---
_id: '64823'
abstract:
- lang: eng
text: "Current legal frameworks enforce that Android developers accurately report
the data their apps collect. However, large codebases can make this reporting
challenging. This paper employs an empirical approach to understand developers'
experience with Google Play Store's Data Safety Section (DSS) form.\r\n\r\nWe
first survey 41 Android developers to understand how they categorize privacy-related
data into DSS categories and how confident they feel when completing the DSS form.
To gain a broader and more detailed view of the challenges developers encounter
during the process, we complement the survey with an analysis of 172 online developer
discussions, capturing the perspectives of 642 additional developers. Together,
these two data sources represent insights from 683 developers.\r\n\r\nOur findings
reveal that developers often manually classify the privacy-related data their
apps collect into the data categories defined by Google-or, in some cases, omit
classification entirely-and rely heavily on existing online resources when completing
the form. Moreover, developers are generally confident in recognizing the data
their apps collect, yet they lack confidence in translating this knowledge into
DSS-compliant disclosures. Key challenges include issues in identifying privacy-relevant
data to complete the form, limited understanding of the form, and concerns about
app rejection due to discrepancies with Google's privacy requirements.\r\nThese
results underscore the need for clearer guidance and more accessible tooling to
support developers in meeting privacy-aware reporting obligations. "
author:
- first_name: Mugdha
full_name: Khedkar, Mugdha
id: '88024'
last_name: Khedkar
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
orcid: 0000-0001-6600-6171
- first_name: Mohamed Aboubakr Mohamed
full_name: Soliman, Mohamed Aboubakr Mohamed
id: '102489'
last_name: Soliman
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Khedkar M, Schlichtig M, Soliman MAM, Bodden E. Challenges in Android Data
Disclosure: An Empirical Study. In: Proceedings of the IEEE/ACM 13th International
Conference on Mobile Software Engineering and Systems (MOBILESoft ’26). Association
for Computing Machinery, New York, NY, USA, 65–68. ; 2026.'
apa: 'Khedkar, M., Schlichtig, M., Soliman, M. A. M., & Bodden, E. (2026). Challenges
in Android Data Disclosure: An Empirical Study. Proceedings of the IEEE/ACM
13th International Conference on Mobile Software Engineering and Systems (MOBILESoft
’26). Association for Computing Machinery, New York, NY, USA, 65–68. 13th
International Conference on Mobile Software Engineering and Systems 2024, Rio
de Janeiro, Brazil.'
bibtex: '@inproceedings{Khedkar_Schlichtig_Soliman_Bodden_2026, title={Challenges
in Android Data Disclosure: An Empirical Study.}, booktitle={Proceedings of the
IEEE/ACM 13th International Conference on Mobile Software Engineering and Systems
(MOBILESoft ’26). Association for Computing Machinery, New York, NY, USA, 65–68.},
author={Khedkar, Mugdha and Schlichtig, Michael and Soliman, Mohamed Aboubakr
Mohamed and Bodden, Eric}, year={2026} }'
chicago: 'Khedkar, Mugdha, Michael Schlichtig, Mohamed Aboubakr Mohamed Soliman,
and Eric Bodden. “Challenges in Android Data Disclosure: An Empirical Study.”
In Proceedings of the IEEE/ACM 13th International Conference on Mobile Software
Engineering and Systems (MOBILESoft ’26). Association for Computing Machinery,
New York, NY, USA, 65–68., 2026.'
ieee: 'M. Khedkar, M. Schlichtig, M. A. M. Soliman, and E. Bodden, “Challenges in
Android Data Disclosure: An Empirical Study.,” presented at the 13th International
Conference on Mobile Software Engineering and Systems 2024, Rio de Janeiro, Brazil,
2026.'
mla: 'Khedkar, Mugdha, et al. “Challenges in Android Data Disclosure: An Empirical
Study.” Proceedings of the IEEE/ACM 13th International Conference on Mobile
Software Engineering and Systems (MOBILESoft ’26). Association for Computing Machinery,
New York, NY, USA, 65–68., 2026.'
