A metadata reporting framework (FRAMES) for synthesis of ecohydrological observations has been developed as part of the NGEE-Tropics Data Synthesis and Management Framework.
FRAMES is a set of excel and on-line templates that standardize reporting of diverse ecohydrological data and the necessary metadata required for data synthesis to study earth systems.
Detailed metadata, information that describes when, where, and how data is generated, is required for interpreting, comparing, validating, and synthesizing ecohydrological observations collected with diverse methods in different ecosystems. FRAMES bridges the gap between complex data information models that are needed to organize detailed metadata and specific ecohydrological data reporting protocols that lack enough detail for earth system science research.
FRAMES is a set of excel and on-line templates that standardize reporting of diverse ecohydrological data and metadata for data synthesis required for earth system science research. We developed FRAMES iteratively with data providers and consumers who are developing a predictive understanding of carbon cycling in the tropics. Key features include: (1) Best data science practices; (2) Modular design that allows for addition of new measurement types; (3) Data entry formats that enable efficient reporting; (4) Multiscale hierarchy that links observations across spatiotemporal scales; and (5) Collection of metadata for integrating data with earth system models.
Research supported by Next Generation Ecosystem Experiments-Tropics (NGEE-Tropics), funded by U. S. Department of Energy, Office of Science.
D.S. Christianson, C. Varadharajan, B. Christoffersen, M. Detto, B. Faybishenko, B.O. Gimenez, V. Hendrix, K. J. Jardine, R. Negron-Juarez, G.Z. Pastorello, T.L. Powell, M. Sandesh, J.M. Warren, B.T. Wolfe, J.Q. Chambers, L.M. Kueppers, N.G. McDowell, D.A. Agarwal, “A metadata reporting framework (FRAMES) for synthesis of ecohydrological observations.” Ecological Informatics (2017). https://doi.org/10.1016/j.ecoinf.2017.06.002.