Pilot implementation of the US EPA interoperable watershed network
Background The mission of the United States Environmental Protection Agency (EPA) is to protect human health and the environment, including air, water and land. Understanding the extent of pollution in waters and identifying waters for protection has been based in part on water quality monitoring da...
Ausführliche Beschreibung
Autor*in: |
Slawecki, Tad [verfasserIn] |
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E-Artikel |
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Englisch |
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2017 |
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Anmerkung: |
© The Author(s). 2017 |
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Übergeordnetes Werk: |
Enthalten in: Open geospatial data, software and standards - [Cham] : Springer International Publishing, 2016, 2(2017), 1 vom: 24. Mai |
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Übergeordnetes Werk: |
volume:2 ; year:2017 ; number:1 ; day:24 ; month:05 |
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DOI / URN: |
10.1186/s40965-017-0025-4 |
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SPR03802196X |
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520 | |a Background The mission of the United States Environmental Protection Agency (EPA) is to protect human health and the environment, including air, water and land. Understanding the extent of pollution in waters and identifying waters for protection has been based in part on water quality monitoring data collected and shared by parties (federal, state, tribal, and local) throughout the U.S. To date, this monitoring data has been largely represented by data collected as a water quality sample (data collected by a technician in the field or analyzed in a lab). EPA’s “STORage and RETrieval” (STORET) and the Water Quality Exchange (WQX) have served as the repository for all this sampling data. However, these tools and systems were not designed to handle today’s continuous water quality sensors. EPA has therefore embarked on the Interoperable Watersheds Network (IWN) project, which is focused on identifying a common set of formats and standards for data, and on testing and validating these standards as well as new ways of sharing data and metadata. The completed IWN will greatly expand the sharing of data and its use, thereby streamlining the assessment, restoration, and protection of surface water quality at all levels of government. Methods Stakeholder workgroups were engaged to assist with developing requirements for the three major project components: required attributes and query capability for a centralized metadata catalog, technological and data requirements for data providers, and desired functionality for a web-based discovery tool that provides access to the catalog services and provider data. Results The pilot implementation of IWN uses the Open Geospatial Consortium (OGC) Sensor Observation Service (SOS) 2.0 and WaterML2 standards as the foundation for a distributed sensor data sharing network. Data owners in locations across the United States have worked with EPA to publish their continuous sensor data and related metadata either through “data appliances” running the open-source 52° North implementation of SOS or using commercial software like Kisters’ KiWIS product. Metadata are harvested into a centralized catalog that provides a REST Service API for sensor discovery. Users can discover data by querying for specific parameters, or using spatial boundaries such as HUC, county, a buffered point, or a user defined polygon. The sensor results are returned as GeoJSON, which can be used to create maps. The API also provides the service endpoints for the sensors, which can be used to access the continuous data to create charts or download the data for other analysis. Conclusion The pilot IWN demonstrates that standards-based interoperability can provide a sound basis for a national-scale clearinghouse for continuous sensor data, though scalability of the approach will need further testing. Selected technical detail, lessons learned, and future plans for the IWN are included in the discussion. | ||
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700 | 1 | |a Sparks, Kimberly |4 aut | |
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10.1186/s40965-017-0025-4 doi (DE-627)SPR03802196X (SPR)s40965-017-0025-4-e DE-627 ger DE-627 rakwb eng Slawecki, Tad verfasserin (orcid)0000-0001-5916-6687 aut Pilot implementation of the US EPA interoperable watershed network 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2017 Background The mission of the United States Environmental Protection Agency (EPA) is to protect human health and the environment, including air, water and land. Understanding the extent of pollution in waters and identifying waters for protection has been based in part on water quality monitoring data collected and shared by parties (federal, state, tribal, and local) throughout the U.S. To date, this monitoring data has been largely represented by data collected as a water quality sample (data collected by a technician in the field or analyzed in a lab). EPA’s “STORage and RETrieval” (STORET) and the Water Quality Exchange (WQX) have served as the repository for all this sampling data. However, these tools and systems were not designed to handle today’s continuous water quality sensors. EPA has therefore embarked on the Interoperable Watersheds