short: 'M. Khedkar, M. Schlichtig, M.A.M. Soliman, E. Bodden, in: Proceedings of
the IEEE/ACM 13th International Conference on Mobile Software Engineering and
Systems (MOBILESoft ’26). Association for Computing Machinery, New York, NY, USA,
65–68., 2026.'
conference:
end_date: 2026-04-18
location: Rio de Janeiro, Brazil
name: 13th International Conference on Mobile Software Engineering and Systems 2024
start_date: 2026-04-12
date_created: 2026-03-04T08:10:43Z
date_updated: 2026-03-13T12:10:10Z
department:
- _id: '76'
external_id:
arxiv:
- '2601.20459'
keyword:
- static analysis
- data collection
- data protection
- privacy-aware reporting
language:
- iso: eng
publication: Proceedings of the IEEE/ACM 13th International Conference on Mobile Software
Engineering and Systems (MOBILESoft '26). Association for Computing Machinery, New
York, NY, USA, 65–68.
status: public
title: 'Challenges in Android Data Disclosure: An Empirical Study.'
type: conference
user_id: '88024'
year: '2026'
...
---
_id: '63754'
abstract:
- lang: eng
text: Data spaces are receiving an emerging interest in Information Systems Research
and industry practice. They are central to many European research initiatives
and shape the data economy in Industry 4.0. Generally, they aim to create secure
environments for cross-organizational data management and sharing. Currently,
there is considerable interest in developing new data spaces in Industry 4.0,
also accelerated through regulatory changes. However, key questions about what
precisely characterizes a data space in Industry 4.0 remain unresolved. Against
this backdrop, we build a taxonomy of data spaces in the Industry 4.0 context.
We identified nine distinctive dimensions and 40 corresponding characteristics
among the 19 data spaces analyzed. The taxonomy enables clearer classification
and nomenclature of data spaces in this context. This short paper will ignite
planned further research on data spaces in Industry 4.0 and contribute to a conceptualization
of a taxonomic theory for interested researchers.
author:
- first_name: Oliver
full_name: Werth, Oliver
last_name: Werth
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Mathias
full_name: Uslar, Mathias
last_name: Uslar
- first_name: Julian
full_name: Zerbin, Julian
id: '51711'
last_name: Zerbin
citation:
ama: 'Werth O, Koldewey C, Uslar M, Zerbin J. What Characterizes Data Spaces in
Industry 4.0? Towards a Better Understanding. In: Lecture Notes in Business
Information Processing. Springer Nature Switzerland; 2026. doi:10.1007/978-3-032-14518-5_3'
apa: Werth, O., Koldewey, C., Uslar, M., & Zerbin, J. (2026). What Characterizes
Data Spaces in Industry 4.0? Towards a Better Understanding. Lecture Notes
in Business Information Processing. 16th International Conference on Software
Business (ICSOB 2025), Stuttgart, Germany. https://doi.org/10.1007/978-3-032-14518-5_3
bibtex: '@inproceedings{Werth_Koldewey_Uslar_Zerbin_2026, place={Cham}, title={What
Characterizes Data Spaces in Industry 4.0? Towards a Better Understanding}, DOI={10.1007/978-3-032-14518-5_3},
booktitle={Lecture Notes in Business Information Processing}, publisher={Springer
Nature Switzerland}, author={Werth, Oliver and Koldewey, Christian and Uslar,
Mathias and Zerbin, Julian}, year={2026} }'
chicago: 'Werth, Oliver, Christian Koldewey, Mathias Uslar, and Julian Zerbin. “What
Characterizes Data Spaces in Industry 4.0? Towards a Better Understanding.” In
Lecture Notes in Business Information Processing. Cham: Springer Nature
Switzerland, 2026. https://doi.org/10.1007/978-3-032-14518-5_3.'
