DOE OSTI · 2507024
Recommendations for developing, documenting, and distributing data products derived from NEON data
Abstract
The National Ecological Observatory Network (NEON) provides over 180 distinct data products from 81 sites (47 terrestrial and 34 freshwater aquatic sites) within the United States and Puerto Rico. These data products include both field and remote sensing data collected using standardized protocols and sampling schema, with centralized quality assurance and quality control (QA/QC) provided by NEON staff. Such breadth of data creates opportunities for the research community to extend basic and applied research while also extending the impact and reach of NEON data through the creation of derived data products—higher level data products derived by the user community from NEON data. Derived data products are curated, documented, reproducibly-generated datasets created by applying various processing steps to one or more lower level data products—including interpolation, extrapolation, integration, statistical analysis, modeling, or transformations. Derived data products directly benefit the research community and increase the impact of NEON data by broadening the size and diversity of the user base, decreasing the time and effort needed for working with NEON data, providing primary research foci through the development via the derivation process, and helping users address multidisciplinary questions. Creating derived data products also promotes personal career advancement to those involved through publications, citations, and future grant proposals. However, the creation of derived data products is a nontrivial task. Here we provide an overview of the process of creating derived data products while outlining the advantages, challenges, and major considerations.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Atkins, Jeff W. [USDA Forest Service, Savannah River, New Ellenton, SC (United States); Virginia Commonwealth Univ., Richmond, VA (United States)] (ORCID:0000000222953131), Aho, Kelly S. [Michigan State Univ., East Lansing, MI (United States)], Chen, Xuan [Salisbury University, MD (United States)] (ORCID:0000000294990054), Elmore, Andrew J. [Univ. of Maryland, Frostburg, MD (United States). Center for Environmental Science] (ORCID:0000000296979457), Fiorella, Richard Pascal [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000208244777), Luo, Wenqi [Univ. of Michigan, Ann Arbor, MI (United States)], Lombardozzi, Danica [National Center for Atmospheric Research (NCAR), Boulder, CO (United States); Colorado State Univ., Fort Collins, CO (United States)], Lunch, Claire [National Ecological Observatory Network, Boulder, CO (United States)] (ORCID:0000000187536593), Manak, Leah [Northern Arizona Univ., Flagstaff, AZ (United States)], de Pablo, Luis X. [Univ. of Colorado, Boulder, CO (United States)] (ORCID:0009000179114507), Myers‐Pigg, Allison N. [Pacific Northwest National Laboratory (PNNL), Sequim, WA (United States). Marine and Coastal Research Laboratory] (ORCID:0000000269056841), Record, Sydne [Univ. of Maine, Orono, ME (United States)] (ORCID:0000000172932155), Qiu, Tong [Duke Univ., Durham, NC (United States)] (ORCID:000000034499437X), Reed, Samuel [University of Minnesota, Saint Paul, MN (United States)] (ORCID:0000000335082547), Ruddell, Benjamin [Northern Arizona Univ., Flagstaff, AZ (United States)], Strange, Brandon [Northern Arizona Univ., Flagstaff, AZ (United States)], Torrens, Christa L. [Univ. of Montana, Polson, MT (United States). Flathead Lake Biological Station], Yule, Kelsey [Arizona State Univ., Tempe, AZ (United States)] (ORCID:000000021447849X), Richardson, Andrew D. [Northern Arizona Univ., Flagstaff, AZ (United States)] (ORCID:0000000201486714). 2025-01-22. Recommendations for developing, documenting, and distributing data products derived from NEON data. https://doi.org/10.1002/ecs2.70159
Cite the original work for its findings. Save a collection to share your selection of sources.