Network (IWN) project, which is focused on identifying a common set of formats and standards for data, and on testing and validating these standards as well as new ways of sharing data and metadata. The completed IWN will greatly expand the sharing of data and its use, thereby streamlining the assessment, restoration, and protection of surface water quality at all levels of government. Methods Stakeholder workgroups were engaged to assist with developing requirements for the three major project components: required attributes and query capability for a centralized metadata catalog, technological and data requirements for data providers, and desired functionality for a web-based discovery tool that provides access to the catalog services and provider data. Results The pilot implementation of IWN uses the Open Geospatial Consortium (OGC) Sensor Observation Service (SOS) 2.0 and WaterML2 standards as the foundation for a distributed sensor data sharing network. Data owners in locations across the United States have worked with EPA to publish their continuous sensor data and related metadata either through “data appliances” running the open-source 52° North implementation of SOS or using commercial software like Kisters’ KiWIS product. Metadata are harvested into a centralized catalog that provides a REST Service API for sensor discovery. Users can discover data by querying for specific parameters, or using spatial boundaries such as HUC, county, a buffered point, or a user defined polygon. The sensor results are returned as GeoJSON, which can be used to create maps. The API also provides the service endpoints for the sensors, which can be used to access the continuous data to create charts or download the data for other analysis. Conclusion The pilot IWN demonstrates that standards-based interoperability can provide a sound basis for a national-scale clearinghouse for continuous sensor data, though scalability of the approach will need further testing. Selected technical detail, lessons learned, and future plans for the IWN are included in the discussion. OGC SOS (dpeaa)DE-He213 OGC WaterML (dpeaa)DE-He213 Discoverability (dpeaa)DE-He213 Access (dpeaa)DE-He213 Sensor Data (dpeaa)DE-He213 Water Resources (dpeaa)DE-He213 Young, Dwane aut Dean, Britt aut Bergenroth, Brandon aut Sparks, Kimberly aut Enthalten in Open geospatial data, software and standards [Cham] : Springer International Publishing, 2016 2(2017), 1 vom: 24. Mai (DE-627)848883519 (DE-600)2848615-8 2363-7501 nnns volume:2 year:2017 number:1 day:24 month:05 https://dx.doi.org/10.1186/s40965-017-0025-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2017 1 24 05 |
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10.1186/s40965-017-0025-4 doi (DE-627)SPR03802196X (SPR)s40965-017-0025-4-e DE-627 ger DE-627 rakwb eng Slawecki, Tad verfasserin (orcid)0000-0001-5916-6687 aut Pilot implementation of the US EPA interoperable watershed network 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2017 Background The mission of the United States Environmental Protection Agency (EPA) is to protect human health and the environment, including air, water and land. Understanding the extent of pollution in waters and identifying waters for protection has been based in part on water quality monitoring data collected and shared by parties (federal, state, tribal, and local) throughout the U.S. To date, this monitoring data has been largely represented by data collected as a water quality sample (data collected by a technician in the field or analyzed in a lab). EPA’s “STORage and RETrieval” (STORET) and the Water Quality Exchange (WQX) have served as the repository for all this sampling data. However, these tools and systems were not designed to handle today’s continuous water quality sensors. EPA has therefore embarked on the Interoperable Watersheds Network (IWN) project, which is focused on identifying a common set of formats and standards for data, and on testing and validating these standards as well as new ways of sharing data and metadata. The completed IWN will greatly expand the sharing of data and its use, thereby streamlining the assessment, restoration, and protection of surface water quality at all levels of government. Methods Stakeholder workgroups were engaged to assist with developing requirements for the three major project components: required attributes and query capability for a centralized metadata catalog, technological and data requirements for data providers, and desired functionality for a web-based discovery tool that provides access to the catalog services and provider data. Results The pilot implementation of IWN uses the Open Geospatial Consortium (OGC) Sensor Observation Service (SOS) 2.0 and WaterML2 standards as the foundation for a distributed sensor data sharing network. Data owners in locations across the United States have worked with EPA to publish their continuous sensor data and related metadata either through “data appliances” running the open-source 52° North implementation of SOS or using commercial software like Kisters’ KiWIS product. Metadata are harvested into a centralized catalog that provides a REST Service API for sensor discovery. Users can discover data by querying for specific parameters, or using spatial boundaries such as HUC, county, a buffered point, or a user defined polygon. The sensor results are returned as GeoJSON, which can be used to create maps. The API also provides the service endpoints for the sensors, which