The Data Rescue Project, a grassroots initiative formed during the Trump administration, aims to preserve essential US government datasets that are at risk of deletion. Volunteers, including librarians and programmers, dedicate up to 40 hours a week to archive critical information on climate change, public health, and social issues. As of late April, they have successfully archived over 3,000 items from various federal agencies, which have been downloaded more than 18,900 times from their public repository, DataLumos, hosted by the University of Michigan. The project emphasizes that public data should be treated as a public good, similar to infrastructure like roads and bridges. Volunteers not only save datasets but also create metadata to ensure the information is discoverable and usable. The initiative has sparked a larger movement advocating for public data preservation, with over 20 groups now involved in similar efforts. This collective action reflects a growing recognition of the importance of accessible government data in shaping informed policy and public awareness.