Why Data Sharing is Important to Increasing Funding-Why Data Sharing is Important to Increasing Funding

Why Data Sharing is Important to Increasing Funding

Pdf Summary

The document highlights the significance of data sharing in securing increased funding for various initiatives, particularly within community programs addressing housing and health challenges. Kristina Clark and Kim Linkel from KM Clark Consulting Group discuss how data transparency and collaborative efforts can lead to enhanced credibility, better decision-making, and successful funding applications.

Key points include:
- <strong>Benefits of Data Sharing:</strong> Sharing data demonstrates the need and impact of programs, fostering collaboration and partnerships while enhancing transparency and accountability.
- <strong>Types of Data:</strong> The text identifies quantitative data (e.g., surveys), qualitative data (e.g., interviews), and archival/administrative data (e.g., service utilization records) as vital for effective data sharing.
- <strong>Key Stakeholders:</strong> It emphasizes the need to identify stakeholders such as government agencies, funders, and service providers who need the data, which can help form partnerships.
- <strong>Data Analysis for Decision-Making:</strong> Using trend, comparative, and predictive analyses can strengthen funding strategies by providing evidence-based insights into community needs.
- <strong>Sustainable Partnerships:</strong> Successful partnerships are built on trust, transparency, and shared objectives, crucial for sustained collaboration.
- <strong>Collaborative Funding Proposals:</strong> Data sharing leads to more compelling funding applications by demonstrating a holistic view of interconnected issues, like how mental health impacts housing stability.
- <strong>Cross-Sector Collaboration:</strong> A structured approach involving diagnosis, design, implementation, and assessment can improve problem-solving through collaboration, supported by data-sharing.
- <strong>Visualizing Data:</strong> Effective storytelling through data visualization helps communicate complex information to stakeholders, enhancing engagement and understanding.

Ultimately, the document advocates for a strategic approach to data sharing and partnerships to address community issues and improve service impact, aligning efforts for collective impact and maximum funding potential.

Keywords

data sharing

funding

community programs

housing

health challenges

collaborative efforts

stakeholders

data analysis

partnerships

data visualization