Data Management for Integrity Decision Support

2004 ◽  
Author(s):  
Ed Wiegele ◽  
David Nemeth ◽  
Shahani Kariyawasam ◽  
Stuart Clouston
Keyword(s):  
Decision Support ◽  
Data Management ◽  
Low Cost ◽  
Data Access ◽  
Regulatory Compliance ◽  
Data Management System ◽  
Legacy Data ◽  
Day To Day Operations ◽  
The Right ◽  
Decision Support Process

Within most pipeline organizations, maintenance and other facility departments use a range of separate data sources and applications to manage the integrity, maintenance and safety of their pipelines. These databases represent a significant investment over many years and are an integral part of day-to-day operations. It is evident that integration of data into a single, coherent data management system can provide significant benefits. However, the cost of implementing entirely new systems — with intensive data capture programs — is difficult to justify given the earlier investments. As a result, dedicated risk management software using static and separately maintained data is often used as a quick, low cost alternative to meet regulatory compliance commitments. Experience has shown that, with the right technology and an understanding of the specific needs of an organisation, a phased approach to integrated data management can be achieved at minimum initial cost by exploiting legacy data. This provides a low cost yet scalable solution that can grow with the changing needs of the business. In addition to the benefits of legacy data integration, this paper presents an insight into the additional benefits of technologies for distributed data access to provide simple, process-focussed reporting tools. The key role of data management in risk assessment and consequent integrity decision support process is discussed.

Sensor Grid Enhancement with Data Management System for Ubiquitous Healthcare Computing

2013 ◽  
pp. 184-210
Author(s):  
Nikolaos Preve
Keyword(s):  
Data Management ◽  
Network Architecture ◽  
Management System ◽  
Data Access ◽  
Sensor Nodes ◽  
Data Management System ◽  
Biomedical Sensors ◽  
Communication Ability ◽  
Open Geospatial Consortium ◽  
Network Technologies

A Wireless Sensor Network (WSN) can be deployed to monitor the health of patients suffering from critical diseases. A wireless network consisting of biomedical sensors can also be implanted into the patient's body and can monitor the patients' conditions. These sensor devices, apart from having an enormous capability of collecting data from their physical surroundings, are also resource constraint in nature with a limited processing and communication ability. Therefore, it is necessary to integrate them with the Grid technology in order to process and store the collected data by the sensor nodes. This chapter proposes the SEnsor Grid Enhancement Data Management system, called SEGEDMA, ensuring the integration of different network technologies and the continuous data access to system users. The main contribution of this work is to achieve the interoperability of both technologies through a novel network architecture ensuring also the interoperability of Open Geospatial Consortium (OGC) and HL7 standards. According to the results SEGEDMA can be applied successfully in a decentralized healthcare environment.

Meter Data Management System with Multi-Channel Power Supply and Matrix Electrical Measurements

2013 ◽  
Vol 303-306 ◽  
pp. 995-1001
Author(s):  
Chin Shun Hsu ◽  
Chao Yang Lee ◽  
Feng Sheng Hsu ◽  
Chu Sing Yang
Keyword(s):  
Data Management ◽  
Power Supply ◽  
Management System ◽  
Power Flow ◽  
Low Cost ◽  
Data Management System ◽  
Electrical Measurements ◽  
Channel Power ◽  
Measurement Control ◽  
Switch Circuit

Today, due to the increase in smart grid and DC appliances implement the use of renewable energy, the power consumption of equipment and appliances can be monitored by smart outlet or smart meter. However, if every devices are installed a meter will be very expensive and lack of flexibility. This work proposes a combination of multi-channel power supply and matrix measurement of electrical meter data management system to increase system built facilitate and promote greater consumption analysis flexibility and benefits. The proposed method includes a programmable logic controller (PLC)based Multi-channel power supply switch circuit (MPSC), measurement control circuit and Zigbee intelligent socket (Smart Outlet) for collecting and controlling the power flow with wireless communication. Three types of wireless metering methods are used to compare cost and metering error rate. The experimental results reveal this work can be an efficient and low-cost metering solution.

scholarly journals Oil Spill Management Systems for Shoreline Cleanup, Planning and Cleanup Cost Claim Support

