It sounds like a great project and is perfect for GSoC! We ran out of slots for Outreachy this year, but with GSoC, there is no limit. The only thing that I'd like to ensure is that there is at least one mentor in your team with a technical background. It would also be helpful to clarify more what you mean by "external media repositories". Could you share some examples perhaps? Same for the intended workflow, could you give one example of reading media, contributing to Commons, and then pulling it back in Wikidocumentaries (if I got the flow right)? A bit more visual explanation might be helpful here.

After your conversation w/ Platform Product folks, as shared in the email:

• Make any necessary changes to the proposal
• Add it here: https://www.mediawiki.org/wiki/Google_Summer_of_Code/2023#Ideas_for_projects
• Share via Wikitech by replying to this thread: https://lists.wikimedia.org/hyperkitty/list/wikitech-l@lists.wikimedia.org/thread/BYHSBZGGBGZ7S75HU7MQVI34RLMMQ7ER/

If it is your first time mentoring via GSoC, you could read through this guide https://www.mediawiki.org/wiki/Google_Summer_of_Code/Mentors :) Once we have a final list and we get accepted as an organization, I'll add you to our Zulip chat w/ fellow mentors for continuous support.

Thank you for the encouraging feedback!

@TuukkaH is the lead developer for the project, and he has agreed to mentor the intern. In addition, we are seeking to have a support network to assist with questions related to the MediaWiki platform and the Wikimedia Cloud environment.

In regard to the workflow:

There is existing code that reads openly licensed media for a given Wikidata item from open repositories through their open APIs and formats the input to be displayed on Wikidocumentaries. We have kept the code for the Finnish national aggregator for GLAM materials Finna most up-to-date, but the same scenario applies to other similar repositories. These could be for example Europeana, Internet Archive, Flickr and many others around the world. There are several aggregators of open content that consolidate input from the different sources in the same way, and they could be used instead or additionally.

When the images are presented in a Wikidocumentaries page for a given topic, we have the data about the topic from Wikidata and the metadata for the image from the institution. In the simplest scenario, the user chooses an image that correctly represents the topic they are browsing, and uploads the image to Wikimedia Commons in a single click. There are many false hits in the results, so it needs to be taken into account.

Based on the data available from Wikidata, the image can be placed in a correct category in Wikimedia Commons and Structured Data on Commons statements can be added to it, at minimum the "depicts" statement stating that the image depicts the Wikidata topic in question, the same topic that is the topic of the Wikidocumentaries page.

Once the image is in Wikimedia Commons, the image metadata can be manipulated and enriched in many ways. If there's time and based on the intern's interests, some of these opportunities can be explored.

The images below display the simple user interaction in the workflow. It displays the image section for images that have been read from repositories outside Wikimedia Commons.

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This YouTube video was made for WikidataCon 2021: https://www.youtube.com/watch?v=RVymVs6Avek&t=1s

@Susannaanas
Hello, I am Bessong and Interested in contributing on this project for GSoC.
I absolutely want to be part of this community and have setup a development environment for the project, So please I need someone guide to participate?.

@Juniorbesong8: Hi and thank you for your interest! Please check the red box at the top of this page and thoroughly read all its links. Thanks a lot!

Hello @Aklapper Thanks will just do that.

Hi, i am Naomi and i am interested in this project for GSoC
I have my environment set up for the development of this project and i really do wish to be part of this community. so i will really wish to be guided

I plan to work on this project at the Wikimedia-Hackathon-2023 and it seems relevant here: T335910: Improve Structured Data on Commons data models (and their documentation) as a basis for Lua Infobox templates

Basically, I want to help improve data modeling conventions on Commons so that batch upload (with combined SDC and Wikitext) becomes more simple, benefitting any batch tool/process.

Feedback will be very welcome!

At this moment, I'd be interested to see which types of images / files would be typically (most often) be uploaded to Commons, so that data modeling for these can perhaps be prioritized. I assume (looking at the screenshots above) that's mainly historical photographs?

Here are some outstanding issues that we have detected. They can be any kind of observations, not necessarily something that the internship was meant to cover.

• All of the metadata can be displayed in the upload popup.
• Newly added and missing information must be added to SDC.
• Style fixes needed: The modal disappears when focus is lost. The modal from the ImageViewer inherits some styles from the containing menu (white text, right-align). The disappearing modal is caused by a similar issue.
• Text editing needs to be made possible for text fields
• Original value from the institution also added to Wikidata as a qualifier

T346117

• The value of the page topic might be best suited for depicts / creator / location. The user should be able to choose.
• The value of the page topic may be wrong. The user should be able to remove or change that. The workflow and interface needs to be xplored, many options.

Hi! Please consider resolving this task and moving any pending items to a new task, as GSoC/Outreachy rounds are now over, and this workboard will soon be archived.