# Federated Data Federated Data refers to a decentralized approach to data management where disparate data sources are integrated without physically consolidating them into a single repository. This method allows entities to access and analyze data from various locations while maintaining control over their information. It supports collaborative efforts by enabling data sharing across organizational boundaries, thereby facilitating comprehensive analyses. In the context of data governance, federated data systems play a crucial role by enhancing data privacy through local data control. They also support collaborative analysis, ensuring that governance policies are consistently applied across distributed datasets, thus fostering trustworthy and compliant data practices. For more information about recent federated data research, please consult the following resources: * [WorldCat](https://search.worldcat.org/search?&offset=1&q=Recent+studies+about+data+and+data+governance+and+Federated+Data) * [Consensus](https://consensus.app/results/?synthesize=off&copilot=off&q=Recent+studies+about+data+and+data+governance+and+Federated+Data) * [Google Scholar](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Recent+studies+about+data+and+data+governance+and+Federated+Data) Our research team, partners, and the extended Network of the Datasphere have identified the following organizations working at the intersection of data or data governance and federated data. We recognize this is a dynamic field and would appreciate your help to [[contact our research team|improve]] this resource.