scholarly journals CoDEC: Connected Data For Road Infrastructure Asset Management

2021 ◽  
Vol 1202 (1) ◽  
pp. 012002
Author(s):  
Sukalpa Biswas ◽  
John Proust ◽  
Tadas Andriejauskas ◽  
Alex Wright ◽  
Carl van Geem ◽  
...  
Keyword(s):  
Asset Management ◽  
Current Status ◽  
Data Sets ◽  
Data Accessibility ◽  
Road Infrastructure ◽  
Fully Integrated ◽  
Current Asset ◽  
Integrated Or ◽  
Asset Data ◽  
Infrastructure Asset Management

Abstract Road infrastructure asset management is rapidly transforming into a digital environment where data accessibility, effective integration and collaboration and accessibility from different sources and assets are key. However, current asset management processes are not yet fully integrated or linked, and there are incompatibilities between various systems and platforms that limit the ability to integrate asset management with BIM. The CoDEC project has sought to understand the current status of information management for assets, including inventory, condition and new data sources such as sensors and scanning systems, to identify the challenges and needs for linking and integrating different data sets to support effective asset management. As a result, CoDEC has developed a data dictionary framework to help link/integrate static and dynamic data for the “key” infrastructure assets (road pavements, bridges, tunnels). This will enable BIM and Asset Management Systems (AMS) to exchange data and help optimise and integrate data management across systems and throughout the different asset lifecycle phases, from build to operation. This work will be followed up with three pilot projects to demonstrate the feasibility of integrating asset data from various sources through linked data/semantic web technology to build the connection between AMS and BIM platforms.

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

scholarly journals Data integration for infrastructure asset management in small to medium-sized water utilities

2020 ◽  
Vol 82 (12) ◽  
pp. 2737-2744
Author(s):  
N. Carriço ◽  
B. Ferreira ◽  
R. Barreira ◽  
A. Antunes ◽  
C. Grueau ◽  
...  
Keyword(s):  
Information Management ◽  
Asset Management ◽  
Water Utilities ◽  
Data Sets ◽  
Sources Of Information ◽  
Management Efficiency ◽  
Portuguese Water ◽  
And Performance ◽  
Asset Managers ◽  
Infrastructure Asset Management

Abstract Water utilities collect, store and manage vast data sets using many information systems (IS). For infrastructure asset management (IAM) planning those data need to be processed and transformed into information. However, information management efficiency often falls short of desired results. This happens particularly in municipalities where management is structured according to local government models. Along with the existing IS at the utilities' disposal, engineers and managers take their decisions based on information that is often incomplete, inaccurate or out-of-date. One of the main challenges faced by asset managers is integrating the several, often conflicting, sources of information available on the infrastructure, its condition and performance, and the various predictive analyses that can assist in prioritizing projects or interventions. This paper presents an overview of the IS used by Portuguese water utilities and discusses how data from different IS can be integrated in order to support IAM.

scholarly journals Defining road service to facilitate road infrastructure asset management

2020 ◽  
Vol 7 (4) ◽  
pp. 240-255 ◽  
Author(s):  
Bryan T Adey ◽  
Marcel Burkhalter ◽  
Claudio Martani
Keyword(s):  
Asset Management ◽  
Road Infrastructure ◽  
Infrastructure Asset Management

scholarly journals GeneXX: an online tool for the exploration of transcript changes in skeletal muscle associated with exercise

2018 ◽  
Vol 50 (5) ◽  
pp. 376-384 ◽  
Author(s):  
Saskia Reibe ◽  
Marit Hjorth ◽  
Mark A. Febbraio ◽  
Martin Whitham
Keyword(s):  
Skeletal Muscle ◽  
Meta Analysis ◽  
Data Sets ◽  
Biological Processes ◽  
Muscle Adaptation ◽  
Online Tool ◽  
Fully Integrated ◽  
Research Questions ◽  
Integrated Or ◽  
Adaptation To Exercise

Exercise stimulates a wide array of biological processes, but the mechanisms involved are incompletely understood. Many previous studies have adopted transcriptomic analyses of skeletal muscle to address particular research questions, a process that ultimately results in the collection of large amounts of publicly available data that has not been fully integrated or interrogated. To maximize the use of these available transcriptomic exercise data sets, we have downloaded and reanalyzed them and formulated the data into a searchable online tool, geneXX. GeneXX is highly intuitive and free and provides immediate information regarding the response of a transcript of interest to exercise in skeletal muscle. To demonstrate its utility, we carried out a meta-analysis on the included data sets and show transcript changes in skeletal muscle that persist regardless of sex, exercise mode, and duration, some of which have had minimal attention in the context of exercise. We also demonstrate how geneXX can be used to formulate novel hypotheses on the complex effects of exercise, using preliminary data already generated. This resource represents a valuable tool for researchers with interests in human skeletal muscle adaptation to exercise.

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