scholarly journals Setting the Stage – The Life Cycle of Bio-logging Data: Origin, Mobilization and Data Exchange

2018 ◽  
Vol 2 ◽  
pp. e25914
Author(s):  
Holger Dettki ◽  
Peggy Newman ◽  
Sarah Davidson ◽  
Francesca Cagnacci
Keyword(s):  
Life Cycle ◽  
Spatial Data ◽  
Data Exchange ◽  
Meta Analysis ◽  
Physiological Data ◽  
Biodiversity Data ◽  
Mass Size ◽  
Machine Readable ◽  
Exchange Data

In recent years, bio-logging data, automatically gathered by sensors deployed on animals, has become one of the fastest growing sources of biodiversity data. This is largely due to the steadily declining mass, size and costs of sensors, continuously opening new opportunities to monitor new species. While previously ‘tracking data’—data from spatially enabled sensors such as GPS sensors—was most prominent, currently almost 70% of all bio-logging data is comprised of non-spatial data as e.g., physiological data. In contrast to the biodiversity data community, where standards to mobilize and exchange data are relatively well established, the bio-logging community is still lacking standards to transport data from sensors into repositories, or to mobilize data in a standardized format from different repositories to enable cooperation between users, shared software tools, data aggregation for meta-analysis, or a consistent format for long-term archiving. To set the stage for a discussion about standards for bio-logging data to be developed or adapted, we present a mind map describing the different pathways of bio-logging data during its life cycle, and the opportunities for standardization within this cycle. As an example we present the use of the Open Geospatial Consortium (OGC) ‘SensorML’ and ‘Observations & Measurements’ standards to transfer bio-logging data from a sensor to a repository and ultimately to a user for subsequent analysis. These standards provide machine-readable methods for describing bio-logging sensors and the measurements they collect, offering a standardized structure that can be customized by the bio-logging community (e.g. with standardized vocabularies) to achieve interoperability.

scholarly journals ONTOLOGY AND PRESENTATION OF CULTURAL HERITAGE MANAGEMENT AND MAINTENANCE: A CASE STUDY OF QIONG-LIN SETTLEMENT IN KINMEN

2021 ◽  
Vol XLVI-M-1-2021 ◽  
pp. 895-900
Author(s):  
Y. N. Yen ◽  
W. B. Yang
Keyword(s):  
Life Cycle ◽  
Cultural Heritage ◽  
Data Exchange ◽  
Heritage Management ◽  
International Exchange ◽  
National Database ◽  
Physical Thing ◽  
Basic Work ◽  
International Data

Abstract. The management and interpretation of cultural heritage is an important international conservation issue. The construction of long-term sustainable international exchange information will help to present and promote the interpretation of intention for the cultural heritage. The Arches system platform of this study presents the concept of the life cycle of cultural heritage, and establishes the thesauri and metadata in the management and maintenance stage of Taiwan's monuments, which can mapping to the entity of relevant ontology, covering the contents required by previous visits and related needs interviews, while the detailed description part is still filled with the entity of description; the presentation platform is no longer limited to the vertical or horizontal query of the existing national database and can integrate categories, keywords, maps and other ways to present related knowledge, and expand to the system according to a physical thing, actor, activity and other entities, so as to enhance the functionality of user search. We should make long-term planning to establish complete metadata and ontology model of the tangible and intangible life cycle, provide the development direction of the national cultural heritage database and provide the basic work of international data exchange in the future.

scholarly journals Standard data models for interoperability of municipal infrastructure asset management systems

2006 ◽  
Vol 33 (12) ◽  
pp. 1459-1469 ◽  
Author(s):  
Mahmoud R Halfawy ◽  
Dana J Vanier ◽  
Thomas M Froese
Keyword(s):  
Life Cycle ◽  
Spatial Data ◽  
Asset Management ◽  
Data Exchange ◽  
Hydraulic Modeling ◽  
Data Models ◽  
Management Systems ◽  
Data Standards ◽  
Standard Data ◽  
Infrastructure Asset Management

Efficient management of infrastructure assets depends largely on the ability to efficiently share, exchange, and manage asset life-cycle information. Although software tools are used to support almost every asset management process in municipalities, data exchange is mainly performed using paper-based or neutral file formats based on ad hoc proprietary data models. Interoperability of various asset management systems is crucial to support better management of infrastructure data and to improve the information flow between various work processes. Standard data models can be used to significantly improve the availability and consistency of asset data across different software systems, to integrate data across various disciplines, and to exchange information between various stakeholders. This paper surveys a number of data standards that might be used in implementing interoperable and integrated infrastructure asset management systems. The main requirements for standard data models are outlined, and the importance of interoperability from an asset management perspective is highlighted. The role that spatial data and geographic information systems (GIS) can play in enhancing the efficiency of managing asset life-cycle data is also discussed. An ongoing effort to develop a standard data model for sewer systems is presented, and an example implementation of interoperable GIS and hydraulic modeling software is discussed.Key words: data standards, municipal infrastructure, asset management, data models, interoperability.

scholarly journals The Finnish Biodiversity Information Facility as a best-practice model for biodiversity data infrastructures

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Leif Schulman ◽  
Kari Lahti ◽  
Esko Piirainen ◽  
Mikko Heikkinen ◽  
Olli Raitio ◽  
...  
Keyword(s):  
Life Cycle ◽  
Spatial Data ◽  
National Level ◽  
Data Types ◽  
Biodiversity Data ◽  
Local Data ◽  
Global Biodiversity Information Facility ◽  
Data Life Cycle ◽  
Data Infrastructures ◽  
Biodiversity Information

