| 3. |  | Burkhardt, Dirk; Bock, Moritz; Kuijper, Arjan DPPviewer: A Visual Analytics Approach for Optimizing Production Chains on Digital Product Passports Proceedings Article In: Banissi, Ebad; Datia, Nuno; Pires, João Moura; Ursyn, Anna; Nazemi, Kawa; Secco, Cristian A.; Kovalerchuk, Boris; Andonie, Razvan; Gavrilova, Marina; Nakayama, Minoru; Hascoet, Mountaz; Rusu, Amalia; Nguyen, Quang Vinh; Mabakane, Mabule Samuel; Rusu, Adrian; Hua, Jie; Bouali, Fatma; Venturini, Gilles; Dong, Alice; Kernbach, Sebastian; Cimin, Gaetano; Cvek, Urska; and Tony Huang, (Ed.): 2025 29th International Conference Information Visualisation (IV), pp. 311-319, IEEE, 2025, ISBN: 979-8-3315-7741-4. @inproceedings{Burkhardt2025b,
title = {DPPviewer: A Visual Analytics Approach for Optimizing Production Chains on Digital Product Passports},
author = {Dirk Burkhardt and Moritz Bock and Arjan Kuijper},
editor = {Ebad Banissi and Nuno Datia and João Moura Pires and Anna Ursyn and Kawa Nazemi and Cristian A. Secco and Boris Kovalerchuk and Razvan Andonie and Marina Gavrilova and Minoru Nakayama and Mountaz Hascoet and Amalia Rusu and Quang Vinh Nguyen and Mabule Samuel Mabakane and Adrian Rusu and Jie Hua and Fatma Bouali and Gilles Venturini and Alice Dong and Sebastian Kernbach and Gaetano Cimin and Urska Cvek and and Tony Huang},
url = {https://dirk.burkhardt.xyz/wp-content/uploads/2025/11/2025iv-ii.pdf, Paper as PDF},
doi = {10.1109/IV68685.2025.00061},
isbn = {979-8-3315-7741-4},
year = {2025},
date = {2025-10-31},
urldate = {2025-08-08},
booktitle = {2025 29th International Conference Information Visualisation (IV)},
pages = {311-319},
publisher = {IEEE},
abstract = {The development of a Digital Product Passport (DPP) is an important step in the process of sustainable production and an increasingly mandatory tool for the manufacturing industry, particularly in the EU. However, DPPs have so far been understood in the industry as a purely technical implementation for the exchange of relevant data toward product manufacturing, which is not suitable for reading and understanding by humans. This paper, therefore, describes an approach for a visual analytics system that enables human decision making through the visualization and analysis of DPPs, with a particular focus on optimizing CO2 efficiency. The system uses intuitive analytical visualizations to enable quick understanding and actionable insights. The main contribution is the concrete data processing and visualization of DPP information for human access, and is so far one of the first available approaches for a visual representation of DPPs in general.},
keywords = {Carbon Footprint, Circular Economy, Data Visualization, Industry 4.0, Internet of Things, Manufacturing Industries, Optimization, Product Carbon Footprint, Production, Regulation, Sustainable Development, Visual Analytics},
pubstate = {published},
tppubtype = {inproceedings}
}
The development of a Digital Product Passport (DPP) is an important step in the process of sustainable production and an increasingly mandatory tool for the manufacturing industry, particularly in the EU. However, DPPs have so far been understood in the industry as a purely technical implementation for the exchange of relevant data toward product manufacturing, which is not suitable for reading and understanding by humans. This paper, therefore, describes an approach for a visual analytics system that enables human decision making through the visualization and analysis of DPPs, with a particular focus on optimizing CO2 efficiency. The system uses intuitive analytical visualizations to enable quick understanding and actionable insights. The main contribution is the concrete data processing and visualization of DPP information for human access, and is so far one of the first available approaches for a visual representation of DPPs in general. |
