Opening Doors to Physical Sample Data Discovery, Integration, and Credit
Joan Damerow,
Natalie Raia,
Val Stanley
et al.
Abstract:Physical samples and their associated (meta)data underpin scientific discoveries across disciplines, and can enable new science when appropriately archived. However, there are significant gaps in community practices and infrastructure that currently prevent accurate provenance tracking, reproducibility, and attribution. For the vast majority of samples, descriptive metadata is often sparse, inaccessible, or absent. Samples and associated (meta)data may also be scattered across numerous physical collections, da… Show more
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