Please use this identifier to cite or link to this item: http://repositorio.grial.eu/handle/grial/2238
Title: Towards a Technological Ecosystem to Provide Information Dashboards as a Service: A Dynamic Proposal for Supplying Dashboards Adapted to Specific Scenarios
Authors: Vázquez-Ingelmo, A.
García-Peñalvo, F. J.
Therón, R.
Keywords: information dashboards
metamodeling
visualization goals
visualization tasks
data visualization
dashboard ecosystem
code generation
Issue Date: 5-Apr-2021
Publisher: MDPI
Citation: Vázquez-Ingelmo, A., García-Peñalvo, F. J., & Therón, R. (2021). Towards a Technological Ecosystem to Provide Information Dashboards as a Service: A Dynamic Proposal for Supplying Dashboards Adapted to Specific Scenarios. Applied Sciences, 11(7), Article 3249. https://doi.org/10.3390/app11073249
Abstract: Data are crucial to improve decision-making and obtain greater benefits in any type of activity. However, the large amount of information generated by new technologies has made data analysis and knowledge generation a complex task. Numerous tools have emerged to facilitate this generation of knowledge, such as dashboards. Although dashboards are useful tools, their effectiveness can be affected by poor design or by not taking into account the context in which they are placed. Therefore, it is necessary to design and create custom dashboards according to the audience and data domain. This paper presents an application of the software product line paradigm and the integration of this approach into a web service to allow users to request source code for customized information dashboards. The main goal is to introduce the idea of creating a holistic ecosystem of different services to craft and integrate information visualizations in a variety of contexts. One of the contexts that can be especially favored by this approach is the educational context, where learning analytics, data analysis of student performance, and didactic tools are becoming very relevant. Three different use cases of this approach are presented to illustrate the benefits of the developed generative service.
URI: http://repositorio.grial.eu/handle/grial/2238
ISSN: 2076-3417
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