ieee: 'O. Werth, C. Koldewey, M. Uslar, and J. Zerbin, “What Characterizes Data
Spaces in Industry 4.0? Towards a Better Understanding,” presented at the 16th
International Conference on Software Business (ICSOB 2025), Stuttgart, Germany,
2026, doi: 10.1007/978-3-032-14518-5_3.'
mla: Werth, Oliver, et al. “What Characterizes Data Spaces in Industry 4.0? Towards
a Better Understanding.” Lecture Notes in Business Information Processing,
Springer Nature Switzerland, 2026, doi:10.1007/978-3-032-14518-5_3.
short: 'O. Werth, C. Koldewey, M. Uslar, J. Zerbin, in: Lecture Notes in Business
Information Processing, Springer Nature Switzerland, Cham, 2026.'
conference:
end_date: 2025-11-26
location: Stuttgart, Germany
name: 16th International Conference on Software Business (ICSOB 2025)
start_date: 2025-11-24
date_created: 2026-01-27T11:56:10Z
date_updated: 2026-03-18T07:12:49Z
department:
- _id: '563'
doi: 10.1007/978-3-032-14518-5_3
keyword:
- Industry 4.0
- Taxonomy
- Data spaces
- Characterization
language:
- iso: eng
place: Cham
publication: Lecture Notes in Business Information Processing
publication_identifier:
isbn:
- '9783032145178'
- '9783032145185'
issn:
- 1865-1348
- 1865-1356
publication_status: published
publisher: Springer Nature Switzerland
quality_controlled: '1'
status: public
title: What Characterizes Data Spaces in Industry 4.0? Towards a Better Understanding
type: conference
user_id: '51711'
year: '2026'
...
---
_id: '66288'
abstract:
- lang: eng
text: "ABSTRACT:\r\n Engineers
simulate system behavior to support decisions in product engineering. Leveraging
such engineering simulation data in strategic product planning can support idea
generation and early evaluation of design alternatives and limitations. However,
limited resources and expertise hinder broader uptake in strategic product planning.
This paper investigates simulator integration into automated workflows and key
processing components to enable simulation without in-depth expertise. This approach
improves strategic product planning by creating data-based decision support."
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Niklas
full_name: Döhner, Niklas
id: '108017'
last_name: Döhner
orcid: https://orcid.org/0009-0005-7676-4036
citation:
ama: 'Gräßler I, Döhner N. Leveraging extreme-scale simulation data: a workflow
framework for multidisciplinary simulator integration. In: Proceedings of the
Design Society. Vol 6. Cambridge University Press (CUP); 2026:357-366. doi:10.1017/pds.2026.10394'
apa: 'Gräßler, I., & Döhner, N. (2026). Leveraging extreme-scale simulation
data: a workflow framework for multidisciplinary simulator integration. Proceedings
of the Design Society, 6, 357–366. https://doi.org/10.1017/pds.2026.10394'
bibtex: '@inproceedings{Gräßler_Döhner_2026, title={Leveraging extreme-scale simulation
data: a workflow framework for multidisciplinary simulator integration}, volume={6},
DOI={10.1017/pds.2026.10394},
booktitle={Proceedings of the Design Society}, publisher={Cambridge University
Press (CUP)}, author={Gräßler, Iris and Döhner, Niklas}, year={2026}, pages={357–366}
}'
chicago: 'Gräßler, Iris, and Niklas Döhner. “Leveraging Extreme-Scale Simulation
Data: A Workflow Framework for Multidisciplinary Simulator Integration.” In Proceedings
of the Design Society, 6:357–66. Cambridge University Press (CUP), 2026. https://doi.org/10.1017/pds.2026.10394.'
ieee: 'I. Gräßler and N. Döhner, “Leveraging extreme-scale simulation data: a workflow
framework for multidisciplinary simulator integration,” in Proceedings of the
Design Society, 2026, vol. 6, pp. 357–366, doi: 10.1017/pds.2026.10394.'
mla: 'Gräßler, Iris, and Niklas Döhner. “Leveraging Extreme-Scale Simulation Data:
A Workflow Framework for Multidisciplinary Simulator Integration.” Proceedings
of the Design Society, vol. 6, Cambridge University Press (CUP), 2026, pp.
