Model-driven production of data-centric infographics: An application to the impact measurement domain

Sergio España; Vijanti Ramautar; Sietse Overbeek; Tijmen Derikx

doi:10.1007/978-3-031-05760-1_28

Model-driven production of data-centric infographics: An application to the impact measurement domain

Sergio España^*, Vijanti Ramautar^*, Sietse Overbeek, Tijmen Derikx

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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.

Original language	English
Title of host publication	Research Challenges in Information Science
Subtitle of host publication	16th International Conference, RCIS 2022, Barcelona, Spain, May 17–20, 2022, Proceedings
Editors	Renata Guizzardi, Jolita Ralyté, Xavier Franch
Place of Publication	Cham, Switzerland
Publisher	Springer
Pages	477-494
Number of pages	18
ISBN (Print)	9783031057595
DOIs	https://doi.org/10.1007/978-3-031-05760-1_28
Publication status	Published - 2022

Publication series

Name	Lecture Notes in Business Information Processing
Volume	446 LNBIP
ISSN (Print)	1865-1348
ISSN (Electronic)	1865-1356

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Domain-specific language
Infographics
Impact measurement
Ethical social and environmental accounting
Model-driven engineering
Experiment

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10.1007/978-3-031-05760-1_28

978-3-031-05760-1_28Final published version, 1.46 MBLicence: Taverne

Cite this

España, S., Ramautar, V., Overbeek, S., & Derikx, T. (2022). Model-driven production of data-centric infographics: An application to the impact measurement domain. In R. Guizzardi, J. Ralyté, & X. Franch (Eds.), Research Challenges in Information Science: 16th International Conference, RCIS 2022, Barcelona, Spain, May 17–20, 2022, Proceedings (pp. 477-494). (Lecture Notes in Business Information Processing; Vol. 446 LNBIP). Springer. https://doi.org/10.1007/978-3-031-05760-1_28

España, Sergio ; Ramautar, Vijanti ; Overbeek, Sietse et al. / Model-driven production of data-centric infographics : An application to the impact measurement domain. Research Challenges in Information Science: 16th International Conference, RCIS 2022, Barcelona, Spain, May 17–20, 2022, Proceedings. editor / Renata Guizzardi ; Jolita Ralyté ; Xavier Franch. Cham, Switzerland : Springer, 2022. pp. 477-494 (Lecture Notes in Business Information Processing).

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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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author = "Sergio Espa{\~n}a and Vijanti Ramautar and Sietse Overbeek and Tijmen Derikx",

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language = "English",

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España, S, Ramautar, V, Overbeek, S & Derikx, T 2022, Model-driven production of data-centric infographics: An application to the impact measurement domain. in R Guizzardi, J Ralyté & X Franch (eds), Research Challenges in Information Science: 16th International Conference, RCIS 2022, Barcelona, Spain, May 17–20, 2022, Proceedings. Lecture Notes in Business Information Processing, vol. 446 LNBIP, Springer, Cham, Switzerland, pp. 477-494. https://doi.org/10.1007/978-3-031-05760-1_28

Model-driven production of data-centric infographics: An application to the impact measurement domain. / España, Sergio; Ramautar, Vijanti; Overbeek, Sietse et al.
Research Challenges in Information Science: 16th International Conference, RCIS 2022, Barcelona, Spain, May 17–20, 2022, Proceedings. ed. / Renata Guizzardi; Jolita Ralyté; Xavier Franch. Cham, Switzerland: Springer, 2022. p. 477-494 (Lecture Notes in Business Information Processing; Vol. 446 LNBIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Model-driven production of data-centric infographics

T2 - An application to the impact measurement domain

AU - España, Sergio

AU - Ramautar, Vijanti

AU - Overbeek, Sietse

AU - Derikx, Tijmen

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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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KW - Impact measurement

KW - Ethical social and environmental accounting

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M3 - Conference contribution

SN - 9783031057595

T3 - Lecture Notes in Business Information Processing

SP - 477

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BT - Research Challenges in Information Science

A2 - Guizzardi, Renata

A2 - Ralyté, Jolita

A2 - Franch, Xavier

PB - Springer

CY - Cham, Switzerland

ER -

España S, Ramautar V, Overbeek S, Derikx T. Model-driven production of data-centric infographics: An application to the impact measurement domain. In Guizzardi R, Ralyté J, Franch X, editors, Research Challenges in Information Science: 16th International Conference, RCIS 2022, Barcelona, Spain, May 17–20, 2022, Proceedings. Cham, Switzerland: Springer. 2022. p. 477-494. (Lecture Notes in Business Information Processing). doi: 10.1007/978-3-031-05760-1_28

Model-driven production of data-centric infographics: An application to the impact measurement domain

Abstract

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Keywords

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