Open AccessODK-X: From A Classic Process To A Smart Data Collection Process
Author(s) -
Iman Tikito,
Nissrine Souissi
Publication year - 2021
Publication title -
international journal of interactive mobile technologies
Language(s) - English
Resource type - Journals
ISSN - 1865-7923
DOI - 10.3991/ijim.v15i13.22945
Subject(s) - data collection , process (computing) , computer science , data science , cloud computing , software , data quality , key (lock) , suite , database , engineering , geography , computer security , operations management , operating system , mathematics , metric (unit) , statistics , archaeology
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.