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Microsoft Excel spreadsheets have other advantages including their general facility for data input and management, ease in implementing calculations, and often advanced graphics and reporting capabilities (Wraith and Or 1998).
The electronic data input and management system for the KNOW-KT was developed by the data management division in the MRCC.
It contains the main concepts of the study, information on the participating centers and investigators, a detailed description of the basic steps involved in electronic data input and management and standardized definitions of the variables used in the study.
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A trained research assistant not involved in the treatment analyses or in the writing of the manuscript was responsible for the randomization, the data collection, the data input and data quality management.
A full-fledged geographic information system (GIS) is a type of database that is able to handle data input and verification, data storage and management, data output and presentation, data transformation, and interaction with end users.
Although there are few limits on sequencing data outputs and sample sizes, the use of current bioinformatics tools remains challenging for broad research scientists due to insufficient abilities to process large data, as well as the limitation on data inputs and sample management.
Early architectural decisions define how the system is organised in terms of permanent data management, data communication, data input and output, coarse-grained modularisation and allocation within the organisational structure.
The software integrated various types of information and document management schemes, including data input and processing, CAD drawing visualisation, data modelling and prediction, as well as an early warning function.
The Pipeline environment allows the development of new data input and output parsers for streamlining the protocols of data management and utilization within the Pipeline.
Data input, processing, management, and analyses were conducted by using R, Version 3.1.1.
Developing an accepted, systematic method for evaluating potentially pandemic influenza viruses to inform risk management decisions requires a framework capable of combining multiple data inputs and information.
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