2025 CDI Workshop

Scientific data collected using USGS funds are federal records and are required to be publicly available. However, "legacy" data obtained by former and current scientists continue to gather dust, even though the data are as relevant today as they were at the time of data collection. During this session, data managers and scientists will provide examples of legacy projects and describe their unique data preservation process. Additionally, an open discussion will highlight how to get started with legacy data preservation, tips for overcoming obstacles in the archival process, and steps to ensure legacy datasets are accessible to the public and next generation of scientists.

Purpose:
Archiving and publishing "legacy" datasets proves to be a challenge for data managers and scientists across the Department of the Interior. Reasons include, 1) information on data collection methods and purpose are missing, 2) data are in hardcopy/inaccessible formats, 3) institutional knowledge on the data or project is lacking, and 4) current or ongoing projects take precedence. With the potential for future budget cuts, it is important to resurrect "legacy" datasets that could provide answers to pressing questions without the need for additional data collection. The purpose of this session will be to hear different prospectives on how best to preserve "legacy" data as well as host an open Q & A for participants to share idea, concerns, and triumphs in "legacy" data preservation.

Outcomes:
Effectively archiving and publishing legacy datasets is a challenge for many people working with scientific data. Time and again, institutional knowledge on the data or project is lacking, data are stored in hardcopy/inaccessible formats, information on data collection methods is missing, or there simply isn’t enough time to dedicate to the task of preservation. This session aims to: 1) Inspire CDI participants to consider legacy data preservation as a relevant and attainable goal, 2) provide participants resources and ideas for preserving datasets from start to finish, and 3) build a community and safe space for members to share thoughts and concerns related to legacy data preservation.