The Long Tail of hydroinformatics : implementing biological and oceanographic information in hydrologic information systems
text Hydrologic Information Systems (HIS) have emerged as a means to organize, share, and synthesize water data. This work extends current HIS capabilities by providing additional capacity and flexibility for marine physical and chemical observations data and for freshwater and marine biological obs...
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ftunivtexas:oai:repositories.lib.utexas.edu:2152/ETD-UT-2012-12-6714 2023-05-15T15:15:02+02:00 The Long Tail of hydroinformatics : implementing biological and oceanographic information in hydrologic information systems Hersh, Eric Scott Maidment, David R. Bonner, Timothy Dunton, Kenneth Gilbert, Robert Hodges, Ben McKinney, Daene 2012-12 application/pdf http://hdl.handle.net/2152/ETD-UT-2012-12-6714 eng eng http://hdl.handle.net/2152/ETD-UT-2012-12-6714 2152/ETD-UT-2012-12-6714 Hydrologic Information Systems HIS Hydroinformatics Civil engineering Data Data management Aquatic biology Oceanography Environmental flows Instream flows Texas Chukchi Sea CUAHSI GIS thesis 2012 ftunivtexas 2020-12-23T22:18:37Z text Hydrologic Information Systems (HIS) have emerged as a means to organize, share, and synthesize water data. This work extends current HIS capabilities by providing additional capacity and flexibility for marine physical and chemical observations data and for freshwater and marine biological observations data. These goals are accomplished in two broad and disparate case studies – an HIS implementation for the oceanographic domain as applied to the offshore environment of the Chukchi Sea, a region of the Alaskan Arctic, and a separate HIS implementation for the aquatic biology and environmental flows domains as applied to Texas rivers. These case studies led to the development of a new four-dimensional data cube to accommodate biological observations data with axes of space, time, species, and trait, a new data model for biological observations, an expanded ontology and data dictionary for biological taxa and traits, and an expanded chain-of-custody approach for improved data source tracking. A large number of small studies across a wide range of disciplines comprise the “Long Tail” of science. This work builds upon the successes of the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) by applying HIS technologies to two new Long Tail disciplines: aquatic biology and oceanography. In this regard this research improves our understanding of how to deal with collections of biological data stored alongside sensor-based physical data. Based on the results of these case studies, a common framework for water information management for terrestrial and marine systems has emerged which consists of Hydrologic Information Systems for observations data, Geographic Information Systems for geographic data, and Digital Libraries for documents and other digital assets. It is envisioned that the next generation of HIS will be comprised of these three components and will thus actually be a Water Information System of Systems. Civil, Architectural, and Environmental Engineering Thesis Arctic Chukchi Chukchi Sea The University of Texas at Austin: Texas ScholarWorks Arctic Chukchi Sea |
institution |
Open Polar |
collection |
The University of Texas at Austin: Texas ScholarWorks |
op_collection_id |
ftunivtexas |
language |
English |
topic |
Hydrologic Information Systems HIS Hydroinformatics Civil engineering Data Data management Aquatic biology Oceanography Environmental flows Instream flows Texas Chukchi Sea CUAHSI GIS |
spellingShingle |
Hydrologic Information Systems HIS Hydroinformatics Civil engineering Data Data management Aquatic biology Oceanography Environmental flows Instream flows Texas Chukchi Sea CUAHSI GIS Hersh, Eric Scott The Long Tail of hydroinformatics : implementing biological and oceanographic information in hydrologic information systems |
topic_facet |
Hydrologic Information Systems HIS Hydroinformatics Civil engineering Data Data management Aquatic biology Oceanography Environmental flows Instream flows Texas Chukchi Sea CUAHSI GIS |
description |
text Hydrologic Information Systems (HIS) have emerged as a means to organize, share, and synthesize water data. This work extends current HIS capabilities by providing additional capacity and flexibility for marine physical and chemical observations data and for freshwater and marine biological observations data. These goals are accomplished in two broad and disparate case studies – an HIS implementation for the oceanographic domain as applied to the offshore environment of the Chukchi Sea, a region of the Alaskan Arctic, and a separate HIS implementation for the aquatic biology and environmental flows domains as applied to Texas rivers. These case studies led to the development of a new four-dimensional data cube to accommodate biological observations data with axes of space, time, species, and trait, a new data model for biological observations, an expanded ontology and data dictionary for biological taxa and traits, and an expanded chain-of-custody approach for improved data source tracking. A large number of small studies across a wide range of disciplines comprise the “Long Tail” of science. This work builds upon the successes of the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) by applying HIS technologies to two new Long Tail disciplines: aquatic biology and oceanography. In this regard this research improves our understanding of how to deal with collections of biological data stored alongside sensor-based physical data. Based on the results of these case studies, a common framework for water information management for terrestrial and marine systems has emerged which consists of Hydrologic Information Systems for observations data, Geographic Information Systems for geographic data, and Digital Libraries for documents and other digital assets. It is envisioned that the next generation of HIS will be comprised of these three components and will thus actually be a Water Information System of Systems. Civil, Architectural, and Environmental Engineering |
author2 |
Maidment, David R. Bonner, Timothy Dunton, Kenneth Gilbert, Robert Hodges, Ben McKinney, Daene |
format |
Thesis |
author |
Hersh, Eric Scott |
author_facet |
Hersh, Eric Scott |
author_sort |
Hersh, Eric Scott |
title |
The Long Tail of hydroinformatics : implementing biological and oceanographic information in hydrologic information systems |
title_short |
The Long Tail of hydroinformatics : implementing biological and oceanographic information in hydrologic information systems |
title_full |
The Long Tail of hydroinformatics : implementing biological and oceanographic information in hydrologic information systems |
title_fullStr |
The Long Tail of hydroinformatics : implementing biological and oceanographic information in hydrologic information systems |
title_full_unstemmed |
The Long Tail of hydroinformatics : implementing biological and oceanographic information in hydrologic information systems |
title_sort |
long tail of hydroinformatics : implementing biological and oceanographic information in hydrologic information systems |
publishDate |
2012 |
url |
http://hdl.handle.net/2152/ETD-UT-2012-12-6714 |
geographic |
Arctic Chukchi Sea |
geographic_facet |
Arctic Chukchi Sea |
genre |
Arctic Chukchi Chukchi Sea |
genre_facet |
Arctic Chukchi Chukchi Sea |
op_relation |
http://hdl.handle.net/2152/ETD-UT-2012-12-6714 2152/ETD-UT-2012-12-6714 |
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1766345423467839488 |