can be used to access the continuous data to create charts or download the data for other analysis. Conclusion The pilot IWN demonstrates that standards-based interoperability can provide a sound basis for a national-scale clearinghouse for continuous sensor data, though scalability of the approach will need further testing. Selected technical detail, lessons learned, and future plans for the IWN are included in the discussion. OGC SOS (dpeaa)DE-He213 OGC WaterML (dpeaa)DE-He213 Discoverability (dpeaa)DE-He213 Access (dpeaa)DE-He213 Sensor Data (dpeaa)DE-He213 Water Resources (dpeaa)DE-He213 Young, Dwane aut Dean, Britt aut Bergenroth, Brandon aut Sparks, Kimberly aut Enthalten in Open geospatial data, software and standards [Cham] : Springer International Publishing, 2016 2(2017), 1 vom: 24. Mai (DE-627)848883519 (DE-600)2848615-8 2363-7501 nnns volume:2 year:2017 number:1 day:24 month:05 https://dx.doi.org/10.1186/s40965-017-0025-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2017 1 24 05 |
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10.1186/s40965-017-0025-4 doi (DE-627)SPR03802196X (SPR)s40965-017-0025-4-e DE-627 ger DE-627 rakwb eng Slawecki, Tad verfasserin (orcid)0000-0001-5916-6687 aut Pilot implementation of the US EPA interoperable watershed network 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2017 Background The mission of the United States Environmental Protection Agency (EPA) is to protect human health and the environment, including air, water and land. Understanding the extent of pollution in waters and identifying waters for protection has been based in part on water quality monitoring data collected and shared by parties (federal, state, tribal, and local) throughout the U.S. To date, this monitoring data has been largely represented by data collected as a water quality sample (data collected by a technician in the field or analyzed in a lab). EPA’s “STORage and RETrieval” (STORET) and the Water Quality Exchange (WQX) have served as the repository for all this sampling data. However, these tools and systems were not designed to handle today’s continuous water quality sensors. EPA has therefore embarked on the Interoperable Watersheds Network (IWN) project, which is focused on identifying a common set of formats and standards for data, and on testing and validating these standards as well as new ways of sharing data and metadata. The completed IWN will greatly expand the sharing of data and its use, thereby streamlining the assessment, restoration, and protection of surface water quality at all levels of government. Methods Stakeholder workgroups were engaged to assist with developing requirements for the three major project components: required attributes and query capability for a centralized metadata catalog, technological and data requirements for data providers, and desired functionality for a web-based discovery tool that provides access to the catalog services and provider data. Results The pilot implementation of IWN uses the Open Geospatial Consortium (OGC) Sensor Observation Service (SOS) 2.0 and WaterML2 standards as the foundation for a distributed sensor data sharing network. Data owners in locations across the United States have worked with EPA to publish their continuous sensor data and related metadata either through “data appliances” running the open-source 52° North implementation of SOS or using commercial software like Kisters’ KiWIS product. Metadata are harvested into a centralized catalog that provides a REST Service API for sensor discovery. Users can discover data by querying for specific parameters, or using spatial boundaries such as HUC, county, a buffered point, or a user defined polygon. The sensor results are returned as GeoJSON, which can be used to create maps. The API also provides the service endpoints for the sensors, which can be used to access the continuous data to create charts or download the data for other analysis. Conclusion The pilot IWN demonstrates that standards-based interoperability can provide a sound basis for a national-scale clearinghouse for continuous sensor data, though scalability of the approach will need further testing. Selected technical detail, lessons learned, and future plans for the IWN are included in the discussion. OGC SOS (dpeaa)DE-He213 OGC WaterML (dpeaa)DE-He213 Discoverability (dpeaa)DE-He213 Access (dpeaa)DE-He213 Sensor Data (dpeaa)DE-He213 Water Resources (dpeaa)DE-He213 Young, Dwane aut Dean, Britt aut Bergenroth, Brandon aut Sparks, Kimberly aut Enthalten in Open geospatial data, software and standards [Cham] : Springer International Publishing, 2016 2(2017), 1 vom: 24. Mai (DE-627)848883519 (DE-600)2848615-8 2363-7501 nnns volume:2 year:2017 number:1 day:24 month:05 https://dx.doi.org/10.1186/s40965-017-0025-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2017 1 24 05 |
