Data Management in Large-Scale Data Collection Scenarios

Jung, Philipp (2018) Data Management in Large-Scale Data Collection Scenarios. Bachelor thesis, Ulm University.

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Despite the progress of digitization and constant innovations in almost all industries, data collection through questionnaires is still often paper-based. The innumerable disadvantages and the unnecessary burden on the environment are obvious. And that is precisely why it is worth asking, why nothing has happened in this sector. This can be due to several reasons, for example, the lack of flexibility compared to paper is one reason why paper questionnaires are often preferred. Also costs are a factor, because especially when flexibility in the execution is required, the implementation of such a questionnaire is often expensive. This is exactly where the QuestionSys framework should help. With its configurator it offers the possibility to create complex questionnaires without previous knowledge. In addition, the web application is a good platform for managing and organizing these. And for the execution of the questionnaires there is the questionnaire application, which has been developed in the context of this bachelor thesis. Concerning this, the focus is especially on the associated data management. Therefore, it is demonstrated how the data flows can be implemented in an application like this, in order to guarantee the full range of functions also on a large scale. This also applies to the storage, management and external communication of data within the application and is always under the condition of cross-platform development and therefore being compatible to the majority of smart mobile devices. The implementation of these requirements is explained by code samples and graphical illustrations.

Item Type: Thesis (Bachelor)
Subjects: DBIS Research > Master and Phd-Thesis
Divisions: Faculty of Engineering, Electronics and Computer Science > Institute of Databases and Informations Systems > DBIS Research and Teaching > DBIS Research > Master and Phd-Thesis
Depositing User: M.Sc. Johannes Schobel
Date Deposited: 14 Mar 2018 11:32
Last Modified: 14 Mar 2018 11:32

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