Opening doors to physical sample tracking and attribution in Earth and environmental sciences.

ABSTRACT: Physical samples and their associated data and metadata underpin scientific discoveries across disciplines and can enable new science when appropriately archived. However, there are significant gaps in current practices and infrastructure that prevent accurate provenance tracking, reproducibility, and attribution. For most samples, descriptive metadata are often sparse, inaccessible, or absent. Samples and associated data and metadata may also be scattered across numerous physical collections, data repositories, laboratories, data files, and papers with no clear linkage or provenance tracking as new information is generated over time. The Earth Science Information Partners (ESIP) Physical Samples Curation Cluster has therefore developed guidance for scientific authors on 'Publishing Open R

SUBMITTER: Damerow JE 

PROVIDER: S-EPMC12181277 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature