1. ARCHIPELAGO Data Aggregation and Visualization for the Cultural Sector

2. [ahr-kuh-pel-uh-goh]

3. 4 FRAMING QUESTIONS Who is making art? Where is it happening? Who is engaging it? How is it supported? I searched Google Images for “grant” and this is what they gave me…

4. KEY AUDIENCES Grantmakers Arts advocates and service organizations Researchers Policymakers Artists & arts organizations Art nerds!

5. TYPES OF DATA

6. DATA COLLECTION PHILOSOPHY Emphasis on sustainability – Multipurpose data collection – Use secondary sources wherever possible – Leverage local knowledge and relationships Automate, automate, automate Broad, inclusive approach –Both arts organizations and arts-relevant organizations e.g., symphony orchestra vs. high school Note: There’s tension between the two!

7. ORGANIZATIONS Nonprofits and gov’t agencies (for-profits later) Sources: IRS/Guidestar, original research Supplemented by Cultural Data Project

8. SPACES Syndicated from Spaces application New York Bay Area Philadelphia Los Angeles Washington DC Minnesota Sacramento Atlanta Salt Lake City more coming…

9. AUDIENCES Mailing list co-ops e.g., Bay Area Big List Working with TRG on quasi-national data set

10. GRANTS Sourced from individual grantmakers Foundations, city, county, and federal agencies Working with Foundation Center for upcoming Sustainable Arts initiative

11. REGIONS Source: US Census Counties and cities Congressional districts State legislative districts Zip codes Census tracts Census block groups

12. INDICATORS Population by race, age, foreign origin, educational attainment, disability status Housing rent, home values, vacancy rate, homeownership Income median household, poverty rate, unemployment Transportation vehicles per household, public transit use Sources: US Census (2010), American Community Survey (2009), and Bureau of Labor Statistics

13. REPORTS AND VISUALIZATIONS

14. SAVED MAPS HELP TELL STORIES

15. SAMPLE BETA TEST PROJECTS Arts consultant Informed recommendations to client regarding impact of grantmaking program City arts agency Developed outreach for community-wide cultural plan Discovered burgeoning media arts community “barely touched” by current funding City office of economic development Assisted with planning process for cultural district Foundation Pinpointed opportunities for municipal investment to support cultural activity (e.g., transit, retail, etc.) plan Identified appropriate venues at which to present workshops in outlying counties

16. WHAT’S NEXT? New analytical capabilities Longitudinal analysis Cross-regional comparisons Standard metrics and benchmarks Scenario planning tools

17. WHAT’S NEXT? New data sets Fiscally sponsored organizations/projects For-profits / creative economy businesses e.g. music clubs, independent bookstores Events and activities

18. WHAT’S NEXT? New advocacy capabilities Campaign organizing tools Issue tracking

19. WHAT’S NEXT? Free, public, national version Limited data sets (e.g., no CDP) Premium accounts for funders, etc.