Long-Term Pharmaceutical Cost Reduction Using a Data Management System

Archived ITS-generated data can provide a potential resource for many long-term transportation applications. However, missing and suspicious data are inevitable due to detector and communication malfunctions. This paper presents a comparative analysis of various techniques for imputing missing traffic volume data in the archived data management system in Kentucky. The applicability of the techniques, as well as their reliability in terms of data requirement, is also discussed. An implementation strategy for the Kentucky archive data management system is then developed based on the performance and the applicability/reliability analyses.

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SUPPORTING MULTI-SYNCHRONOUS GROUPWARE: DATA MANAGEMENT PROBLEMS AND A SOLUTION

International Journal of Cooperative Information Systems ◽

10.1142/s0218843006001359 ◽

2006 ◽

Vol 15 (02) ◽

pp. 229-258 ◽

Cited By ~ 1

Author(s):

NUNO PREGUIÇA ◽

J. LEGATHEAUX MARTINS ◽

HENRIQUE JOÃO DOMINGOS ◽

SÉRGIO DUARTE

Keyword(s):

Data Management ◽

Data Sharing ◽

Management System ◽

Work Practice ◽

Data Management System ◽

Collaborative Activity ◽

Activity Groups ◽

Automatic Mechanism ◽

Collaborative Activities

It is common that, in a long-term asynchronous collaborative activity, groups of users engage in occasional synchronous sessions. In this paper, we analyze the data management requirements for supporting this common work practice in typical collaborative activities and applications. We call the applications that support such work practice multi-synchronous applications. This analysis shows that, as users interact in different ways in each setting, some applications have different requirements and need to rely on different data sharing techniques in synchronous and asynchronous settings. We present a data management system that allows to integrate a synchronous session in the context of a long-term asynchronous interaction, using the suitable data sharing techniques in each setting and an automatic mechanism to convert the long sequence of small updates produced in a synchronous session into a large asynchronous contribution. We exemplify the use of our approach with two multi-synchronous applications.

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The development of CLINDATA, a clinical trial data management system

Journal of Information Science ◽

10.1177/016555158100300303 ◽

1981 ◽

Vol 3 (3) ◽

pp. 129-136 ◽

Cited By ~ 3

Author(s):

T. Ravenscroft ◽

D.E. Smith

Keyword(s):

Clinical Trial ◽

Data Management ◽

Management System ◽

Clinical Trial Data ◽

Trial Data ◽

Data Management System ◽

Long Term Follow Up ◽

On Line

The paper describes the design and implementation of a clinical trial data management system at the Wellcome Research Laboratories. Based on an IBM 3031 computer, the system provides the capability for on-line data input, search ing and comprehensive data analysis. The database also performs an adverse reaction reporting function and provides for long term follow-up of patients.

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A data management system for long-term natural resource monitoring and management projects with multiple cooperators

Wildlife Society Bulletin ◽

10.1002/wsb.612 ◽

2015 ◽

Vol 39 (4) ◽

pp. 840-841

Author(s):

Victoria M. Hunt ◽

Sarah K. Jacobi ◽

Melinda G. Knutson ◽

Eric V. Lonsdorf ◽

Shawn Papon ◽

...

Keyword(s):

Data Management ◽

Natural Resource ◽

Management System ◽

Data Management System ◽

Resource Monitoring ◽

Natural Resource Monitoring

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A data management system for long-term natural resource monitoring and management projects with multiple cooperators

Wildlife Society Bulletin ◽

10.1002/wsb.547 ◽

2015 ◽

Vol 39 (3) ◽

pp. 464-471 ◽

Cited By ~ 10

Author(s):

Victoria M. Hunt ◽

Sarah K. Jacobi ◽

Melinda G. Knutson ◽

Eric V. Lonsdorf ◽

Shawn Papon ◽

...

Keyword(s):

Data Management ◽

Natural Resource ◽

Management System ◽

Data Management System ◽

Resource Monitoring ◽

Natural Resource Monitoring

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

Advances in Science and Technology ◽

10.4028/www.scientific.net/ast.83.188 ◽

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

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Scientific Research Data Management for Soil-Vegetation-Atmosphere Data – The TR32DB

International Journal of Digital Curation ◽

10.2218/ijdc.v7i2.208 ◽

2012 ◽

Vol 7 (2) ◽

pp. 68-80 ◽

Cited By ~ 4

Author(s):

Constanze Curdt ◽

Dirk Hoffmeister ◽

Guido Waldhoff ◽

Christian Jekel ◽

Georg Bareth

Keyword(s):

Data Management ◽

Interdisciplinary Research ◽

Management System ◽

Scientific Research ◽

Research Data ◽

Data Management System ◽

Research Data Management ◽

Interdisciplinary Research Project ◽

Practical Experiences

The implementation of a scientific research data management system is an important task within long-term, interdisciplinary research projects. Besides sustainable storage of data, including accurate descriptions with metadata, easy and secure exchange and provision of data is necessary, as well as backup and visualisation. The design of such a system poses challenges and problems that need to be solved.This paper describes the practical experiences gained by the implementation of a scientific research data management system, established in a large, interdisciplinary research project with focus on Soil-Vegetation-Atmosphere Data.

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Risk Management on Information Security in ABC Company

ACMIT Proceedings ◽

10.33555/acmit.v4i1.60 ◽

2017 ◽

Vol 4 (1) ◽

pp. 62-66

Author(s):

Luyen Ha Nam

Keyword(s):

Risk Management ◽

Information Security ◽

Data Management ◽

Management System ◽

Risk Mitigation ◽

Data Management System ◽

Data Centre ◽

Long Time ◽

Mitigation Action ◽

Better Than

From long, long time ago until nowadays information still takes a serious position for all aspect of life, fromindividual to organization. In ABC company information is somewhat very sensitive, very important. But how wekeep our information safe, well we have many ways to do that: in hard drive, removable disc etc. with otherorganizations they even have data centre to save their information. The objective of information security is to keep information safe from unwanted access. We applied Risk Mitigation Action framework on our data management system and after several months we have a result far better than before we use it: information more secure, quickly detect incidents, improve internal and external collaboration etc.

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