AbstractBiodiversity informatics has advanced rapidly with the maturation of major biodiversity data infrastructures (BDDIs), such as the Global Biodiversity Information Facility sharing unprecedented data volumes. Nevertheless, taxonomic, temporal and spatial data coverage remains unsatisfactory. With an increasing data need, the global BDDIs require continuous inflow from local data mobilisation, and national BDDIs are being developed around the world. The global BDDIs are specialised in certain data types or data life cycle stages which, despite possible merits, renders the BDDI landscape fragmented and complex. That this often is repeated at the national level creates counterproductive redundancy, complicates user services, and frustrates funders. Here, we present the Finnish Biodiversity Information Facility (FinBIF) as a model of an all-inclusive BDDI. It integrates relevant data types and phases of the data life cycle, manages them under one IT architecture, and distributes the data through one service portal under one brand. FinBIF has experienced diverse funder engagement and rapid user uptake. Therefore, we suggest the integrated and inclusive approach be adopted in national BDDI development.

Development of a Visualized Data Management System for Life-Cycle Health Monitoring of Civil Structures

2012 ◽  
Vol 83 ◽  
pp. 188-197
Author(s):  
Ke Chang Lin ◽  
Yi Qing Ni ◽  
Xiao Wei Ye ◽  
Kai Yuan Wong
Keyword(s):  
Life Cycle ◽  
Data Management ◽  
Health Monitoring ◽  
Spatial Data ◽  
Management System ◽  
Large Scale ◽  
Monitoring Data ◽  
Data Management System ◽  
Civil Structures

The data management system (DMS) is an essential part for long-term structural health monitoring (SHM) systems, which stores a pool of monitoring data for various applications. A robust database within a DMS is generally used to archive, manage and update life-cycle information of civil structures. However, many applications especially those to large-scale structures provide little support for visualizing the long-term monitoring data. This paper presents the development of an efficient visualized DMS by integrating 4-dimension (4D) model technology, nested relational database, and virtual reality (VR) technology. Spatial data of the 4D model are organized in nested tables, while real-time (temporal) monitoring data are linked to the 4D model. The model is then reconstructed by use of an OpenSceneGraph 3D engine. A user interface is developed to query the database and display the data via the 4D model. To demonstrate its efficiency, the proposed method has been applied to the Canton Tower, a supertall tower-like structure instrumented with a long-term SHM system

Endoscopic Endonasal Approach for Craniopharyngiomas with Intraventricular Extension: Long-Term Outcomes and Meta-analysis

2020 ◽  
Author(s):  
Hanna Algattas ◽  
Pradeep Setty ◽  
Ezequiel Goldschmidt ◽  
Eric W. Wang ◽  
Elizabeth Tyler-Kabara ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Endoscopic Endonasal Approach ◽  
Endonasal Approach ◽  
Long Term Outcomes ◽  
Endoscopic Endonasal

Mechanical thrombectomy in pediatric stroke: systematic review, individual patient data meta-analysis, and case series

2019 ◽  
Vol 24 (5) ◽  
pp. 558-571 ◽  
Author(s):  
Kartik Bhatia ◽  
Hans Kortman ◽  
Christopher Blair ◽  
Geoffrey Parker ◽  
David Brunacci ◽  
...  
Keyword(s):  
Systematic Review ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Mechanical Thrombectomy ◽  
Case Reports ◽  
Meta Analysis ◽  
Case Series ◽  
Neurological Outcomes

OBJECTIVEThe role of mechanical thrombectomy in pediatric acute ischemic stroke is uncertain, despite extensive evidence of benefit in adults. The existing literature consists of several recent small single-arm cohort studies, as well as multiple prior small case series and case reports. Published reports of pediatric cases have increased markedly since 2015, after the publication of the positive trials in adults. The recent AHA/ASA Scientific Statement on this issue was informed predominantly by pre-2015 case reports and identified several knowledge gaps, including how young a child may undergo thrombectomy. A repeat systematic review and meta-analysis is warranted to help guide therapeutic decisions and address gaps in knowledge.METHODSUsing PRISMA-IPD guidelines, the authors performed a systematic review of the literature from 1999 to April 2019 and individual patient data meta-analysis, with 2 independent reviewers. An additional series of 3 cases in adolescent males from one of the authors’ centers was also included. The primary outcomes were the rate of good long-term (mRS score 0–2 at final follow-up) and short-term (reduction in NIHSS score by ≥ 8 points or NIHSS score 0–1 at up to 24 hours post-thrombectomy) neurological outcomes following mechanical thrombectomy for acute ischemic stroke in patients < 18 years of age. The secondary outcome was the rate of successful angiographic recanalization (mTICI score 2b/3).RESULTSThe authors’ review yielded 113 cases of mechanical thrombectomy in 110 pediatric patients. Although complete follow-up data are not available for all patients, 87 of 96 (90.6%) had good long-term neurological outcomes (mRS score 0–2), 55 of 79 (69.6%) had good short-term neurological outcomes, and 86 of 98 (87.8%) had successful angiographic recanalization (mTICI score 2b/3). Death occurred in 2 patients and symptomatic intracranial hemorrhage in 1 patient. Sixteen published thrombectomy cases were identified in children < 5 years of age.CONCLUSIONSMechanical thrombectomy may be considered for acute ischemic stroke due to large vessel occlusion (ICA terminus, M1, basilar artery) in patients aged 1–18 years (Level C evidence; Class IIb recommendation). The existing evidence base is likely affected by selection and publication bias. A prospective multinational registry is recommended as the next investigative step.

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