As the demand for accessible, high-quality data continues to grow, open access repositories play a critical role in supporting transparency, collaboration, and scientific discovery. Traditional repositories provide access to data but often lack the tools for visualization, integration, and applied analyses that are necessary for effective resource management and restoration planning. Addressing these gaps, Sea Turtle Atlas (STA) was developed as part of Deepwater Horizon restoration of injured sea turtle populations in the Gulf of America. STA is a curated interdisciplinary data system that integrates biological, environmental, and anthropogenic datasets. Built with input from subject matter experts and aligned with federal restoration priorities, this repository emphasizes geospatial visualization, interactive dashboards, and analytical tools that lower barriers to access and expand usability across research, management, and policy communities. STA incorporates interoperability, user-specific access controls, and embedded GIS-based analytical workflows, which allow stakeholders to perform customized analyses directly within the platforms without requiring raw data downloads. By leveraging FAIR (Findable, Accessible, Interoperable, Reusable) data principles within a cloud GIS ecosystem STA demonstrates how ocean observing data can be mined, integrated, and disseminated through interactive interfaces, bridging the gap between raw datasets and actionable insights. In doing so, this project advances restoration and conservation in the Gulf of America while offering transferable lessons for data-driven, user-centered platforms that support decision-making across domains.