A web-based platform for terrestrial data repository from Chicken Creek catchment

Efforts toward optimized building management and operation require monitoring data from multiple sources. Experiences from previous research projects underline the need for an easily adaptable, low-cost, and easy to set up monitoring infrastructure that could provide data for modeling and performance evaluation. The increasing availability of small and powerful development boards (e.g. Raspberry Pi BeagleBoard or Arduino) facilitates the implementation of a cost-efficient infrastructure for data collection and building monitoring. For the purpose of the present contribution, the Arduino Yún was used to create a data logger that obtains data from wireless sensors, stores it locally, and syncs it with a data repository. Toward this end, we have developed a web-based user interface that enables the user to evaluate various aspects of the monitored building's performance. The communication between the software components is implemented via RESTful interfaces and enables the user to integrate also other data sources such as web services. The paper includes an actual implementation of the above approach. Thereby, we illustrate how the constitutive system components can be integrated in terms of a versatile monitoring system with multiple utilities in terms of building performance assessment and building diagnostics.

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AHCODA-DB: a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data

BMC Bioinformatics ◽

10.1186/s12859-017-1612-1 ◽

2017 ◽

Vol 18 (1) ◽

Cited By ~ 1

Author(s):

Bastijn Koopmans ◽

August B. Smit ◽

Matthijs Verhage ◽

Maarten Loos

Keyword(s):

Data Repository ◽

Web Based ◽

Mining Tools

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Web-Based Data Inquiry and Real-Time Control of Structural Health Monitoring Sensor Networks

Volume 3: ASME/IEEE 2009 International Conference on Mechatronic and Embedded Systems and Applications; 20th Reliability, Stress Analysis, and Failure Prevention Conference ◽

10.1115/detc2009-87772 ◽

2009 ◽

Author(s):

Bo Chen ◽

Wenjia Liu ◽

Jinjiang Wang ◽

Justin Slepak

Keyword(s):

Real Time ◽

Operating Mode ◽

Sensor Nodes ◽

Sensor Data ◽

Data Repository ◽

Real Time Control ◽

Web Based ◽

Structural Health ◽

Time Control ◽

Data Inquiry

This paper presents a Web-based data inquiry and real-time control of sensor’s operating mode for structural health monitoring sensor networks. The main objective of the presented system is to provide a Web interface for real-time sensor data visualization, sensor-level damage diagnosis, and control of sensor’s operating mode. Web services are available both on distributed sensor nodes and a data repository machine. Users can request Web pages hosted on the sensor nodes or the data repository machine by specifying corresponding sensor IDs. The ability of directly accessing data on sensor nodes via internet allows users to monitor a structure’s performance in a timely manner. The damage diagnosis algorithms implemented on the sensor nodes help users to assess the structural health conditions without the need of transmitting sensor data to a central data station. The presented system also provides the capability of dynamically changing sensor’s operating mode through the Web interface. This feature greatly enhances the flexibility of the system to accommodate different sensing needs and achieve a long lifespan. The system has been tested in the Laboratory to validate its capabilities.

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The Study Team for Early Life Asthma Research (STELAR) consortium ‘Asthma e-lab’: team science bringing data, methods and investigators together

Thorax ◽

10.1136/thoraxjnl-2015-206781 ◽

2015 ◽

Vol 70 (8) ◽

pp. 799-801 ◽

Cited By ~ 37

Author(s):

Adnan Custovic ◽

John Ainsworth ◽

Hasan Arshad ◽

Christopher Bishop ◽

Iain Buchan ◽

...

