Wikidata:WikiProject LD4 Wikidata Affinity Group/Wikidata Working Hours/2023-December-18 Wikidata Working Hour

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December 18, 2023 Wikidata Working Hour[edit]

Monday, December 18, 2023 at 10:00am PT / 1:00pm ET / 18:00 UTC / 7:00pm WAT / 7:00pm CET (Time zone converter)

Logistics[edit]

Zoom link to join:

Password:

Recording[edit]

View recording: https://stanford.zoom.us/rec/share/u1S_dNKKZ51LLyDtS91QDS3FRtPaGERwN-dc0jtUqLUBU8lMT5oOiWJo4GNJrzvG.KOt85p6b5N7JcjV-

If you wish to download the files, you can use the "Download (4 files)" link on the upper right of the page linked above.

Collaborators[edit]

Co-Lead: Alexandra Wong, Hilary Thorsen

Chat Monitor: Anna Ayoung-Stoute

Event page: Maggie Zhao

Event dashboard: Maggie Zhao

Series Coordinators: Alexandra Wong, Hilary Thorsen, Susan Radovsky

Metrics[edit]

Login to the Event Dashboard with your Wikimedia account to keep track of your edits today

Survey[edit]

We hope you have been enjoying our Wikidata Working Hour series on adding data about LIS (Library and Information Science) materials to Wikidata. If you've been able to participate, we'd love your feedback and invite you to fill out a brief survey by December 22nd: https://forms.gle/hAGsBx4GcSXi4f726

Background[edit]

Starting in August and running through December, 2023, we will be assembling a data set of diverse LIS (Library and Information Science) materials (articles, conference proceedings, books) and adding it to Wikidata during a series of Wikidata Working Hours. Each event will provide an opportunity to try out different Wikidata-related skills and tools while working with a finite dataset. Topics covered in the Working Hours will include: assembling a bibliography, exporting articles and books from Zotero into QuickStatements, webscraping for data in the PAWS environment, adding authors and publishers manually into Wikidata, batch editing using OpenRefine, batch editing using the LINCS tool, using the Author Disambiguator tool, and analyzing and visualizing data with SPARQL and Scholia.

The ninth Wikidata Working Hour in the series will cover querying and visualizing the data we have added to Wikidata using SPARQL and Scholia.

Citation Politics[edit]

The ethos of the Working Hour series centres around citation politics and the environmental factors that encourage gaming citation practices.

As feminist scholar Sara Ahmed writes, "I would describe citation as a rather successful reproductive technology, a way of reproducing the world around certain bodies.... The reproduction of a discipline can be the reproduction of these techniques of selection, ways of making certain bodies and thematics core to the discipline, and others not even part."

On the racial politics of citation, Victor Ray states, "Citations draw our attention to the ideas that supposedly matter, they are a measure of one’s intellectual influence and they shape what we are able to think about a given field. Citations, or a lack thereof, bolster reputations and facilitate or exclude one from subsequent opportunities."

Citation Politics, a term I prefer to reframe as the "Citation Game," extends beyond the existing discourse. This phrase better encapsulates the dynamics among scientists regarding referencing and citing each other's work; this phenomenon has taken a troubling turn with a rising prevalence of biases. Nowadays, the lines between constructive referencing and manipulation blur as journal reviewers overtly request authors to include citations in their papers; manipulation of citations has evolved into a strategic tool aimed at inflating the Impact Factor of publications, which becomes intertwined with university rankings, addressing this issue necessitates a rigorous investigation to enhance the integrity and quality of scholarly contributions in the realm of citations. -- Dr. Manju Naika

We invite reflection and action on how Wikidata, as a linked open database with ties to search engines and Wikipedia and with querying and visualization with SPARQL and Scholia, might help diversify who and what gets cited in the field of LIS.

About Wikidata Query Service with SPARQL[edit]

Scholia[edit]

Data Visualization with Wikidata[edit]

Data visualization of SPARQL queries results in Wikidata by Andrea Mignone

Possible display views on Wikidata query service

Services and Tools

Visualizations of our added/edited Wikidata items[edit]

To create visualizations focused on the Wikidata items we created, we have added the property "On focus list of Wikimedia project", P5008, to items tracked via our Google spreadsheet or dashboards. If you know you edited items for the series that do not have this statement, please go ahead and add it manually!

SPARQL query examples and results

List of items with On focus list of Wikimedia project = LD4 Wikidata Working Hour - EDI LIS publications - How many did we create?

What kinds of items (instance of) did the LD4 Wikidata Working hours collectively create?

What are the most common years of publication?

We can also visualize our SPARQL queries in RAWGraphs: https://app.rawgraphs.io/ 

 SELECT ?item ?year WHERE {
   ?item wdt:P5008 wd:Q123856122;
     wdt:P577 ?publicationdate.
   BIND(YEAR(?publicationdate) AS ?year)
   SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". }
 }

Resources[edit]

  • Today's Working Hour is part of a special series of sessions involving a single data set. You don't have to attend every session to be part of the project, but you can find details about the whole series here.
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