Abstract
In this paper, the results of a comparative analysis between different approaches to experimental data storage and processing are presented. Several studies related to the problem and some methods for solving it have been discussed. Different types of databases, ways of using them and the areas of their application are analyzed. For the purposes of the study, a relational database for storing and analyzing a specific data from behavioral experiments was designed. The methodology and conditions for conducting the experiments are described. Three different indicators were analyzed, respectively: memory required to store the data, time to load the data from an external file into computer memory and iteration time across all records through one cycle. The obtained results show that for storing a large number of records (in the order of tens of millions of rows), either dynamic arrays (stored on external media in binary file format), or an approach based on a local or remote database management system can be used. Regarding the data loading time, the fastest approach was the one that uses dynamic arrays. It outperforms significantly the approaches based on a local or remote database. The obtained results show that the dynamic arrays and the local data sets approaches iterated much faster across all data records than the remote database approach. The paper concludes with proposal for further developments towards using of web services.
Highlights
Conducting experiments and drawing inferences from the accumulated evidence is a must in every scientific study
A local database management system (MS Access in this case), which stores the data in external files of a structure and format defined by the DBMS; 5
A remote database management system (MS Structured Query Language (SQL) Server in this case), that stores the data in external files with a specific file format
Summary
Conducting experiments and drawing inferences from the accumulated evidence is a must in every scientific study. Nowadays the rapid increase in variety and dimensionality of the collected experimental data sets reveals the problems of their convenient storage, access, sharing, processing and analyzing. In order to provide access to all the collected information and to support its further processing, it is necessary to choose a proper format for data preprocessing and storing. Format in order to facilitate its further processing. The study is focused on behavioral experiments performed with the participation of human subjects. The aim of the experiment was to collect data about human motion perception and eye movements to stimuli with different characteristics in order to assess reactions of subjects from different age groups. The data collected during the experiments are very specific and they are spread into several files with different formats as follows: 1.1 Files from the eye tracker device
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