357–66, doi:10.1017/pds.2026.10394.'
short: 'I. Gräßler, N. Döhner, in: Proceedings of the Design Society, Cambridge
University Press (CUP), 2026, pp. 357–366.'
date_created: 2026-07-06T15:45:02Z
date_updated: 2026-07-06T15:50:37Z
department:
- _id: '152'
doi: 10.1017/pds.2026.10394
intvolume: ' 6'
keyword:
- simulation-based design
- design tools
- multi-/cross-/trans-disciplinary approaches
- simulation data reuse
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.cambridge.org/core/journals/proceedings-of-the-design-society/article/leveraging-extremescale-simulation-data-a-workflow-framework-for-multidisciplinary-simulator-integration/7487C465DBA5DC633F1A37609C2E3D70
oa: '1'
page: 357-366
publication: Proceedings of the Design Society
publication_identifier:
issn:
- 2732-527X
publication_status: published
publisher: Cambridge University Press (CUP)
quality_controlled: '1'
status: public
title: 'Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary
simulator integration'
type: conference
user_id: '108017'
volume: 6
year: '2026'
...
---
_id: '66548'
abstract:
- lang: eng
text: "The Circular Economy is considered a key approach to addressing resource
scarcity, rising raw material prices, and the need for more resilient value chains.
However, its practical implementation is often hindered by the lack of suitable
and standardized metrics, as well as by high requirements for horizontal and vertical
data integration. This white paper illustrates, through selected Manufacturing-X
projects, how federated data ecosystems can help establish Circular Economy metrics
as an effective management instrument for growth, margin protection, and resilience.\r\nBased
on literature, industrial practice, and demonstrators, Circular Economy metrics
are structured into four groups: overarching assessment approaches, disassembly-related
indicators, lifetime-oriented metrics, and end-of-life and recycling-focused indicators.
Use cases from Construct-X, Decide4ECO, Fluid 4.0, Chem-X, and other Manufacturing-X
initiatives demonstrate the benefits of data-driven approaches for product, component,
and material loops. At the same time, they reveal a current lack of interoperable,
cross-industry standards for both metrics and data models.\r\nThe white paper
concludes that data ecosystems such as Manufacturing-X are a key enabler for scaling
circular business models. In particular, shared cross-sector frameworks for metrics,
standardized information models based for example on the Asset Administration
Shell, and the integration of circular metrics into existing systems and processes
are essential. The work presented therefore marks an important step toward a data-driven
and economically viable Circular Economy."
author:
- first_name: Jens
full_name: Pottebaum, Jens
id: '405'
last_name: Pottebaum
orcid: http://orcid.org/0000-0001-8778-2989
- first_name: Katrin
full_name: Dietrich, Katrin
last_name: Dietrich
- first_name: Lara
full_name: Schmidt, Lara
last_name: Schmidt
- first_name: Mostafa
full_name: Biglari, Mostafa
last_name: Biglari
- first_name: Michael-Georg
full_name: Schmidt, Michael-Georg
last_name: Schmidt
- first_name: Alessandro
full_name: Pistillo, Alessandro
last_name: Pistillo
- first_name: Nadja
full_name: Gravina, Nadja
last_name: Gravina
- first_name: Franziska
full_name: Schmidt, Franziska
last_name: Schmidt
citation:
ama: Pottebaum J, Dietrich K, Schmidt L, et al. Understanding the Value of Data
Ecosystems for Circular Economy Metrics. Manufacturing-X Guidance Board; 2026.
doi:10.24406/PUBLICA-9382
apa: Pottebaum, J., Dietrich, K., Schmidt, L., Biglari, M., Schmidt, M.-G., Pistillo,
A., Gravina, N., & Schmidt, F. (2026). