IN008-02
Connecting Environmental Systems Science and Digital Library Practices
Tuesday, 8 December 2020: 10:33
Virtual
Joan E Damerow1, Charuleka Varadharajan1, Kristin Boye2, Madison Burrus1, K. Dana Chadwick3, Shreyas Cholia1, Robert Crystal-Ornelas1, Kim S Ely4, Valerie C Hendrix1, Matthew B. Jones5, Christopher S. Jones5, Zarine Kakalia1, Ken M Kemner6, Annie B Kersting7, Katharine Maher8, Mario Melara9, Nancy Shiao-Lynn Merino10, Fianna O'Brien1, Zach Perzan11, Emily Robles1, Cory Snavely12, Patrick Sorensen13, James Stegen14, Pamela Weisenhorn15, Karen Whitenack1, Mavrik Zavarin16 and Deb Agarwal17, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)SLAC National Acceleratory Laboratory, Stanford Synchrotron Radiation Lightsource, Menlo Park, CA, United States, (3)Stanford University, Earth System Science, Stanford, CA, United States, (4)Brookhaven National Laboratory, Environmental and Climate Sciences Department, Upton, NY, United States, (5)National Center for Ecological Analysis and Synthesis, Santa Barbara, CA, United States, (6)Argonne Natl Lab, Argonne, IL, United States, (7)LLNL, Livermore, CA, United States, (8)Stanford-Geology & Env Science, Stanford, CA, United States, (9)Lawrence Berkeley National Laboratory, Berkeley, United States, (10)Lawrence Livermore National Laboratory, Livermore, United States, (11)Stanford University, Earth Systems Science, Stanford, CA, United States, (12)Lawrence Berkeley National Laboratory, NERSC, Berkeley, CA, United States, (13)Lawrence Berkeley National Laboratory, Earth and Environmental Sciences, Berkeley, CA, United States, (14)Pacific Northwest National Laboratory, Richland, WA, United States, (15)Argonne National Laboratory, Argonne, United States, (16)Lawrence Livermore National Laboratory, Livermore, CA, United States, (17)LBNL, Berkeley, CA, United States
Abstract:
The U.S. Department of Energy’s (DOE’s) Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) stores and publicly distributes data from observational, experimental, and modeling research funded by the DOE’s Environmental Systems Science activity. The diversity of data and interdisciplinary nature of projects presents challenges in developing recommendations for data management, reporting, and publication. Part of our role as a community-focused data repository is to synthesize, interpret, and make good data curation practices easier and more useful for our community. As representatives of Environmental Systems Science researchers, we can also provide valuable feedback within the informatics community and influence existing practices to better support interdisciplinary science.
In this presentation, we demonstrate a community-focused approach in connecting our scientists with best practices for data curation and publication developed in broader informatics and digital library communities. For example, we conducted a pilot test involving many of our scientific projects on the use of persistent identifiers for physical samples–specifically, International Geo/General Sample Numbers (IGSNs). We compared existing sample-related templates and shared vocabulary terms, and evaluated the experience of users to more efficiently describe biological and geological samples from interdisciplinary studies. We explore other challenges encountered as a broad, interdisciplinary repository, such as efficiently curating interdisciplinary data types, ensuring that data is FAIR and of high quality, and that authors receive appropriate credit for contributing quality datasets. Overall, the success of our repository relies on our ability to support specific community needs, and incorporate practices that help maximize the value of Environmental Systems Science data now and in the future.
