WMF GLAM report
#1lib1ref, Structured Commons Research, and Blog Highlights
Help us identify program leaders!
Every year, the Wikimedia Foundation runs a survey, called the Community Engagement Insights survey, which asks community members to give feedback on the Wikimedia Foundation’s work. The survey focuses on different audience groups, one of them being community organizers and program leaders who organize activities, outreach, and other programs in the areas of GLAM, Education, Diversity, Gender, STEM, and others.
We want to get in touch with program leaders who aren’t already connected to the Wikimedia Foundation or haven’t attended major Wikimedia movement events (like Wikimedia Conference or Wikimania). By filling out this survey, program leaders become part of our global feedback network and will have a chance to offer feedback on Wikimedia Foundation’s work to support our communities.
If you would like to be part of these feedback opportunities, please fill out this short survey: https://wikimedia.qualtrics.com/jfe/form/SV_3mmeBPdVXfCOhlr
If your local community has a mailing list or social media channel or you know an organizer who like didn’t see this message, please share it and encourage participation in the survey.
#1lib1ref is coming
It’s #1lib1ref season! Remember to remind and engage your local librarians to participate in the campaign which lasts from January 15- February 3! Remember #1lib1ref can be done in any language and its simple: encourage librarians in your local context to contribute. Learn more about the campaign at: http://1lib1ref.org.
If you need help supporting the campaign, contact astinsonwikimedia.org.
Initial findings for Structured Data on Commons Research
Wikimedia Commons upload tools used by GLAMs
Reasons why specific Commons upload tools are used by GLAMs
As part of the Structured Data on Commons project, WMF teams are working on various research projects, of which a few have been finalized in the last months of 2017. Here are the highlights:
- GLAM uploads to Commons
Draft findings from the GLAM research as part of Structured Data on Commons has been published on Meta. The research highlights the challenges that GLAM professionals and Wikimedians supporting them face when doing uploads to Commons. The project confirms a lot of assumptions, and anecdotal evidence that the WMF GLAM team had been collecting as part of the Structured Data on Commons process, but also provides some targeted feedback and a body of evidence for strengths and weaknesses in the workflow that we were anticipating.
Highlighted issues in the research are:
- Read the full report: Supporting Commons contribution by GLAM institutions. You can also watch a 36-minute YouTube video in which Jonathan Morgan presents the research results. We plan to organize more public presentations of this research!
- Baseline metrics for Wikimedia Commons
The Structured Data on Commons project has also investigated the different ways in which Commons can be evaluated in the future. The goal of the research is to identify additional baseline metrics for Structured data on Commons team to evaluate and think about the impact of their work.
- Read the full report: Baseline Metrics for Structured Data on Wikimedia Commons
- Prioritization of tools for GLAM, Wikimedia Commons, and Wikidata
Additionally, Sandra led an AllOurIdeas poll to find out which tools are relied on heavily by the broader Commons and Wikidata communities, in order to help decide which ones are critical for integrating into product development decisions as part of the grant or future Commons development.
- See the results on AllOurIdeas
From the WMF Blog
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