The Häma-COM laboratory data management system (LDS): tailor-made computerization of the individual working procedures arising in a hematology laboratory with a high throughput of pathologic samples

1997 ◽  
Vol 75 (1-2) ◽  
pp. 47-54 ◽  
Author(s):  
I. Schwarzinger
Keyword(s):  
Data Management ◽  
High Throughput ◽  
Management System ◽  
Laboratory Data ◽  
Data Management System ◽  
The Individual

PRISM: A data management system for high-throughput proteomics

PROTEOMICS ◽  
2006 ◽  
Vol 6 (6) ◽  
pp. 1783-1790 ◽  
Author(s):  
Gary R. Kiebel ◽  
Ken J. Auberry ◽  
Navdeep Jaitly ◽  
David A. Clark ◽  
Matthew E. Monroe ◽  
...  
Keyword(s):  
Data Management ◽  
High Throughput ◽  
Management System ◽  
Data Management System

Laboratory data management system using a pet microprocessor

1982 ◽  
Vol 15 (2) ◽  
pp. 94 ◽  
Author(s):  
B.M. Kapur ◽  
K. Kaplan ◽  
M. Anderson
Keyword(s):  
Data Management ◽  
Management System ◽  
Laboratory Data ◽  
Data Management System

Integrating clinical and laboratory data in genetic studies of complex phenotypes: A network-based data management system

1998 ◽  
Vol 81 (3) ◽  
pp. 248-256 ◽  
Author(s):  
Francis J. McMahon ◽  
C.J.M. Thomas ◽  
Rebecca J. Koskela ◽  
Theresa S. Breschel ◽  
Tyler C. Hightower ◽  
...  
Keyword(s):  
Data Management ◽  
Management System ◽  
Laboratory Data ◽  
Data Management System ◽  
Genetic Studies ◽  
Complex Phenotypes

scholarly journals MVS-Pheno: A Portable and Low-Cost Phenotyping Platform for Maize Shoots Using Multiview Stereo 3D Reconstruction

2020 ◽  
Vol 2020 ◽  
pp. 1-17 ◽  
Author(s):  
Sheng Wu ◽  
Weiliang Wen ◽  
Yongjian Wang ◽  
Jiangchuan Fan ◽  
Chuanyu Wang ◽  
...  
Keyword(s):  
Data Management ◽  
High Throughput ◽  
Management System ◽  
Low Cost ◽  
Point Clouds ◽  
Data Management System ◽  
Plant Phenotyping ◽  
Phenotypic Traits ◽  
High Throughput Phenotyping ◽  
Multiview Stereo

Plant phenotyping technologies play important roles in plant research and agriculture. Detailed phenotypes of individual plants can guide the optimization of shoot architecture for plant breeding and are useful to analyze the morphological differences in response to environments for crop cultivation. Accordingly, high-throughput phenotyping technologies for individual plants grown in field conditions are urgently needed, and MVS-Pheno, a portable and low-cost phenotyping platform for individual plants, was developed. The platform is composed of four major components: a semiautomatic multiview stereo (MVS) image acquisition device, a data acquisition console, data processing and phenotype extraction software for maize shoots, and a data management system. The platform’s device is detachable and adjustable according to the size of the target shoot. Image sequences for each maize shoot can be captured within 60-120 seconds, yielding 3D point clouds of shoots are reconstructed using MVS-based commercial software, and the phenotypic traits at the organ and individual plant levels are then extracted by the software. The correlation coefficient (R2) between the extracted and manually measured plant height, leaf width, and leaf area values are 0.99, 0.87, and 0.93, respectively. A data management system has also been developed to store and manage the acquired raw data, reconstructed point clouds, agronomic information, and resulting phenotypic traits. The platform offers an optional solution for high-throughput phenotyping of field-grown plants, which is especially useful for large populations or experiments across many different ecological regions.

Risk Management on Information Security in ABC Company

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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