nonprofit-data-strategy

To map nonprofit activities to NYC open data, this skill identifies organizational needs and matches them to relevant public datasets. It uses top-down and bottom-up dataset discovery to produce actionable artifacts for advocacy and program design.

A nonprofit data strategy maps organizational activities to relevant datasets and identifies data gaps. You need it when planning advocacy, program design, or policy work and require actionable artifacts drafted from public data sources.

Yes, you can draft data requests for missing NYC open data. When dataset discovery identifies gaps, the skill supports drafting formal data requests to submit to the NYC open data portal for missing information.

You run a quick 15-minute data mapping session by using Quick mode, which covers phases 0 through 2 to perform a rapid mapping sprint. This mode outputs initial dataset mappings without drafting full end-to-end artifacts.

Yes, the data strategy workflow supports live verification of NYC open data. It includes optional browser-extension-assisted live data verification and portal submissions to confirm dataset relevance and accuracy during artifact drafting.

Quick mode runs phases 0 to 2 for a 15-minute mapping sprint, while Deep mode runs all phases over 1 to 2 hours to deliver finished, actionable artifacts. Deep mode includes end-to-end drafting and data request generation.