Keyword(s):

Early Life ◽

Collaborative Research ◽

Data Repository ◽

Team Science ◽

Birth Cohorts ◽

Web Based ◽

Interdisciplinary Dialogue ◽

Computer Scientists ◽

Study Team ◽

Computational Resources

We created Asthma e-Lab, a secure web-based research environment to support consistent recording, description and sharing of data, computational/statistical methods and emerging findings across the five UK birth cohorts. The e-Lab serves as a data repository for our unified dataset and provides the computational resources and a scientific social network to support collaborative research. All activities are transparent, and emerging findings are shared via the e-Lab, linked to explanations of analytical methods, thus enabling knowledge transfer. eLab facilitates the iterative interdisciplinary dialogue between clinicians, statisticians, computer scientists, mathematicians, geneticists and basic scientists, capturing collective thought behind the interpretations of findings.

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Network Device Inventory Management System

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.a2957.059120 ◽

2020 ◽

Vol 9 (1) ◽

pp. 2287-2290

Keyword(s):

Inventory Management ◽

Management System ◽

Data Repository ◽

Inventory Data ◽

Web Based ◽

Warranty Period ◽

Inventory Management System ◽

It Organization ◽

Network Device

Inventory Management System is a centralized data repository that helps in managing the inventory with ease. A centralized data repository of data helps people to get access to the information fast thus increasing productivity. This paper discusses developing a web-based application that will be capable of managing and monitoring networking devices in an IT organization. The application will consist of a centralized data repository of all the networking devices in an organization. A centralized network device inventory helps employees to easily manage and monitor all the networking devices in the organization. The application will also help employees in the fast troubleshooting of any networking issue that arises in the organization thus, increases the productivity of employees. The application will be capable of sending timely updates regarding the warranty period, inventory data updates, etc., to the concerned people.

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Pemanfaatan E-Application Dalam Peningkatan Proses Audit Mutu Internal (Studi Kasus : Universitas Bina Nusantara)

ComTech Computer Mathematics and Engineering Applications ◽

10.21512/comtech.v1i2.2408 ◽

2010 ◽

Vol 1 (2) ◽

pp. 551

Author(s):

Cuk Tho ◽

Wihendro Wihendro ◽

Yohannes Kurniawan

Keyword(s):

Quality Assurance ◽

Iso 9000 ◽

Internal Quality ◽

Data Repository ◽

Quality Assurance System ◽

Web Based ◽

Quality Audit ◽

Assurance System ◽

Data History

This paper shows the use of e-application to assist the implementation of internal quality audit, which is one of the conditions to be met within the requirements of ISO 9000 Quality Assurance System. E-application that is used other than as a data repository is also used as a workflow. Where is the workflow that is made will ensure that the repairs is carried out in accordance with what has been planned. As one of the ISO documentation requirements in Clause 4.2.4 that a document should be done traceable, then the use of e-application is very helpful in conducting the search trail. In addition, the e-application allows auditors and auditees in filling the audit results, since it can be accessed from anywhere as well as due to web-based, it can be done from any computer without the need of an installation. E-application that was developed to function as a workflow and data repository that can be used as part of monitoring and data history which will help to improve the performance of the unit hence also improves performance of Bina Nusantara University.

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A Web-Based DSS for the Selection, Implementation and Evaluation of ERP Systems

IMS Manthan (The Journal of Innovations) ◽

10.18701/imsmanthan.v11i02.7759 ◽

2016 ◽

Vol 11 (02) ◽

Author(s):

Pallavi Jain ◽

Jai Kishore Tyagi ◽

Rohit Kumar

Keyword(s):

Enterprise Resource Planning ◽

Resource Planning ◽

Planning System ◽

Data Repository ◽

Erp Implementation ◽

Web Based ◽

Strategic Objectives ◽

Long Time ◽

Single Data ◽

Productivity Indicators

The Enterprise Resource Planning System is a huge and complex information system that enables the whole organization to operate, collaborate and coordinate its activities through the use of a single data repository. It is expensive to procure and takes a long time to implement. As such, organizations are extremely cautious before making the decision on ERP implementation. Once ERP is implemented, organizations need to continuously monitor its performance and its alignment with the organizations strategic objectives. In this paper we describe our work on the development of a web-based Decision Support System (DSS) that can help organizations to evaluate the success of their ERP implementation and measure the benefits obtained. The challenge of developing the tool lies in determining the criteria for an ERP implementation to be successful, identifying measurements of ERP benefits and ascertaining productivity indicators. To acquire all these yardsticks and measures we had to conduct a survey, case studies and interviews. Finally, all the findings were incorporated in the web-based DSS tool and we called this web based system, SEEBAS.