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10.1186/s40965-017-0025-4 doi (DE-627)SPR03802196X (SPR)s40965-017-0025-4-e DE-627 ger DE-627 rakwb eng Slawecki, Tad verfasserin (orcid)0000-0001-5916-6687 aut Pilot implementation of the US EPA interoperable watershed network 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2017 Background The mission of the United States Environmental Protection Agency (EPA) is to protect human health and the environment, including air, water and land. Understanding the extent of pollution in waters and identifying waters for protection has been based in part on water quality monitoring data collected and shared by parties (federal, state, tribal, and local) throughout the U.S. To date, this monitoring data has been largely represented by data collected as a water quality sample (data collected by a technician in the field or analyzed in a lab). EPA’s “STORage and RETrieval” (STORET) and the Water Quality Exchange (WQX) have served as the repository for all this sampling data. However, these tools and systems were not designed to handle today’s continuous water quality sensors. EPA has therefore embarked on the Interoperable Watersheds Network (IWN) project, which is focused on identifying a common set of formats and standards for data, and on testing and validating these standards as well as new ways of sharing data and metadata. The completed IWN will greatly expand the sharing of data and its use, thereby streamlining the assessment, restoration, and protection of surface water quality at all levels of government. Methods Stakeholder workgroups were engaged to assist with developing requirements for the three major project components: required attributes and query capability for a centralized metadata catalog, technological and data requirements for data providers, and desired functionality for a web-based discovery tool that provides access to the catalog services and provider data. Results The pilot implementation of IWN uses the Open Geospatial Consortium (OGC) Sensor Observation Service (SOS) 2.0 and WaterML2 standards as the foundation for a distributed sensor data sharing network. Data owners in locations across the United States have worked with EPA to publish their continuous sensor data and related metadata either through “data appliances” running the open-source 52° North implementation of SOS or using commercial software like Kisters’ KiWIS product. Metadata are harvested into a centralized catalog that provides a REST Service API for sensor discovery. Users can discover data by querying for specific parameters, or using spatial boundaries such as HUC, county, a buffered point, or a user defined polygon. The sensor results are returned as GeoJSON, which can be used to create maps. The API also provides the service endpoints for the sensors, which can be used to access the continuous data to create charts or download the data for other analysis. Conclusion The pilot IWN demonstrates that standards-based interoperability can provide a sound basis for a national-scale clearinghouse for continuous sensor data, though scalability of the approach will need further testing. Selected technical detail, lessons learned, and future plans for the IWN are included in the discussion. OGC SOS (dpeaa)DE-He213 OGC WaterML (dpeaa)DE-He213 Discoverability (dpeaa)DE-He213 Access (dpeaa)DE-He213 Sensor Data (dpeaa)DE-He213 Water Resources (dpeaa)DE-He213 Young, Dwane aut Dean, Britt aut Bergenroth, Brandon aut Sparks, Kimberly aut Enthalten in Open geospatial data, software and standards [Cham] : Springer International Publishing, 2016 2(2017), 1 vom: 24. Mai (DE-627)848883519 (DE-600)2848615-8 2363-7501 nnns volume:2 year:2017 number:1 day:24 month:05 https://dx.doi.org/10.1186/s40965-017-0025-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2017 1 24 05 |
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10.1186/s40965-017-0025-4 doi (DE-627)SPR03802196X (SPR)s40965-017-0025-4-e DE-627 ger DE-627 rakwb eng Slawecki, Tad verfasserin (orcid)0000-0001-5916-6687 aut Pilot implementation of the US EPA interoperable watershed network 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2017 Background The mission of the United States Environmental Protection Agency (EPA) is to protect human health and the environment, including air, water and land. Understanding the extent of pollution in waters and identifying waters for protection has been based in part on water quality monitoring data collected and shared by parties (federal, state, tribal, and local) throughout the U.S. To date, this monitoring data has been largely represented by data collected as a water quality sample (data collected by a technician in the field or analyzed in a lab). EPA’s “STORage and RETrieval” (STORET) and the Water Quality Exchange (WQX) have served as the repository for all this sampling data. However, these tools and systems were not designed to handle today’s continuous water quality sensors. EPA has therefore embarked on the Interoperable Watersheds Network (IWN) project, which is focused on identifying a common set of formats and standards for data, and on testing and validating these standards as well as new ways of sharing data and metadata. The completed IWN will greatly expand the sharing of data and its use, thereby streamlining the assessment, restoration, and protection of surface water quality at all levels of government. Methods Stakeholder workgroups were engaged to assist with developing requirements for the three major project components: required attributes and query capability for a centralized metadata catalog, technological and data requirements for data providers, and desired functionality for a web-based discovery tool that provides access to the catalog services and provider data. Results The pilot implementation of IWN uses the Open Geospatial Consortium (OGC) Sensor Observation Service (SOS) 2.0 and WaterML2 standards as the foundation for a distributed sensor data sharing network. Data owners in locations across the United States have worked with EPA to publish their continuous sensor data and related