Remote Curriculum:
Data Assessment for Nonprofits Before AI Implementation
Overview
This curriculum guides nonprofit teams through a thorough data assessment process using Zoom for live instruction and Jotform for interactive exercises. The goal is to help nonprofits evaluate their data readiness and lay a solid foundation for responsible AI adoption.
Core Curriculum Structure
Weekly Zoom sessions with screen sharing and Q&A
Practical assignments using Jotform and data management tools
Step-by-step checklists and templates
Key Topics Covered
Understanding Data Assessment: Why it matters
Identifying and cataloging your data sources
Assessing data quality, completeness, and relevance
Evaluating data privacy, security, and compliance
Mapping data to organizational goals
Identifying gaps and opportunities
Creating a data improvement action plan
Sample Weekly Breakdown
WeekTopicTools UsedOutcome1Introduction to Data AssessmentZoom, JotformUnderstand the data assessment process2Data Inventory: What Do You Have?Jotform, ExcelCatalog all data sources and types3Data Quality & Relevance CheckJotform, Google SheetsAssess accuracy, completeness, and usefulness4Data Privacy, Security, and ComplianceJotform, Policy TemplatesIdentify risks and compliance needs5Aligning Data with Mission & GoalsJotform, Whiteboard ToolsMap data to strategic objectives6Gap Analysis & Data Improvement PlanningJotform, Google DocsCreate an actionable improvement plan7Review & Preparing for AI ImplementationAllFinal assessment and readiness checklist
Session Details
Week 1: Introduction to Data Assessment
Why data assessment is critical before AI
Overview of the curriculum and expected outcomes
Week 2: Data Inventory
How to identify all data sources (donor lists, program data, surveys, etc.)
Using Jotform to create a data inventory form
Week 3: Data Quality & Relevance
Checking for completeness, accuracy, timeliness, and consistency
Identifying which data supports your mission
Week 4: Privacy, Security, and Compliance
Understanding data privacy laws (GDPR, HIPAA, etc.)
Assessing current data protection measures
Week 5: Aligning Data with Mission
Linking data assets to organizational goals
Identifying key metrics and data gaps
Week 6: Gap Analysis & Improvement Plan
Using Jotform to collect team feedback on data needs
Drafting a plan to improve data quality and fill gaps
Week 7: Review & Readiness
Final checklist: Is your data ready for AI?
Next steps for responsible AI implementation
Best Practices
Involve staff from different departments for a holistic view
Document everything for transparency and future reference
Prioritize data privacy and ethical considerations
Update your data inventory regularly
Conclusion
By completing this data assessment curriculum, nonprofits ensure they have a clear, accurate, and ethical understanding of their data landscape-setting the stage for successful and responsible AI adoption tailored to their organizational needs.