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A Web-Based DSS for the Selection, Implementation and Evaluation of ERP Systems

IMS Manthan (The Journal of Innovations) ◽

10.18701/imsmanthan.v12i01.10340 ◽

2017 ◽

Vol 12 (01) ◽

Author(s):

Pallavi Jain ◽

Jai Kishore Tyagi ◽

Rohit Kumar

Keyword(s):

Enterprise Resource Planning ◽

Resource Planning ◽

Planning System ◽

Data Repository ◽

Erp Implementation ◽

Web Based ◽

Strategic Objectives ◽

Long Time ◽

Single Data ◽

Productivity Indicators

The Enterprise Resource Planning System is a huge and complex information system that enables the whole organization to operate, collaborate and coordinate its activities through the use of a single data repository. It is expensive to procure and takes a long time to implement. As such, organizations are extremely cautious before making the decision on ERP implementation. Once ERP is implemented, organizations need to continuously monitor its performance and its alignment with the organizations strategic objectives. In this paper we describe our work on the development of a web-based Decision Support System (DSS) that can help organizations to evaluate the success of their ERP implementation and measure the benefits obtained. The challenge of developing the tool lies in determining the criteria for an ERP implementation to be successful, identifying measurements of ERP benefits and ascertaining productivity indicators. To acquire all these yardsticks and measures we had to conduct a survey, case studies and interviews. Finally, all the findings were incorporated in the web-based DSS tool and we called this web based system, SEEBAS.

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Development of data dictionary for neonatal intensive care unit: advancement towards a better critical care unit

JAMIA Open ◽

10.1093/jamiaopen/ooz064 ◽

2019 ◽

Vol 3 (1) ◽

pp. 21-30 ◽

Cited By ~ 1

Author(s):

Harpreet Singh ◽

Ravneet Kaur ◽

Satish Saluja ◽

Su Jin Cho ◽

Avneet Kaur ◽

...

Keyword(s):

Critical Care ◽

Open Source ◽

Quality Indicators ◽

Clinical Information System ◽

Information Management System ◽

Data Repository ◽

Data Dictionary ◽

Web Based ◽

Quality Dimensions ◽

Practice Variations

Abstract Background Critical care units (CCUs) with extensive use of various monitoring devices generate massive data. To utilize the valuable information of these devices; data are collected and stored using systems like clinical information system and laboratory information management system. These systems are proprietary, allow limited access to their database and, have the vendor-specific clinical implementation. In this study, we focus on developing an open-source web-based meta-data repository for CCU representing stay of the patient with relevant details. Methods After developing the web-based open-source repository named data dictionary (DD), we analyzed prospective data from 2 sites for 4 months for data quality dimensions (completeness, timeliness, validity, accuracy, and consistency), morbidity, and clinical outcomes. We used a regression model to highlight the significance of practice variations linked with various quality indicators. Results DD with 1555 fields (89.6% categorical and 11.4% text fields) is presented to cover the clinical workflow of a CCU. The overall quality of 1795 patient days data with respect to standard quality dimensions is 87%. The data exhibit 88% completeness, 97% accuracy, 91% timeliness, and 94% validity in terms of representing CCU processes. The data scores only 67% in terms of consistency. Furthermore, quality indicators and practice variations are strongly correlated (P < 0.05). Conclusion This study documents DD for standardized data collection in CCU. DD provides robust data and insights for audit purposes and pathways for CCU to target practice improvements leading to specific quality improvements.

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