Wikidata Affinity Group<https://www.wikidata.org/wiki/Wikidata:WikiProject_LD4_Wikidata_Affinity_Group> will be 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 second Wikidata Working Hour in the series will cover reconciliation in OpenRefine, so we can identify which authors from our spreadsheet of children's book metadata already exist and/or need to be created in Wikidata. You do not have to have attended the first Wikidata Working Hour<https://www.wikidata.org/wiki/Wikidata:WikiProject_LD4_Wikidata_Affinity_Group/Wikidata_Working_Hours/2022-July-8_Wikidata_Working_Hour> in the series to attend this one. However, for this Working Hour, we will assume that you already have OpenRefine installed and can import data into it, so it may be helpful to review the recording of the previous Working Hour<https://stanford.zoom.us/rec/share/YMEhG2vvbWdNKam8xnI9rXeX4jNwCkaAyNEz3ssstTVhr4cqaauLfQEzaJIE7JXg.JZN0H_2PM62PmMHg?startTime=1657299118000>. Date and time: Monday, July 18, 2022 at 11:00am PT / 2:00pm ET / 18:00 UTC / 8:00pm CEST (Time zone converter<https://zonestamp.toolforge.org/1658167226>) Zoom link to join: https://stanford.zoom.us/j/98942484954?pwd=TXJoeW9oNys3NFd6blBBZDg2UDdpdz09 Password: 908110 Event page: https://www.wikidata.org/wiki/Wikidata:WikiProject_LD4_Wikidata_Affinity_Group/Wikidata_Working_Hours/Wikidata_Working_Hour_Summer-Fall_Project_2022/2022-July-18_Wikidata_Working_Hour To get the most out of this Working Hour, please install the most recent version of <https://urldefense.proofpoint.com/v2/url?u=https-3A__openrefine.org_&d=DwMFaQ&c=WO-RGvefibhHBZq3fL85hQ&r=ZKZdijZcvSwDlmLpUMf9GVdOigjGjnqPOHQla31EGfM&m=GdaXTwn1pYwERet5rE25yMixZ1bT6YZUyRe7D9wrxfQ&s=CJuXHW5Ov3xG1ThAwMWlVGXqe_QsgRJgtQLP-ANCzPY&e=> OpenRefine<https://openrefine.org/> in advance. Detailed installation instructions here:https://docs.openrefine.org/manual/installing Subsequent Working Hours will cover creating and editing items manually in Wikidata for authors, publishers, and bibliographic works and editions, uploading batch metadata to Wikidata using OpenRefine and Quickstatments, and using 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<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_Group We hope to see you there! Susan Radovsky Harvard LibraryReceived on Fri Jul 15 2022 - 07:51:19 EDT