Abstract
Data collection is one of the first and main phases of the data life cycle. It enables improvements to be made across all phases of the data lifecycle. In this sense, we have proposed a data collection process qualified as Smart. For our smart data collection process, we have adopted the principles of the smart data approach allowing less data to be transmitted to the analysis and storage processes, while maintaining better data quality. In addition, we also used Edge computing since it provides services with faster response and better quality, compared to cloud computing. To experiment this process on mobile data, we propose to extend a mobile data collection software solution and adopt one of the key data collection methods. In this paper, we tested our smart data collection process via the ODK-X software suite and were able to identify the added value of our process compared to the one used by default during collection.
Highlights
To experience the smart collection process [1] on mobile data, we come to implement it by extending a software solution for mobile data collection and adopt a data collection method among the five key methods of data collection which are presented with their advantages and disadvantages in article [2]
To minimize cost and workload while being efficient in providing better data quality, we adopted Electronic Data Collection (EDC) to establish the survey as the best approach in our case according to several articles [6], [7], [8]
Following the article [19], the use of Open Data Kit (ODK) is constantly increasing and this is linked to the fact that it is free and open source allowing to appropriate the tool with good programming knowledge, otherwise a simple use of its wide range is sufficient for some cases
Summary
To experience the smart collection process [1] on mobile data, we come to implement it by extending a software solution for mobile data collection and adopt a data collection method among the five key methods of data collection which are presented with their advantages and disadvantages in article [2]. These five methods are: Surveys, Interviews, Focus Groups, Observations, and Textual or Content Analysis. We are interested here in the collection of mobile data. To minimize cost and workload while being efficient in providing better data quality, we adopted Electronic Data Collection (EDC) to establish the survey as the best approach in our case according to several articles [6], [7], [8]
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