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Erschienen in:
Personal Data Markets: A Narrative Review on Influence Factors of the Price of Personal Data Kapitel lesen Erstes Kapitel lesen

2022 | OriginalPaper | Buchkapitel

Model-Driven Production of Data-Centric Infographics: An Application to the Impact Measurement Domain

verfasst von : Sergio España, Vijanti Ramautar, Sietse Overbeek, Tijmen Derikx

Erschienen in: Research Challenges in Information Science

Verlag: Springer International Publishing

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Abstract

Context and motivation: Infographics are an engaging medium for communication. Sometimes, organisations create several infographics with the same graphic design and different data; e.g., when reporting on impact measurement. Question/problem: The conventional process to produce such recurrent data-centric infographics causes rework related to the disconnection between software environments. Principal ideas/results: This paper redesigns the process following the model-driven engineering paradigm. We present a domain-specific language to model infographics, and an interpreter that generates the infographics automatically. We have been able to model and generate infographics that report impact measurement results, which the participants of a comparative experiment have found as attractive as the original ones, and that are hard, but not impossible, to distinguish from them. Contribution: An innovative model-driven approach that eliminates the software environment disconnection and could facilitate the use of data-centric infographics for reporting purposes.

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Vorheriges Kapitel Assisted-Modeling Requirements for Model-Driven Development Tools
Nächstes Kapitel The B Method Meets MDE: Review, Progress and Future
Fußnoten
1
Originally named openSEA, since 2020 the tool has been renamed openESEA, to include the business ethics dimension, also sometimes referred to as governance topics.
 
4
The code of the interpreter can be found here: https://​github.​com/​nielsrowinbik/​open-sea.
 
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Metadaten
Titel
Model-Driven Production of Data-Centric Infographics: An Application to the Impact Measurement Domain
verfasst von
Sergio España
Vijanti Ramautar
Sietse Overbeek
Tijmen Derikx
Copyright-Jahr
2022
Buch
Research Challenges in Information Science

Print ISBN: 978-3-031-05759-5

Electronic ISBN: 978-3-031-05760-1

Copyright-Jahr: 2022

DOI
https://doi.org/10.1007/978-3-031-05760-1_28