| Popis: |
This chapter opens by explaining that developing a shared data system is a natural extension of multi-sector work, though it is both an accelerator and a pain point for many initiatives. As multi-sector initiatives proliferate, the chapter argues, lessons of what works and what doesn't are being learned, and those lessons have much to offer to communities in the earlier stages of sharing data. As a result, several national initiatives and funders have joined together to form All In: Data for Community Health, a learning network of communities across the United States that are testing and evaluating new ways to transform health through multi-sector partnerships to share data. The chapter presents advice from this experience. |
