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Title: FRAMES Metadata Reporting Templates for Ecohydrological Observations, version 1.1

Abstract

FRAMES is a a set of Excel metadata files and package-level descriptive metadata that are designed to facilitate and improve capture of desired metadata for ecohydrological observations. The metadata are bundled with data files into a data package and submitted to a data repository (e.g. the NGEE Tropics Data Repository) via a web form. FRAMES standardizes reporting of diverse ecohydrological and biogeochemical data for synthesis across a range of spatiotemporal scales and incorporates many best data science practices. This version of FRAMES supports observations for primarily automated measurements collected by permanently located sensors, including sap flow (tree water use), leaf surface temperature, soil water content, dendrometry (stem diameter growth increment), and solar radiation. Version 1.1 extend the controlled vocabulary and incorporates functionality to facilitate programmatic use of data and FRAMES metadata (R code available at NGEE Tropics Data Repository).

Authors:
 [1];  [2];  [3];  [4];  [2];  [1];  [2];  [2];  [5];  [1];  [1];  [1];  [6];  [7];  [2];  [2];  [8];  [2]
  1. Berkeley Lab
  2. LBNL
  3. Los Alamos National Lab
  4. Princeton
  5. National Inst of Amazon Research (INPA)
  6. ORNL
  7. Smithsonian
  8. Pacific Northwest National Lab
Publication Date:
Research Org.:
Next-Generation Ecosystem Experiments Tropics; Lawrence Berkeley National Laboratory
Sponsoring Org.:
U.S. Department of Energy Office of Science Office of Biological and Environmental Research
OSTI Identifier:
1419956
Report Number(s):
NGT0041
DOE Contract Number:
DE-AC02-05CH11231
Resource Type:
Data
Resource Relation:
Related Information: Christianson D.C., Varadharajan C., Christoffersen B., Detto M., Faybishenko B., Hendrix, V., Jardine K.J., Negron-Juarez R., Gimenez B.O., Pastorello G.Z., Powell T.L., Sandesh, M., Warren J.M., Wolfe B.T., Chambers J.Q., Kueppers L.M., McDowell N.G., Agarwal D. In Review. A metadata reporting framework (FRAMES) for synthesis of ecohydrological observations, Ecological Informatics
Data Type:
Specialized Mix
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Christianson, Danielle, Varadharajan, Charuleka, Christoffersen, Brad, Detto, Matteo, Faybishenko, Boris, Hendrix, Val, Jardine, Kolby, Negron-Juarez, Robinson, Gimenez, Bruno, Pastorello, Gilberto, Powell, Thomas, Sandesh, Megha, Warren, Jeffrey, Wolfe, Brett, Chambers, Jeff, Kueppers, Lara, McDowell, Nate, and Agarwal, Deb. FRAMES Metadata Reporting Templates for Ecohydrological Observations, version 1.1. United States: N. p., 2018. Web. doi:10.15486/ngt/1419956.
Christianson, Danielle, Varadharajan, Charuleka, Christoffersen, Brad, Detto, Matteo, Faybishenko, Boris, Hendrix, Val, Jardine, Kolby, Negron-Juarez, Robinson, Gimenez, Bruno, Pastorello, Gilberto, Powell, Thomas, Sandesh, Megha, Warren, Jeffrey, Wolfe, Brett, Chambers, Jeff, Kueppers, Lara, McDowell, Nate, & Agarwal, Deb. FRAMES Metadata Reporting Templates for Ecohydrological Observations, version 1.1. United States. doi:10.15486/ngt/1419956.
Christianson, Danielle, Varadharajan, Charuleka, Christoffersen, Brad, Detto, Matteo, Faybishenko, Boris, Hendrix, Val, Jardine, Kolby, Negron-Juarez, Robinson, Gimenez, Bruno, Pastorello, Gilberto, Powell, Thomas, Sandesh, Megha, Warren, Jeffrey, Wolfe, Brett, Chambers, Jeff, Kueppers, Lara, McDowell, Nate, and Agarwal, Deb. 2018. "FRAMES Metadata Reporting Templates for Ecohydrological Observations, version 1.1". United States. doi:10.15486/ngt/1419956. https://www.osti.gov/servlets/purl/1419956.
@article{osti_1419956,
title = {FRAMES Metadata Reporting Templates for Ecohydrological Observations, version 1.1},
author = {Christianson, Danielle and Varadharajan, Charuleka and Christoffersen, Brad and Detto, Matteo and Faybishenko, Boris and Hendrix, Val and Jardine, Kolby and Negron-Juarez, Robinson and Gimenez, Bruno and Pastorello, Gilberto and Powell, Thomas and Sandesh, Megha and Warren, Jeffrey and Wolfe, Brett and Chambers, Jeff and Kueppers, Lara and McDowell, Nate and Agarwal, Deb},
abstractNote = {FRAMES is a a set of Excel metadata files and package-level descriptive metadata that are designed to facilitate and improve capture of desired metadata for ecohydrological observations. The metadata are bundled with data files into a data package and submitted to a data repository (e.g. the NGEE Tropics Data Repository) via a web form. FRAMES standardizes reporting of diverse ecohydrological and biogeochemical data for synthesis across a range of spatiotemporal scales and incorporates many best data science practices. This version of FRAMES supports observations for primarily automated measurements collected by permanently located sensors, including sap flow (tree water use), leaf surface temperature, soil water content, dendrometry (stem diameter growth increment), and solar radiation. Version 1.1 extend the controlled vocabulary and incorporates functionality to facilitate programmatic use of data and FRAMES metadata (R code available at NGEE Tropics Data Repository).},
doi = {10.15486/ngt/1419956},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2018,
month = 1
}

Dataset:

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  • Metadata describe the ancillary information needed for data interpretation, comparison across heterogeneous datasets, and quality control and quality assessment (QA/QC). Metadata enable the synthesis of diverse ecohydrological and biogeochemical observations, an essential step in advancing a predictive understanding of earth systems. Environmental observations can be taken across a wide range of spatiotemporal scales in a variety of measurement settings and approaches, and saved in multiple formats. Thus, well-organized, consistent metadata are required to produce usable data products from diverse observations collected in disparate field sites. However, existing metadata reporting protocols do not support the complex data synthesis needs of interdisciplinarymore » earth system research. We developed a metadata reporting framework (FRAMES) to enable predictive understanding of carbon cycling in tropical forests under global change. FRAMES adheres to best practices for data and metadata organization, enabling consistent data reporting and thus compatibility with a variety of standardized data protocols. We used an iterative scientist-centered design process to develop FRAMES. The resulting modular organization streamlines metadata reporting and can be expanded to incorporate additional data types. The flexible data reporting format incorporates existing field practices to maximize data-entry efficiency. With FRAMES’s multi-scale measurement position hierarchy, data can be reported at observed spatial resolutions and then easily aggregated and linked across measurement types to support model-data integration. FRAMES is in early use by both data providers and users. Here in this article, we describe FRAMES, identify lessons learned, and discuss areas of future development.« less
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