Submissions:2019/Wikidata Quicksheets
This submission has been noted and is pending review for WikiConference North America 2019.
Title:
- Wikidata Quicksheets
Theme:
- Inclusion and Diversity
+ Tech & Tools
Type of session:
- Workshop
Abstract:
This session will document the Art+Feminism Wikidata initiative. Over the last two years we have built tools and processes to generate a refined on focus list (P5008) of ~5000 Wikidata items from the 58,000 articles created or edited at past events. It took a large effort to build the systems and protocols to handle the data at scale (e.g. sorting items by occupation, etc). This talk will demonstrate our intention, process, some of the short term outcomes, and point towards future long term outcomes.
This is a training session to use Wikidata QuickSheets, a tool developed by Michael Mandiberg and Danara Sarioglu for the Art+Feminism Wikidata Initiative.
Wikidata QuickSheets semi-automates the process of moving data from Wikipedia to Wikidata. We have designed this tool to be accessible to those without programming experience. It uses simple article lists to generate spreadsheets for human evaluation. These sheets are then transformed back into QuickStatements ready data. The script requires no special libraries or dependencies, beyond what is available by default in basic python configurations.
- Repository: https://github.com/danaras/wikidata-quicksheets
Workfiles: https://www.dropbox.com/sh/xj64mcxrqtetywk/AAB9QWERoFfyO40klALol7xTa?dl=0
- Readme: https://docs.google.com/document/d/1Dk92oxm0ZYAb5YYTBD7O08fBoaRC7qD3ZWwpoNYq3o0/edit?ts=5b3bac99#
- Installing Python on Windows https://www.howtogeek.com/197947/how-to-install-python-on-windows/
Participants do not need to have programming experience, but need to have python installed on their computer. Chrome books don't allow you to do this. MacOS has it installed by default, and to install for Windows: https://tools.wmflabs.org/wikidata-todo/quick_statements.php
We will be covering how to use the tool to add P106 (Occupation) data from BLP data, and how to use it to add references to unsourced P172 (Ethnic Group) claims.
For more info, see: https://www.wikidata.org/wiki/User:Theredproject/2018_Workplan
Academic Peer Review option:
- No
Author name:
E-mail address:
- info
artandfeminism.org
Wikimedia username:
- Theredproject
Affiliated organization(s):
- Art+Feminism
Estimated time:
- 45-60m
Preferred room size:
- small, because it is not feasible to have more than 8-10 participants.
Special requests:
Have you presented on this topic previously? If yes, where/when?:
- We led one small training in NYC: https://outreachdashboard.wmflabs.org/courses/AF/Wikidata_QuickSheets_Training
If your submission is not accepted, would you be open to presenting your topic in another part of the program? (e.g. lightning talk or unconference session)
- Probably not.