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A data management and publication workflow for a large-scale, heterogeneous sensor network

It is common for hydrology researchers to collect data using in situ sensors at high frequencies, for extended durations, and with spatial distributions that produce data volumes requiring infrastructure for data storage, management, and sharing. The availability and utility of these data in address...

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Autores principales: Jones, Amber Spackman, Horsburgh, Jeffery S., Reeder, Stephanie L., Ramírez, Maurier, Caraballo, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4429147/
https://www.ncbi.nlm.nih.gov/pubmed/25968554
http://dx.doi.org/10.1007/s10661-015-4594-3
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author Jones, Amber Spackman
Horsburgh, Jeffery S.
Reeder, Stephanie L.
Ramírez, Maurier
Caraballo, Juan
author_facet Jones, Amber Spackman
Horsburgh, Jeffery S.
Reeder, Stephanie L.
Ramírez, Maurier
Caraballo, Juan
author_sort Jones, Amber Spackman
collection PubMed
description It is common for hydrology researchers to collect data using in situ sensors at high frequencies, for extended durations, and with spatial distributions that produce data volumes requiring infrastructure for data storage, management, and sharing. The availability and utility of these data in addressing scientific questions related to water availability, water quality, and natural disasters relies on effective cyberinfrastructure that facilitates transformation of raw sensor data into usable data products. It also depends on the ability of researchers to share and access the data in useable formats. In this paper, we describe a data management and publication workflow and software tools for research groups and sites conducting long-term monitoring using in situ sensors. Functionality includes the ability to track monitoring equipment inventory and events related to field maintenance. Linking this information to the observational data is imperative in ensuring the quality of sensor-based data products. We present these tools in the context of a case study for the innovative Urban Transitions and Aridregion Hydrosustainability (iUTAH) sensor network. The iUTAH monitoring network includes sensors at aquatic and terrestrial sites for continuous monitoring of common meteorological variables, snow accumulation and melt, soil moisture, surface water flow, and surface water quality. We present the overall workflow we have developed for effectively transferring data from field monitoring sites to ultimate end-users and describe the software tools we have deployed for storing, managing, and sharing the sensor data. These tools are all open source and available for others to use.
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spelling pubmed-44291472015-05-18 A data management and publication workflow for a large-scale, heterogeneous sensor network Jones, Amber Spackman Horsburgh, Jeffery S. Reeder, Stephanie L. Ramírez, Maurier Caraballo, Juan Environ Monit Assess Article It is common for hydrology researchers to collect data using in situ sensors at high frequencies, for extended durations, and with spatial distributions that produce data volumes requiring infrastructure for data storage, management, and sharing. The availability and utility of these data in addressing scientific questions related to water availability, water quality, and natural disasters relies on effective cyberinfrastructure that facilitates transformation of raw sensor data into usable data products. It also depends on the ability of researchers to share and access the data in useable formats. In this paper, we describe a data management and publication workflow and software tools for research groups and sites conducting long-term monitoring using in situ sensors. Functionality includes the ability to track monitoring equipment inventory and events related to field maintenance. Linking this information to the observational data is imperative in ensuring the quality of sensor-based data products. We present these tools in the context of a case study for the innovative Urban Transitions and Aridregion Hydrosustainability (iUTAH) sensor network. The iUTAH monitoring network includes sensors at aquatic and terrestrial sites for continuous monitoring of common meteorological variables, snow accumulation and melt, soil moisture, surface water flow, and surface water quality. We present the overall workflow we have developed for effectively transferring data from field monitoring sites to ultimate end-users and describe the software tools we have deployed for storing, managing, and sharing the sensor data. These tools are all open source and available for others to use. Springer International Publishing 2015-05-13 2015 /pmc/articles/PMC4429147/ /pubmed/25968554 http://dx.doi.org/10.1007/s10661-015-4594-3 Text en © The Author(s) 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Jones, Amber Spackman
Horsburgh, Jeffery S.
Reeder, Stephanie L.
Ramírez, Maurier
Caraballo, Juan
A data management and publication workflow for a large-scale, heterogeneous sensor network
title A data management and publication workflow for a large-scale, heterogeneous sensor network
title_full A data management and publication workflow for a large-scale, heterogeneous sensor network
title_fullStr A data management and publication workflow for a large-scale, heterogeneous sensor network
title_full_unstemmed A data management and publication workflow for a large-scale, heterogeneous sensor network
title_short A data management and publication workflow for a large-scale, heterogeneous sensor network
title_sort data management and publication workflow for a large-scale, heterogeneous sensor network
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4429147/
https://www.ncbi.nlm.nih.gov/pubmed/25968554
http://dx.doi.org/10.1007/s10661-015-4594-3
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