
Starting in January 2025, the US data landscape underwent dramatic changes. Threats to federal funding—and by extension, federal datasets—prompted urgent preservation efforts. What began as hurried Slack conversations, a rapidly expanding Google Doc, and last-minute meetings, quickly evolved into the Data Rescue Project. As an independent coalition of data librarians, scientists, journalists, and anyone passionate about data preservation, our group has flourished over time, bringing with that growth a distinctive set of challenges. We are navigating the tension between urgency and expansion versus deliberate and sustainable approaches. We have sought to balance the project’s potential with our capacity, learning when to decline requests, direct inquiries to other resources, or dive in wholeheartedly. In this presentation, attendees will discover not only the work of the Data Rescue Project, but also how we have integrated intentional, sustainable methodology into our efforts—including our successes and areas for continued improvement.
rapid response data collection, Slow librarianship
rapid response data collection, Slow librarianship
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
