56 research outputs found

    SeaView : bringing together an ocean of data

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    Author Posting. © The Oceanography Society, 2018. This article is posted here by permission of The Oceanography Society for personal use, not for redistribution. The definitive version was published in Oceanography 31, no. 1 (2018): 71, doi:10.5670/oceanog.2018.111.The Ocean Observatories Initiative (OOI) supports a comprehensive information management system for data collected by OOI assets, providing access to a wealth of new information for scientists. But what of those wishing to access data from the region of an OOI research array that is not from OOI assets, perhaps to look at longer term trends from before the launch of OOI, or to build a larger regional context? Despite the excellent work of ocean data repositories, finding, accessing, understanding, and reformatting data for use in a desired visualization or analysis tool remains challenging, especially when data are held in multiple repositories

    Explant analysis of AneuRx stent grafts: relationship between structural findings and clinical outcome

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    AbstractObjectiveWe reviewed the structural findings of explanted AneuRx stent grafts used to treat abdominal aortic aneurysms, and relate the findings to clinical outcome measures.MethodsWe reviewed data for all bifurcated AneuRx stent grafts explanted at surgery or autopsy and returned to the manufacturer from the US clinical trial and worldwide experience of more than 33,000 implants from 1996 to 2003. Devices implanted for more than 1 month with structural analysis are included in this article. Explant results were analyzed in relation to cause of explantation and pre-explant evidence of endoleak, enlargement, or device migration.ResultsOne hundred twenty explanted stent grafts, including 37 from the US clinical trial, were analyzed. Mean implant duration was 22 ± 13 months (range, 1-61 months). Structural abnormalities included stent fatigue fractures, fabric abrasion holes, and suture breaks. The mean number of nitinol stent strut fractures per explanted device was 3 ± 4, which represents less than 0.2% of the total number of stent struts in each device. The mean number of fabric holes per explanted device was 2 ± 3, with a median hole size of 0.5 mm2. Suture breaks were seen in most explanted devices, but composed less than 1.5% of the total number of sutures per device. “For cause” explants (n = 104) had a 10-month longer implant duration (P = .007) compared with “incidental” explants (n = 16). “For cause” explants had more fractures (3 ± 5; P = .005) and fabric holes (2 ± 3; P = .008) per device compared with “incidental” explants, but these differences were not significant (P = .3) when adjusted for duration of device implantation. Among clinical trial explants the number of fabric holes in grafts in patients with endoleak (2 ± 3 per device) was no different from those without endoleak (3 ± 4 per device; P = NS). The number of fatigue fractures or fabric holes was no different in grafts in clinical trial patients with pre-explant aneurysm enlargement compared with those without enlargement. Pre-explant stent-graft migration was associated with a greater number of stent strut fractures (5 ± 7 per device; P = .04) and fabric holes (3 ± 3 per bifurcation; P = .03) compared with explants without migration. Serial imaging studies revealed inadequate proximal, distal, or junctional device fixation as the probable cause of rupture or need for conversion to open surgery in 86% of “for cause” explants. Structural device abnormalities were usually remote from fixation sites, and no causal relationship between device findings and clinical outcome could be established.ConclusionsNitinol stent fatigue fractures, fabric holes, and suture breaks found in explanted AneuRx stent grafts do not appear to be related to clinical outcome measures. Longer term studies are needed to confirm these observations

    The advantages of machine aided co-reference resolution for research cruise metadata

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    Presented at Linking Environmental Data and Samples, Commonwealth Scientific and Industrial Research Organization (CSIRO), Canberra, Australia, 29 May - 2 June 2017One of the central incentives of deploying linked open data is the opportunity to leverage the linkages between source datasets to retrieve related information. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) reaps these benefits by linking its cruise-level metadata to the Rolling Deck to Repository (R2R) – the trusted, authoritative source for cruises undertaken by the U.S. academic research fleet. Even though the process of identifying a link between these two repositories is easy for a human, this talk will explore the advantages of using a machine-aided process to suggest links to R2R cruises to a BCO-DMO data manager.NSF #143557

    An Ontology Pattern for Oceanographic Cruises: Towards an Oceanographer\u27s Dream of Integrated Knowledge Discovery

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    EarthCube is a major effort of the National Science Foundation to establish a next-generation knowledge architecture for the broader geosciences. Data storage, retrieval, access, and reuse are central parts of this new effort. Currently, EarthCube is organized around several building blocks and research coordination networks. OceanLink is a semantics enabled building block that aims at improving data retrieval and reuse via ontologies, Semantic Web technologies, and Linked Data for the ocean sciences. Cruises, in the sense of research expeditions, are central events for ocean scientists. Consequently, information about these cruises and the involved vessels has to be shared and made retrievable. For example, the ability to find cruises in the vicinity of physiographic features of interest, e.g., a hydrothermal vent field or a fracture zone, is of primary interest for oceanographers. In this paper, we use a design pattern-centric strategy to engineer ontologies for OceanLink. We provide a formal axiomatization of the introduced patterns and ontologies using the Web Ontology Language, explain design choices, discuss the re-usability of our models, and provide lessons learned for the future geo-ontologies

    Rescue of long-tail data from the ocean bottom to the Moon: IEDA Data Rescue Mini-Awards

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    Over the course of a scientific career, a large fraction of the data collected by scientific investigators turns into data at risk of becoming inaccessible to future science. Although a part of the investigators’ data is made available in manuscripts and databases, other data may remain unpublished, non-digital, on degrading or near obsolete digital media, or inadequately documented for reuse. In 2013, Integrated Earth Data Applications (IEDA) provided data rescue mini-awards to three Earth science investigators. IEDA’s user communities in geochemistry, petrology, geochronology, and marine geophysics collect long-tail data, defined as data produced by individuals and small teams for specific projects, tending to be of small volume and initially for use only by these teams, thus being less likely to be easily transferred or reused. Long-tail data are at greater risk of omission from the scientific record. The awarded projects topics were (1) Geochemical and Geochronological data on volcanic rocks from the Fiji, Izu-Bonin-Mariana arc, and Endeavor segments of the global mid-ocean ridge, (2) High-Resolution, Near-bottom Magnetic Field Data, and (3) Geochemistry of Lunar Glasses. IEDA worked closely with the awardees to create a plan for the data rescue, resulting in the registration of hundreds of samples and the entry of dozens of data and documentation files into IEDA data systems. The data were made openly accessible and citable by assigning persistent identifiers for samples and files. The mini-award program proved that a relatively small incentive combined with data facility guidance can motivate investigators to accomplish significant data rescue
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