Test System for Avionics Central Data Management Units

Author(s):  
Yusuf Yildirim ◽  
Mustafa Acar ◽  
Ali Bugra Unlu
2015 ◽  
Vol 54 (04) ◽  
pp. 364-371 ◽  
Author(s):  
M. Bialke ◽  
T. Bahls ◽  
C. Havemann ◽  
J. Piegsa ◽  
K. Weitmann ◽  
...  

Summary Introduction: In the context of an increasing number of multi-centric studies providing data from different sites and sources the necessity for central data management (CDM) becomes undeniable. This is exacerbated by a multiplicity of featured data types, formats and interfaces. In relation to methodological medical research the definition of central data management needs to be broadened beyond the simple storage and archiving of research data. Objectives: This paper highlights typical requirements of CDM for cohort studies and registries and illustrates how orientation for CDM can be provided by addressing selected data management challenges. Methods: Therefore in the first part of this paper a short review summarises technical, organisational and legal challenges for CDM in cohort studies and registries. A deduced set of typical requirements of CDM in epidemiological research follows. Results: In the second part the MOSAIC project is introduced (a modular systematic approach to implement CDM). The modular nature of MOSAIC contributes to manage both technical and organisational challenges efficiently by providing practical tools. A short presentation of a first set of tools, aiming for selected CDM requirements in cohort studies and registries, comprises a template for comprehensive documentation of data protection measures, an interactive reference portal for gaining insights and sharing experiences, supplemented by modular software tools for generation and management of generic pseudonyms, for participant management and for sophisticated consent management. Conclusions: Altogether, work within MOSAIC addresses existing challenges in epidemiological research in the context of CDM and facilitates the standardized collection of data with pre-programmed modules and provided document templates. The necessary effort for in-house programming is reduced, which accelerates the start of data collection.


2014 ◽  
Vol 496-500 ◽  
pp. 1715-1719
Author(s):  
Xing Liu ◽  
Zhi Jing Zhang ◽  
Shi Zhong Li ◽  
Xin Jin ◽  
Gao Yang Zhang

For real-time data management needs of multiple components, sets and workshops hydraulic experimental platforms, a new distributed system of real-time monitoring and data management based on LabVIEW was developed, by solving following key technologies: hydraulic data real-time monitoring and acquisition at remote distance, data management and reappearance, fault diagnosis expert system in test process. Through the experiment, monitoring in real-time and the operability of data management are confirmed.


2014 ◽  
Vol 86 (7) ◽  
pp. 1130-1136 ◽  
Author(s):  
Robert Kraus ◽  
Sandra Fillinger ◽  
Gregor Tolksdorf ◽  
Duc H. Minh ◽  
Victor A. Merchan-Restrepo ◽  
...  

2012 ◽  
Vol 459 ◽  
pp. 437-440
Author(s):  
Yao Hui Li ◽  
Hong Yu Wu ◽  
Yi Zhong Wu ◽  
Shu Ting Wang

This paper introduces a kind of alcohol test system composed of hardware based on alcohol instrument, and software based on data management, which is the foundation of internet wireless technology transmission platform based on embedded web server. It can provide reliable wireless sensor networks and complete information integration and conformity through sites control platform, present wireless data transmission technology and data management system in order to achieve unified management of information and law enforcement. Practice shows the alcohol test system has obvious advantages with stability, high accuracy, and strong anti-interference.


Author(s):  
Kevin Read ◽  
Fred Willie Zametkin LaPolla

Background: REDCap, an electronic data capture tool, supports good research data management, but many researchers lack familiarity with the tool. While a REDCap administrator provided technical support and a clinical data management support unit provided study design support, a service gap existed.Case Presentation: Librarians with REDCap expertise sought to increase and improve usage through outreach, workshops, and consultations. In collaboration with a REDCap administrator and the director of the clinical data management support unit, the role of the library was established in providing REDCap training and consultations. REDCap trainings were offered to the medical center during the library’s quarterly data series, which served as a springboard for offering tailored REDCap support to researchers and research groups.Conclusions: Providing REDCap support has proved to be an effective way to associate the library with data-related activities in an academic medical center and identify new opportunities for offering data services in the library. By offering REDCap services, the library established strong partnerships with the Information Technology Department, Clinical Data Support Department, and Compliance Office by filling in training gaps, while simultaneously referring users back to these departments when additional expertise was required. These new partnerships continue to grow and serve to position the library as a central data hub in the institution.


2000 ◽  
Vol 122 (09) ◽  
pp. 58-60
Author(s):  
Jean Thilmany

This article discusses that many companies are installing a companywide product data management (PDM) system, also known as an engineering data management system. These systems do several things, besides acting as a central data repository. Much of the data that overwhelms companies comes from engineers using a variety of software applications, such as computer-aided design, manufacturing, or engineering programs. The PDM systems manage engineering data that may come from a myriad of sources and applications but pertain to the development of one product. The chosen PDM system would have to track the design and manufacture of each part that would be assembled to form the finished printer. It would have to tell users what stage in the process each part had reached. But it would also have to serve as a virtual warehouse for all digital versions of a part and product, including older versions that could not be lost because they might be needed for reference at any time.


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