全球智库信息集成服务系统

Any organization that collects, analyzes, or disseminates data should establish formal systems to manage data responsibly, protect confidentiality, and document data files and procedures. In doing so, organizations will build a reputation for integrity and facilitate appropriate interpretation and data sharing, factors that contribute to an organization’s long-term sustainability.

To help groups improve their data policies and practices, this guide assembles lessons from the experiences of partners in the National Neighborhood Indicators Partnership network and similar organizations. The guide presents advice and annotated resources for the three parts of a data governance program: protecting privacy and human subjects, ensuring data security, and managing the data life cycle. While applicable for non-sensitive data, the guide is geared for managing confidential data, such as data used in integrated data systems or Pay-for-Success programs.