In progress
Biomedical and life sciences research depends on preserving valuable data, even when resources are no longer actively maintained. This issue paper explores data hibernation as a potential way to reduce operating costs while keeping data available for future recovery and reuse. It examines best practices and the technical, operational, and governance considerations involved in making data hibernation part of long-term data resource management.
Statement of Task
The National Academies of Sciences, Engineering, and Medicine's Initiative for Resilient and Enduring Data Infrastructure for Biomedical and Life Sciences Research and Innovation (REDI Initiative) will produce an individually authored paper to:
- Identify and disseminate best practices for data hibernation or “cold storage” to enable later reconstitution and use. This activity will address urgent needs to ensure preservation of at-risk data, framing sunsetting and data hibernation as core components of lifecycle data management to enhance long-term resilience. Several virtual and in-person workstream meetings will be convened to enable member discussion, gather community input, and identify best practices.
Contributors
Staff
Katherine Bowman
Lead