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Learn how to help nonprofits or projects understand and manage their data needs.
Anyone who is interested in helping nonprofits with their data analysis needs. This challenge, uses the real needs of the Ozone House, acommunity-based, nonprofit agency that helps young people lead safe, healthy, and productive lives through intensive intervention and prevention services. We'll work through the different types of data needs, sources, and how to organize them accordingly. This challenge works participants through a series of analysis questions based on questions from the Ozone House to make a data needs assessment. This allows organizations, nonprofits, and those interested in volunteering to help these organizations with their data needs create plans of action.
One Time Data Need: This is something you can do at the Data Dive. There is no need to worry about reproducibility or the organization's access to tools or know-how.
Recurring Data Need: A recurring data need would involve data that is continually updated or requires new analysis depending on changing conditions (this could be daily, monthly or even yearly). When making recommendations about recurring data needs the most important thing is to make sure any process you suggest is realistic to implement by the organization
2 Data Sources
Internally Produced: Data produced as a byproduct of normal operations (e.g. Intake surveys, server logs, financial information) or data produced as part of regular reporting (e.g. Annual Survey). This may be a place that you can recommend structures and organization schemes that may be helpful (we will talk more about that in the second Data Jam)
Externally Produced: Data produced by other organizations that is often publicly available. This would include anything from state or local information to Census Data and beyond.
Internally Produced Data
Externally Produced Data
One Time Data Need
Use whatever tools you like
Still document your methodology
Consider that it may become recurring
Think about how their collection impacts your analysis (random samples)
Research!
Use whatever tools you like
Document sources, tools and methodology
Recurring Data Need
Think about the organization and collection of data. Does it lend itself to analysis?
What are the costs and benefits of gathering more data?
Focus on creating a reproducible process rather than on actual data
Be aware of what resources are available to the organization
