Back to Apply Breadcrumb Home Apply Goal #7: Make Informed Decisions About Funding, Research, and Programs Essential Questions Funders, advocacy organizations, and community-based organizations can use our Essential Questions Guide for step-by-step guidance on identifying essential questions that matter most to your organization or community. Indicators Funders and researchers might be particularly interested in advancing research and development for new or evolving measures. Download our Indicator Readiness Brief to view the E-W Framework indicators categorized into three levels of readiness for adoption: well-established (high readiness), evolving (medium readiness), and emerging (low readiness). Disaggregates Researchers and community-based organizations can explore Disaggregates In Depth for guidance on how to analyze disparities and avoid potential pitfalls when disaggregating data. Evidence-based Practices Funders and community-based organizations can explore Evidence-Based Practices In Depth to learn more about what evidence-based practices are and how to select them. The E-W Framework highlights 26 example practices that research shows can move the needle on key student outcomes and milestones and related system conditions. You can filter the framework’s 26 evidence-based practices by sector, as well as generate a personalized, downloadable packet of related by selecting “Personalize Your Resource Packet" once you have selected a filter. Example Equitable Data Practices Review our Data Equity Checklist to self-assess whether your data project adheres to best practices for using data ethically and effectively.Collaborate with communities to select, implement, and make any necessary adaptations to evidence-based practices that can help improve outcomes and fit the needs of the community (Data Equity Principle 4).Recruit community members to participate in initiative teams or advisory councils tasked with determining the highest-priority essential questions. Use facilitation methods that promote equitable participation (Data Equity Principle 7).