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Krisnadhi A.,Wright State University | Krisnadhi A.,University of Indonesia | Hu Y.,University of California at Santa Barbara | Janowicz K.,University of California at Santa Barbara | And 18 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2015

GeoLink is one of the building block projects within Earth- Cube, a major effort of the National Science Foundation to establish a next-generation knowledge infrastructure for geosciences. As part of this effort, GeoLink aims to improve data retrieval, reuse, and integration of seven geoscience data repositories through the use of ontologies. In this paper, we report on the GeoLink modular ontology, which consists of an interlinked collection of ontology design patterns engineered as the result of a collaborative modeling effort. We explain our design choices, present selected modeling details, and discuss how data integration can be achieved using the patterns while respecting the existing heterogeneity within the participating repositories. © Springer International Publishing Switzerland 2015. Source


Cowles T.,Consortium for Ocean Leadership | Delaney J.,University of Washington | Orcutt J.,University of California at San Diego | Weller R.,WoodsHoleOceanographic Institution
Marine Technology Society Journal | Year: 2010

The Ocean Observatory Initiative of the U.S. National Science Foundation is working to advance the ocean sciences by developing the infrastructure for sustained ocean observations at key coastal and open ocean locations. The effort comprises two coastal arrays, four global arrays in the deep ocean, a cabled observatory over the Juan de Fuca tectonic plate, and a sophisticated cyberinfrastructure. The initial installations will be completed by 2015, and 25 years of operation will follow. This article provides an overview of the Ocean Observatory Initiative, followed by more detail about the coastal, regional, and global components. Science drivers are reviewed first. Then, the platforms to be deployed at each site, both moorings and mobile platforms, are described, as are the planned, multidisciplinary core sensors. All data will be freely available. Source


Sedberry G.R.,National Oceanic and Atmospheric Administration | Fautin D.G.,University of Kansas | Feldman M.,Consortium for Ocean Leadership | Fornwall M.D.,U.S. Geological Survey | And 2 more authors.
Oceanography | Year: 2011

The United States Geological Survey's Biological Informatics Program hosts OBIS-USA, the US node of the Ocean Biogeographic Information System (OBIS). OBIS-USA gathers, coordinates, applies standard formats to, and makeswidely available data on biological collections in marine waters of the United States and other areas where US investigators have collected data and, in some instances, specimens. OBIS-USA delivers its data to OBIS international, which then delivers its data to the Global Biodiversity Information Facility (GBIF) and other Web portals for marine biodiversity data. OBIS-USA currently has 145 data sets from 36 participants, representing over 6.5 million occurrence records of over 83,000 taxa from more than 888,000 locations. OBIS-USA, a legacy of the decade-long (2001-2010) international collaborative Census of Marine Life enterprise, continues to add data, including those from ongoing Census projects. Among the many challenges in creating OBIS, including OBIS-USA, were developing a community of trust and shared valueamong data providers, and demonstrating to providers the value of making their data accessible to others. Challenges also posed by the diversity of data sets relevant tomarine biodiversity stored on thousands of computers, in a variety of formats, not all widely accessible, have been met in OBIS-USA by implementing a uniform standard and publishing platform that is easily accessible to a broad range of users. © 2011 by The Oceanography Society. All rights reserved. Source


Gagosian R.B.,Consortium for Ocean Leadership
Sea Technology | Year: 2012

The presence of the Deepwater Horizon oil spill in 2010, the largest oil spill in the US history, still looms, not only in the field of ocean science but within our entire nation. Immediately following the spill, Ocean Leadership and its members became involved in the scientific response by inviting ocean experts to a meeting at the EPA in May 2010. America needs a reliable, secure and reasonably priced supply of energy. Many agree the time is now for the nation to promote an 'all-of-the-above' energy policy. Overall, both of President Barack Obama's federal budget requests for fiscal years 2011 and 2012 maintained a strong commitment to investing in scientific research. But with a heavy deficit, the initially large proposed increases were soon deemed unacceptable by Congress. The political climate remained tense as the federal debt ceiling debates heightened during the summer. Source


McCurdy A.,Consortium for Ocean Leadership
2014 Oceans - St. John's, OCEANS 2014 | Year: 2015

Operating as an enterprise ocean observing governance groups would be able to better articulate how they interface with each other and stimulate a common vision for the execution of goals and outcomes. By providing a roadmap toward a tighter alignment between objectives and capabilities, an Enterprise Architecture comprised primarily of the Foundation for Execution and an Operating Model, helps identify the processes, data, technologies, and user interfaces necessary to meet evolving scientific and societal needs of the system. Beyond a firm understanding of core processes as defined by the Framework, and pivotal to the evolution of an enterprise, is the adoption of an Operating Model. Through a Foundation for Execution an Operating Model provides the organizing logic for system processes and requirements. Making decisions in accordance with an Operating Model helps remove assumptions and to identify observing elements and programs that fit ongoing strategic objectives. It assists with the development of agreements on what are core elements, and forces clarification on a workable vision. © 2014 IEEE. Source

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