Journal article
Opening doors to physical sample tracking and attribution in Earth and environmental sciences
Scientific data, v 12(1), 1047
20 Jun 2025
PMID: 40541980
Featured in Collection : UN Sustainable Development Goals @ Drexel
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 Research Using Physical Samples.' This involved synthesizing existing practices, gathering community feedback, and assessing real-world examples. We identified improvements needed to enable authors to efficiently cite and link Earth science samples and related data, and track their use. Our goal is to help improve discoverability, interoperability, and reuse of physical samples, and associated data and metadata. Though primarily focused on the needs of Earth and environmental sciences, these guidelines are broadly applicable.
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Details
- Title
- Opening doors to physical sample tracking and attribution in Earth and environmental sciences
- Creators
- Joan E. Damerow - Lawrence Berkeley National LaboratoryNatalie H. Raia - University of ArizonaVal Stanley - Oregon State UniversitySaebyul Choe - Lamont-Doherty Earth ObservatoryMikayla A. Borton - Colorado State UniversityNeil Byers - Lawrence Berkeley National LaboratoryEllen R. Cassidy - American Museum of Natural HistoryShreyas Cholia - Lawrence Berkeley National LaboratoryRorie Edmunds - DataCiteBrieanne Forbes - Pacific Northwest National LaboratoryKathleen Forrest - Drexel UniversityAmy E. Goldman - Pacific Northwest National LaboratoryJohn Kunze - Drexel UniversitySara Lafia - University of Illinois ChicagoKerstin Lehnert - Lamont-Doherty Earth ObservatoryMarcella McIntyre-Redden - Geological Survey of AlabamaRichard Naples - Smithsonian LibrariesDylan O'Ryan - Lawrence Berkeley Natl Lab, Earth & Environm Sci Area, Berkeley, CA 94720 USACharles Parker - Lawrence Berkeley National LaboratoryEsther Plomp - University of ArubaBeck Powers-McCormack - Pacific Northwest National LaboratorySarah Ramdeen - Ronin InstituteStephen RichardAnne Thessen - University of Colorado Anschutz Medical CampusCody W. Thompson - American Museum of Natural HistoryDave Vieglais - Maryland Department of Natural ResourcesKristina Vrouwenvelder - American Geophysical UnionElisha M. Wood-Charlson - Lawrence Berkeley National LaboratoryLesley Wyborn - Australian National UniversityT. B. K. Reddy - Lawrence Berkeley National LaboratoryAndrea K. Thomer - University of ArizonaLawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Publication Details
- Scientific data, v 12(1), 1047
- Publisher
- Nature Publishing
- Number of pages
- 17
- Grant note
- DE-AC02-05CH11231; 2004562; 2148939 / U.S. Department of Energy (DOE); United States Department of Energy (DOE) U.S. DOE's Office of Science Biological and Environmental Research Program; United States Department of Energy (DOE) U.S. DOE, Office of Biological and Environmental Research (BER), Environmental System Science (ESS) Program; United States Department of Energy (DOE) DE-AC02-05CH11231 / U.S. Department of Energy Joint Genome Institute; United States Department of Energy (DOE) GROW (Genome Resolved Open Watershed) Database: Leveraging Distributed Research Networks to Understand Watershed Systems' award Office of Science of the U.S. Department of Energy; United States Department of Energy (DOE) DE-AC05-76RL01830 / PNNL DOE; United States Department of Energy (DOE)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:001512786400007
- Scopus ID
- 2-s2.0-105008584469
- Other Identifier
- 991022197424604721
UN Sustainable Development Goals (SDGs)
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Source: SDGs in the Output
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Multidisciplinary Sciences