metadata either through “data appliances” running the open-source 52° North implementation of SOS or using commercial software like Kisters’ KiWIS product. Metadata are harvested into a centralized catalog that provides a REST Service API for sensor discovery. Users can discover data by querying for specific parameters, or using spatial boundaries such as HUC, county, a buffered point, or a user defined polygon. The sensor results are returned as GeoJSON, which can be used to create maps. The API also provides the service endpoints for the sensors, which can be used to access the continuous data to create charts or download the data for other analysis. Conclusion The pilot IWN demonstrates that standards-based interoperability can provide a sound basis for a national-scale clearinghouse for continuous sensor data, though scalability of the approach will need further testing. Selected technical detail, lessons learned, and future plans for the IWN are included in the discussion. OGC SOS (dpeaa)DE-He213 OGC WaterML (dpeaa)DE-He213 Discoverability (dpeaa)DE-He213 Access (dpeaa)DE-He213 Sensor Data (dpeaa)DE-He213 Water Resources (dpeaa)DE-He213 Young, Dwane aut Dean, Britt aut Bergenroth, Brandon aut Sparks, Kimberly aut Enthalten in Open geospatial data, software and standards [Cham] : Springer International Publishing, 2016 2(2017), 1 vom: 24. Mai (DE-627)848883519 (DE-600)2848615-8 2363-7501 nnns volume:2 year:2017 number:1 day:24 month:05 https://dx.doi.org/10.1186/s40965-017-0025-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2017 1 24 05 |
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Pilot implementation of the US EPA interoperable watershed network |
abstract |
Background The mission of the United States Environmental Protection Agency (EPA) is to protect human health and the environment, including air, water and land. Understanding the extent of pollution in waters and identifying waters for protection has been based in part on water quality monitoring data collected and shared by parties (federal, state, tribal, and local) throughout the U.S. To date, this monitoring data has been largely represented by data collected as a water quality sample (data collected by a technician in the field or analyzed in a lab). EPA’s “STORage and RETrieval” (STORET) and the Water Quality Exchange (WQX) have served as the repository for all this sampling data. However, these tools and systems were not designed to handle today’s continuous water quality sensors. EPA has therefore embarked on the Interoperable Watersheds Network (IWN) project, which is focused on identifying a common set of formats and standards for data, and on testing and validating these standards as well as new ways of sharing data and metadata. The completed IWN will greatly expand the sharing of data and its use, thereby streamlining the assessment, restoration, and protection of surface water quality at all levels of government. Methods Stakeholder workgroups were engaged to assist with developing requirements for the three major project components: required attributes and query capability for a centralized metadata catalog, technological and data requirements for data providers, and desired functionality for a web-based discovery tool that provides access to the catalog services and provider data. Results The pilot implementation of IWN uses the Open Geospatial Consortium (OGC) Sensor Observation Service (SOS) 2.0 and WaterML2 standards as the foundation for a distributed sensor data sharing network. Data owners in locations across the United States have worked with EPA to publish their continuous sensor data and related metadata either through “data appliances” running the open-source 52° North implementation of SOS or using commercial software like Kisters’ KiWIS product. Metadata are harvested into a centralized catalog that provides a REST Service API for sensor discovery. Users can discover data by querying for specific parameters, or using spatial boundaries such as HUC, county, a buffered point, or a user defined polygon. The sensor results are returned as GeoJSON, which can be used to create maps. The API also provides the service endpoints for the sensors, which can be used to access the continuous data to create charts or download the data for other analysis. Conclusion The pilot IWN demonstrates that standards-based interoperability can provide a sound basis for a national-scale clearinghouse for continuous sensor data, though scalability of the approach will need further testing. Selected technical detail, lessons learned, and future plans for the IWN are included in the discussion. © The Author(s). 2017 |
abstractGer |
Background The mission of the United States Environmental Protection Agency (EPA) is to protect human health and the environment, including air, water and land. Understanding the extent of pollution in waters and identifying waters for protection has been based in part on water quality monitoring data collected and shared by parties (federal, state, tribal, and local) throughout the U.S. To date, this monitoring data has been largely represented by data collected as a water quality sample (data collected by a technician in the field or analyzed in a lab). EPA’s “STORage and RETrieval” (STORET) and the Water Quality Exchange (WQX) have served as the repository for all this sampling data. However, these tools and systems were not designed to handle today’s continuous water quality sensors. EPA has therefore embarked on