1999 ◽  
Vol 1999 (1) ◽  
pp. 915-918
Author(s):  
Andrew Tyler ◽  
Jan Rusin ◽  
Tim Lunel ◽  
Peter Wood
Keyword(s):  
Decision Support ◽  
Data Management ◽  
Oil Spill ◽  
Daily Basis ◽  
Data Management System ◽  
Contingency Planning ◽  
Future Assessment ◽  
Planning Decision ◽  
Data Elements ◽  
Cleanup Cost

ABSTRACT Data management during oil spill incidents is vital in ensuring that response staff are properly informed and an audit trail is maintained for future assessment of the response and support for cost claims. This paper describes the development of an integrated contingency planning, decision support and data management system that has benefited from application during a major spill. The system is able to store and visualise via GIS, the key data elements from the contingency plan. This data is then used within an expert system to provide decision support for cleanup activities and resource allocation costing. The data management databases generates field reporting forms which are reflected in the database so that information can be directly transferred into the computer on a daily basis. The resulting database is available on an on-going basis for response staff to access and at the end of incident, forms a definitive record of response activity and resource usage.

MEDIC: An on Site Designed Data Management System for Cardiology

1979 ◽  
Vol 18 (04) ◽  
pp. 199-202 ◽  
Author(s):  
F. Lustman ◽  
P. Lanthier ◽  
D. Charbonneau
Keyword(s):  
Data Management ◽  
Management System ◽  
Selection Process ◽  
Low Cost ◽  
Database Management System ◽  
Data Management System ◽  
Data Quality Control ◽  
Data Definition ◽  
And Performance ◽  
Data Independence

A patient-oriented data management system is described. The environment was cardiology with a heavy emphasis on research and the MEDIC system was designed to meet the day to day program needs. The data are organized in speciality files with dynamic patient records composed of subrecords of different types. The schema is described by a data definition language. Application packages include data quality control, medical reporting and general inquiry.After five years of extensive use in various clinical applications, its utility has been assessed as well as its low cost. The disadvantages, the main being the multifile structure, can now be stated as its advantages, like data independence and performance increase. Although the system is now partially outdated, the experience acquired with its use becomes very helpful in the selection process of the future database management system.

Choosing an Engineering Object Data Management System

1992 ◽  
Author(s):  
Chet Wood
Keyword(s):  
Data Management ◽  
Management System ◽  
Database Management ◽  
Object Oriented ◽  
Database Management System ◽  
Data Management System ◽  
Object Database ◽  
The Right ◽  
Data Requirements ◽  
Object Oriented Database

Abstract An Object Database Management System (ODMS) can be a very useful component when developing applications for use in engineering and manufacturing. Choosing the right product requires a thorough analysis of the data requirements of one’s application, and an equally thorough study of the characteristics of the vendor products. Over a period of about two years, data was gathered on the products of object oriented database manufacturers and researchers. As an example of how to analyze database requirements, an overview of the requirements of our application is presented, followed by a tutorial on the elements and features provided by an ODMS. A brief description is given of each of about a dozen products. Finally, there are tables comparing specific features of a number of these systems.

scholarly journals Data management pipeline for plant phenotyping in a multisite project

2012 ◽  
Vol 39 (11) ◽  
pp. 948 ◽  
Author(s):  
Kenny Billiau ◽  
Heike Sprenger ◽  
Christian Schudoma ◽  
Dirk Walther ◽  
Karin I. Köhl
Keyword(s):  
Data Management ◽  
Data Storage ◽  
Data Exchange ◽  
Data Access ◽  
Data Management System ◽  
Plant Phenotyping ◽  
Data Types ◽  
File Server ◽  
Management Concepts ◽  
Term Basis

In plant breeding, plants have to be characterised precisely, consistently and rapidly by different people at several field sites within defined time spans. For a meaningful data evaluation and statistical analysis, standardised data storage is required. Data access must be provided on a long-term basis and be independent of organisational barriers without endangering data integrity or intellectual property rights. We discuss the associated technical challenges and demonstrate adequate solutions exemplified in a data management pipeline for a project to identify markers for drought tolerance in potato. This project involves 11 groups from academia and breeding companies, 11 sites and four analytical platforms. Our data warehouse concept combines central data storage in databases and a file server and integrates existing and specialised database solutions for particular data types with new, project-specific databases. The strict use of controlled vocabularies and the application of web-access technologies proved vital to the successful data exchange between diverse institutes and data management concepts and infrastructures. By presenting our data management system and making the software available, we aim to support related phenotyping projects.

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