Publications
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Community for Data Integration 2020 project report
The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 12 projects funded in fiscal year 2020, outlining their goals, activities, and accomplishments.
Authors
Leslie Hsu, Emily G. Chapin, Theodore B. Barnhart, Amanda E. Cravens, Richard A. Erickson, Jason Ferrante, Aaron Fox, Nathaniel P. Hitt, Margaret Hunter, Katharine Kolb, Jared R. Peacock, Matthew D. Petkewich, Sasha C. Reed, Terry L. Sohl, Tanja N. Williamson
By
Ecosystems Mission Area, Science Analytics and Synthesis (SAS) Program, Science Synthesis, Analysis and Research Program, Community for Data Integration (CDI), Fort Collins Science Center, Southwest Biological Science Center, Upper Midwest Environmental Sciences Center, Wetland and Aquatic Research Center
The National Ocean Biodiversity Strategy
President Biden has been clear that the ocean is central to life on Earth. As he has proclaimed, “the ocean powers millions of jobs; feeds and sustains us; and is a rejuvenating source of inspiration, exploration, and recreation.” The Biden-Harris Administration has worked hard to fulfill the President’s goal to protect and conserve at least 30% of U.S. waters by 2030. The ocean faces increased th
Authors
Gabrielle Canonico, J. Emmett Duffy, Masha Edmonson, Katie Fillingham, Abigail Benson, Kelsey Bisson, Amanda Demopoulos, Beth Hinchey, Katsumi Matsumoto, Chris Meyer, James Price, Elaine Shen, Woody Turner, Mike Weise, Andrea Vander Woude, Lauren Wenzel
U.S. Geological Survey data strategy 2023–33
The U.S. Geological Survey (USGS) has long recognized the strategic importance and value of well-managed data assets as an integral component of scientific integrity and foundational to the advancement of scientific research, decision making, and public safety. The USGS investment in the science lifecycle, including collection of unbiased data assets, interpretation, peer review, interpretive publ
Authors
Vivian B. Hutchison, Thomas E. Burley, Kyle W. Blasch, Paul E. Exter, Gregory L. Gunther, Aaron J. Shipman, Courtney M. Kelley, Cheryl A. Morris
Are researchers citing their data? A case study from the U.S. Geological Survey
Data citation promotes accessibility and discoverability of data through measures carried out by researchers, publishers, repositories, and the scientific community. This paper examines how a data citation workflow has been implemented by the U.S. Geological Survey (USGS) by evaluating publication and data linkages. Two different methods were used to identify data citations: examining publication
Authors
Grace C. Donovan, Madison Langseth
State of the data: Assessing the FAIRness of USGS data
In response to recent shifts towards open science that emphasize transparency, reproducibility, and access to research data, the US Geological Survey (USGS) conducted a study to assess the degree to which USGS data assets meet the FAIR data principles (Findable, Accessible, Interoperable, and Reusable). The USGS designed and applied a methodology for quantitative analysis of FAIR characteristics.
Authors
Vivian B. Hutchison, Tamar Norkin, Lisa Zolly, Leslie Hsu
Spatial extent drives patterns of relative climate change sensitivity for freshwater fishes of the United States
Assessing the sensitivity of freshwater species to climate change is an essential component of prioritizing conservation efforts for threatened freshwater ecosystems and organisms. Sensitivity to climate change can be systematically evaluated for multiple species using geographic attributes such as range size and climate niche breadth, and using species traits associated with climate change sensit
Authors
Samuel C. Silknetter, Abigail Benson, Jennifer A. Smith, Meryl C. Mims
Thermal traits of anurans database for the southeastern United States (TRAD): A database of thermal trait values for 40 anuran species
Thermal traits, or how an animal responds to changing temperatures, impacts species persistence and thus biodiversity. Trait databases, as repositories of consolidated, measured organismal attributes, allow researchers to link study species with specific trait values, enabling comparisons within and among species. Trait databases also help lay the groundwork to build mechanistic linkages between o
Authors
Traci P. DuBose, Victorjose Catalan, Chloe E. Moore, Vincent R. Farallo, Abigail Benson, Jessica Dade, William A. Hopkins, Meryl C. Mims
Developing fluvial fish species distribution models across the conterminous United States—A framework for management and conservation
This report explains the steps and specific methods used to predict fluvial fish occurrences in their native ranges for the conterminous United States. In this study, boosted regression tree models predict distributions of 271 ecologically important fluvial fish species using relations between fish presence/absence and 22 natural and anthropogenic landscape variables. Models developed for the fres
Authors
Hao Yu, Arthur R. Cooper, Jared Ross, Alexa McKerrow, Daniel J. Wieferich, Dana M. Infante
Assessing the value and usage of data management planning and data management plans within the U.S. Geological Survey
As of 2016, the U.S. Geological Survey (USGS) Fundamental Science Practices require data management plans (DMPs) for all USGS and USGS-funded research. The USGS Science Data Management Branch of the Science Analytics and Synthesis Program has been working to help the USGS (Bureau) meet this requirement. However, USGS researchers still encounter common data management-related challenges that may be
Authors
Madison Langseth, Elizabeth Sellers, Grace C. Donovan, Amanda N. Liford
John Wesley Powell Center for Analysis and Synthesis Newsletter, volume 7, issue 1
The John Wesley Powell Center for Synthesis & Analysis is a USGS initiative that aims to foster innovative thinking in Earth system science through collaborative analysis and synthesis of existing data and information. The Powell Center supports working groups that address some of the most pressing and complex questions facing society, such as climate change, biodiversity loss, water scarcity, nat
Authors
Jill Baron, Demi Jasmine Bingham
Help build the Protected Areas Database of the United States (PAD-US)
IntroductionPAD-US provides a comprehensive geospatial database of protected and managed areas in the United States. We assemble known protected areas whose primary purpose is biodiversity conservation, as well as lands and waters that provide public access to nature. As a National Geospatial Data Asset (https://ngda-portfolio-community-geoplatform. hub.arcgis.com/), the PAD-US database (https://w
Authors
Roger M. Johnson
Community for data integration 2019 project report
The U.S. Geological Survey Community for Data Integration annually supports small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 14 projects supported in fiscal year 2019 and outlines their goals, activities, and accomplishments. Proposals in 2019 were encouraged to addre
Authors
Amanda N. Liford, Caitlin M. Andrews, Aparna Bamzai, Joseph A. Bard, David S. Blehert, John B. Bradford, Wesley M. Daniel, Sara L. Caldwell Eldridge, Frank Engel, Jason A. Ferrante, Amy K. Gilmer, Margaret E. Hunter, Jeanne M. Jones, Benjamin Letcher, Frances L. Lightsom, Richard R. McDonald, Leah E. Morgan, Sasha C. Reed, Leslie Hsu
By
Ecosystems Mission Area, Water Resources Mission Area, Science Synthesis, Analysis and Research Program, Science Analytics and Synthesis (SAS) Program, Volcano Hazards Program, Community for Data Integration (CDI), Geology, Geophysics, and Geochemistry Science Center, Geosciences and Environmental Change Science Center, National Wildlife Health Center, Oklahoma-Texas Water Science Center, Southwest Biological Science Center, Volcano Science Center, Western Geographic Science Center, Wetland and Aquatic Research Center , Woods Hole Coastal and Marine Science Center, Science Data Management