Abstract
This paper presents the results obtained from a comparative analysis of two methods for experimental data sharing. Several works related to the topic and some approaches for processing data have been discussed. Different technolgoies related to the web services, ways of using them and the areas of their application are analyzed. For the purposes of the study, a web service for retrieving specific data from a behavioral experiments database was developed.The methodology and conditions for conducting the experiments are described. Two different indicators are analyzed, respectively: time to retrieve the data from a database and iteration time across all records through one loop. The results show that when retrieving thousands of records both web service based approach and an approach based on a remote database server can be used. However, when retrieving millions of records, the fastest approach was the one that uses remote database server. The obtainedresultsshow that the dynamic arrays (containing strings) iterated much faster across all data records than the dataset approach.
Highlights
Experimental data are an essential part of most scientific research
This application has the same functionality as the web service based application
The application's user interface has appropriate controls for defining the parameters of the sql query that is sent for execution to the database server
Summary
Experimental data are an essential part of most scientific research. In order to process and analyze these data, they should be shared. This aspect motivated the research work presented in this paper. The purpose of this study is to analyze some data sharing approaches that can be used in different ways. The data used in this study were generated by a special hardware device (eTracker). This device can record eye movements (per person) with a sampling frequency of 1 kHz (i.e. 1000 values per 1 second). The generated values are buffered into dynamic data structures. With a specialized application, this information is recorded in external files with a specific file format
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More From: International Journal of Online and Biomedical Engineering (iJOE)
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