More specific feedback which was received during some community calls with Commons and Wikidata contributors has furthermore highlighted the following:
Increasing support for Wikimedia Commons
We saw lots of engagement during two dedicated sessions about Wikimedia Commons. Many people highlighted practical issues around upload tools and the need for more consistent technology support.
People spoke about the need to create a more welcoming experience for newcomers, with more intuitive tools and tutorials. “We have too much trust in people finding the trust and the support they need to be able to contribute meaningfully.”
We learned about the nuances and risks of making it easier to upload images to Wikimedia Commons given some of the recent history.
These conversations also highlighted the need for future movement conversations around what Commons should and should not do and its role within the larger Wikimedia ecosystem.
This page will cover updates related to any work that addresses the priorities highlighted above, no matter who's behind it.
Please feel free to use the talk page to start related conversations.
OpenRefine: The application period for the OpenRefine Train-the-Trainer program has closed. This initiative aims to build capacity for training Wikimedians, organizations, and partners in the Wikimedia movement to use OpenRefine’s Wikimedia functionalities. The program, running from November 2023 until April 2024, received over 80 applications, resulting in a regionally representative cohort of 16 individuals. Learn more at the OpenRefine Train-the-Trainer Program page.
Commons Impact Metrics: A project aimed at providing a scalable, reliable data products that address the community's metrics needs, enhancing the understanding of the impact of contributions to Wikimedia Commons, particularly for GLAMs and other movement participants.
Upload Wizard Improvements: A project aimed at enhancing the user experience of the Upload Wizard, focusing on design improvements and minimizing the risk of media uploads that could lead to deletion requests.