Sample Identifiers and Metadata to Support Data Management and Reuse in Multidisciplinary Ecosystem Sciences

Sample Identifiers and Metadata to Support Data Management and Reuse in Multidisciplinary Ecosystem Sciences

Physical samples are foundational entities for research across biological, Earth, and environmental sciences. Data generated from sample-based analyses are not only the basis of individual studies, but can also be integrated with other data to answer new and broader-scale questions. Ecosystem studie...

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Bibliographic Details
Main Authors: Joan E. Damerow, Charuleka Varadharajan, Kristin Boye, Eoin L. Brodie, Madison Burrus, K. Dana Chadwick, Robert Crystal-Ornelas, Hesham Elbashandy, Ricardo J. Eloy Alves, Kim S. Ely, Amy E. Goldman, Ted Haberman, Valerie Hendrix, Zarine Kakalia, Kenneth M. Kemner, Annie B. Kersting, Nancy Merino, Fianna O'Brien, Zach Perzan, Emily Robles, Patrick Sorensen, James C. Stegen, Ramona L. Walls, Pamela Weisenhorn, Mavrik Zavarin, Deborah Agarwal
Format: Article
Language:English
Published: Ubiquity Press 2021-03-01
Series:Data Science Journal
Subjects:
global sample number (igsn)
physical samples
soil
water
plant
leaf
microbial communities
related identifiers
persistent identifiers
Online Access:https://datascience.codata.org/articles/1299

Internet

https://datascience.codata.org/articles/1299

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