OpenOakland Oakland Art Murmur collaboration
Join the slack channel: #dos-oakartmurmur Project lead: Andrew Guenthner (slack: @Andrew Guenthner, or [email protected]). Project partner: Oakland Art Murmur (oaklandartmurmur.org)
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To run and test the scraping code, you need to obtain an API key from Mapbox. Your key needs to be placed in your local copy of the config.js file. Please, if you push to Github, make sure your key is not published by changing config.js back to "YOUR_API_KEY_HERE"
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We are currently tracking issues on the GitHub issues page. Please check there to see what specific tasks are needed, and please feel free to create a new issue if you notice some work that needs to be done.
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Running the scraper will take about 10 minutes, so, if you want to test extensively, consider using a finite loop with just a few iterations, rather than the over 600 needed to collect all the data.
You can:
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Communicate project information with non-technical users (this is our greatest need -- to show and explain what we can do)
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Organize, teach, and train others at our data gathering events
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Contribute data -- add a photo, or check a geo-location
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Help us give credit -- do some sleuthing to help us verify the identity of artists and data providers, amd make sure we are properly recognizing them
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Advocate for beauty in your own neighborhood
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Develop new tools that share Oakland's beauty with everyone here. These include:
- Geo-data processing tools
- Data scraping tools
- Web apps to automate processes
- Web site plug-ins (WordPress especially)
- Video tutorials to guide volunteers in organizing and maintaining data
- Written documentation that describe processes for organizing and maintaining data
Some specific items we are working on right now:
- Updating a web scraper to provide more detailed information about murals
- Documenting and demonstrating a workflow to update marker maps with art gallery categorical data
- Building and deploying demonstration maps for future Oakalnd Art Murmur web sites
You can learn more about some of the above by looking through this repository. We try to make our code extremely well-commented so that anyone, at any level, can see how it works. If you are not sure how you can help, just ask.
If you are a "beginner", "just want to learn", "not an experienced coder", or "not sure how to do it", then we especially would like you to be on our team! The project leaders will be happy to help you use our work as a learning opportunity!