| 2. |  | Nazemi, Kawa; Kaupp, Lukas; Burkhardt, Dirk; Below, Nicola Datenvisualisierung Book Chapter In: Putnings, Markus; Neuroth, Heike; Neumann, Janna (Ed.): Praxishandbuch Forschungsdatenmanagement , Chapter 5.4, pp. 477-502, De Gruyter, Berlin/Boston, 2021, ISBN: 978-3-11-065365-6. @inbook{Nazemi2021,
title = {Datenvisualisierung},
author = {Kawa Nazemi and Lukas Kaupp and Dirk Burkhardt and Nicola Below},
editor = {Markus Putnings and Heike Neuroth and Janna Neumann},
url = {https://dirk.burkhardt.xyz/wp-content/uploads/2021/03/2020Praxishandbuch.pdf, Paper as PDF},
doi = {10.1515/9783110657807-026},
isbn = {978-3-11-065365-6},
year = {2021},
date = {2021-01-18},
booktitle = {Praxishandbuch Forschungsdatenmanagement },
pages = {477-502},
publisher = {De Gruyter},
address = {Berlin/Boston},
chapter = {5.4},
abstract = {Die visuelle Projektion von heterogenen (z. B. Forschungs-)Daten auf einer 2-dimensionalen Fläche, wie etwa einem Bildschirm, wird als Datenvisualisierung bezeichnet. Datenvisualisierung ist ein Oberbegriff für verschiedene Arten der visuellen Projektion. In diesem Kapitel wird zunächst der Begriff definiert und abgegrenzt. Der Fokus des Kapitels liegt auf Informationsvisualisierung und Visual Analytics. In diesem Kontext wird der Prozess der visuellen Transformation vorgestellt. Es soll als Grundlage für eine wissenschaftlich valide Generierung von Visualisierungen dienen, die auch visuelle Aufgaben umfassen. Anwendungsszenarien stellen den Mehrwert der hier vorgestellten Konzepte in der Praxis vor. Der wissenschaftliche Beitrag liegt in einer formalen Definition des visuellen Mappings.},
keywords = {Data Visualization},
pubstate = {published},
tppubtype = {inbook}
}
Die visuelle Projektion von heterogenen (z. B. Forschungs-)Daten auf einer 2-dimensionalen Fläche, wie etwa einem Bildschirm, wird als Datenvisualisierung bezeichnet. Datenvisualisierung ist ein Oberbegriff für verschiedene Arten der visuellen Projektion. In diesem Kapitel wird zunächst der Begriff definiert und abgegrenzt. Der Fokus des Kapitels liegt auf Informationsvisualisierung und Visual Analytics. In diesem Kontext wird der Prozess der visuellen Transformation vorgestellt. Es soll als Grundlage für eine wissenschaftlich valide Generierung von Visualisierungen dienen, die auch visuelle Aufgaben umfassen. Anwendungsszenarien stellen den Mehrwert der hier vorgestellten Konzepte in der Praxis vor. Der wissenschaftliche Beitrag liegt in einer formalen Definition des visuellen Mappings. |
| 1. |  | Kohlhammer, Jörn; Nazemi, Kawa; Ruppert, Tobias; Burkhardt, Dirk Toward Visualization in Policy Modeling Journal Article In: IEEE Computer Graphics and Applications, vol. 32, no. 5, pp. 84–89, 2012, ISSN: 0272-1716. @article{Burkhardt2012d,
title = {Toward Visualization in Policy Modeling},
author = {Jörn Kohlhammer and Kawa Nazemi and Tobias Ruppert and Dirk Burkhardt},
editor = {Miguel Encarnação},
url = {https://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2012cga.pdf, Paper as PDF},
doi = {10.1109/MCG.2012.107},
issn = {0272-1716},
year = {2012},
date = {2012-09-01},
journal = {IEEE Computer Graphics and Applications},
volume = {32},
number = {5},
pages = {84--89},
abstract = {This article looks at the current and future roles of information visualization, semantics visualization, and visual analytics in policy modeling. Many experts believe that you can't overestimate visualization's role in this respect.},
keywords = {Analytical Models, Computational Modeling, Data Visualization, Decision Making, Semantics, Visualization},
pubstate = {published},
tppubtype = {article}
}
This article looks at the current and future roles of information visualization, semantics visualization, and visual analytics in policy modeling. Many experts believe that you can't overestimate visualization's role in this respect. |
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