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 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 Using a DBMS based on various data models in solving problems of cartography and geoinformatics

2021 ◽  
Vol 310 ◽  
pp. 06001
Author(s):  
Alexey A. Kolesnikov ◽  
Pavel M. Kikin
Keyword(s):  
Comparative Analysis ◽  
Spatial Data ◽  
Database Management ◽  
Database Management Systems ◽  
Data Models ◽  
Management Systems ◽  
Spatial Queries ◽  
Vector Data ◽  
Novosibirsk Region

An increasing number of database management systems are expanding their functionality to work with various types of spatial data. This is true for both relational and NoSQL data models. The article describes the main features of those data models for which the functions of storing and processing spatial data are implemented. A comparative analysis of the performance of typical spatial queries for database management systems based on various data models, including multi-model ones, is carried out. The dataset on which the comparison is performed is presented in the form of three blocks of OpenStreetMap vector data for the territory of the Novosibirsk region. Based on the results of the study, recommendations are made on the use of certain data models, depending on the available data and the tasks to be solved.

Integration of cross asset risk assessment into road infrastructure asset management

2015 ◽  
Vol 105 (28) ◽  
pp. 1-7
Author(s):  
Alfred Weninger-Vycudil ◽  
Barbara Brozek ◽  
Roland Spielhofer ◽  
Chris Britton ◽  
Mark Oldfield
Keyword(s):  
Risk Assessment ◽  
Asset Management ◽  
Road Infrastructure ◽  
Asset Risk ◽  
Infrastructure Asset Management

Matters of geoportal interfaces designing

2019 ◽  
Vol 944 (2) ◽  
pp. 46-56
Author(s):  
S.A. Yamashkin ◽  
A.A. Yamashkin ◽  
O.A. Zarubin
Keyword(s):  
Spatial Data ◽  
Interface Design ◽  
Third Party ◽  
Management Systems ◽  
Data Management Systems ◽  
Web Interfaces ◽  
Graphical Interfaces ◽  
Spatial Data Management ◽  
Software Modules ◽  
Cross Platform

The article is devoted to a detailed analysis of the problem of designing graphic geoportal interfaces. The authors formulated the basic points for solving problems in this field, having given the rationale and detailed description of each of them. The emphasis is made on the flexible arrangement of the design and development of interfaces, aiming at the future realities, at the human centricity of the interface design process, at the need for cross-platform adaptive web interfaces, at the preference to use proprietary and third-party software modules over the implementation of spatial data management systems. Lists of basic functional and quality requirements for graphical interfaces of geoportals are given. The geoportal “Natural and cultural heritage of Mordovia” is presented as an illustrative example of the various implementation of graphical user web interfaces. An experimental assessment of the effectiveness of measures to improve geoportal graphical interfaces is given. It is shown that properly over-thought interfaces of geoportal systems can contribute to solving various kinds of problems in many fields.

scholarly journals Water Infrastructure Asset Management Is Evolving

2021 ◽  
Vol 6 (6) ◽  
pp. 90
Author(s):  
Assela Pathirana ◽  
Frank den Heijer ◽  
Paul B Sayers
Keyword(s):  
Asset Management ◽  
Capacity Development ◽  
Water Infrastructure ◽  
Poor State ◽  
Technical Developments ◽  
The Poor ◽  
Development Agenda ◽  
Future Direction ◽  
Relevant Education ◽  
Infrastructure Asset Management

Infrastructure Asset Management (IAM) is the process by which decisions are made and resources allocated to ensure organisational or societal assets continue to deliver, as required. IAM is an evolving field. We discuss this evolution and present our perspectives on the future direction of IAM. IAM was born as a response to the poor state of maintenance of infrastructure, largely due to lack of resources, and emphasizes the need to prioritize maintenance and renewal using risk-based approaches. The demands on IAM have also continued to evolve as asset systems have become more complex, with multifunctionality, adaptative capacity and nature-based infrastructure, all issues that IAM must now consider. These challenges underpin the changing context of Water Infrastructure Asset Management (WIAM) and the opportunity for WIAM to harness new technical developments from other IAM domains. WIAM will need to continue to evolve, responding to these challenges and take advantage of these opportunities through research and application in collaboration with a relevant education and capacity development agenda.

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