the Interoperable Watersheds Network (IWN) project, which is focused on identifying a common set of formats and standards for data, and on testing and validating these standards as well as new ways of sharing data and metadata. The completed IWN will greatly expand the sharing of data and its use, thereby streamlining the assessment, restoration, and protection of surface water quality at all levels of government. Methods Stakeholder workgroups were engaged to assist with developing requirements for the three major project components: required attributes and query capability for a centralized metadata catalog, technological and data requirements for data providers, and desired functionality for a web-based discovery tool that provides access to the catalog services and provider data. Results The pilot implementation of IWN uses the Open Geospatial Consortium (OGC) Sensor Observation Service (SOS) 2.0 and WaterML2 standards as the foundation for a distributed sensor data sharing network. Data owners in locations across the United States have worked with EPA to publish their continuous sensor data and related metadata either through “data appliances” running the open-source 52° North implementation of SOS or using commercial software like Kisters’ KiWIS product. Metadata are harvested into a centralized catalog that provides a REST Service API for sensor discovery. Users can discover data by querying for specific parameters, or using spatial boundaries such as HUC, county, a buffered point, or a user defined polygon. The sensor results are returned as GeoJSON, which can be used to create maps. The API also provides the service endpoints for the sensors, which can be used to access the continuous data to create charts or download the data for other analysis. Conclusion The pilot IWN demonstrates that standards-based interoperability can provide a sound basis for a national-scale clearinghouse for continuous sensor data, though scalability of the approach will need further testing. Selected technical detail, lessons learned, and future plans for the IWN are included in the discussion. © The Author(s). 2017 |
abstract_unstemmed |
Background The mission of the United States Environmental Protection Agency (EPA) is to protect human health and the environment, including air, water and land. Understanding the extent of pollution in waters and identifying waters for protection has been based in part on water quality monitoring data collected and shared by parties (federal, state, tribal, and local) throughout the U.S. To date, this monitoring data has been largely represented by data collected as a water quality sample (data collected by a technician in the field or analyzed in a lab). EPA’s “STORage and RETrieval” (STORET) and the Water Quality Exchange (WQX) have served as the repository for all this sampling data. However, these tools and systems were not designed to handle today’s continuous water quality sensors. EPA has therefore embarked on the Interoperable Watersheds Network (IWN) project, which is focused on identifying a common set of formats and standards for data, and on testing and validating these standards as well as new ways of sharing data and metadata. The completed IWN will greatly expand the sharing of data and its use, thereby streamlining the assessment, restoration, and protection of surface water quality at all levels of government. Methods Stakeholder workgroups were engaged to assist with developing requirements for the three major project components: required attributes and query capability for a centralized metadata catalog, technological and data requirements for data providers, and desired functionality for a web-based discovery tool that provides access to the catalog services and provider data. Results The pilot implementation of IWN uses the Open Geospatial Consortium (OGC) Sensor Observation Service (SOS) 2.0 and WaterML2 standards as the foundation for a distributed sensor data sharing network. Data owners in locations across the United States have worked with EPA to publish their continuous sensor data and related metadata either through “data appliances” running the open-source 52° North implementation of SOS or using commercial software like Kisters’ KiWIS product. Metadata are harvested into a centralized catalog that provides a REST Service API for sensor discovery. Users can discover data by querying for specific parameters, or using spatial boundaries such as HUC, county, a buffered point, or a user defined polygon. The sensor results are returned as GeoJSON, which can be used to create maps. The API also provides the service endpoints for the sensors, which can be used to access the continuous data to create charts or download the data for other analysis. Conclusion The pilot IWN demonstrates that standards-based interoperability can provide a sound basis for a national-scale clearinghouse for continuous sensor data, though scalability of the approach will need further testing. Selected technical detail, lessons learned, and future plans for the IWN are included in the discussion. © The Author(s). 2017 |
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Pilot implementation of the US EPA interoperable watershed network |
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https://dx.doi.org/10.1186/s40965-017-0025-4 |
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Young, Dwane Dean, Britt Bergenroth, Brandon Sparks, Kimberly |
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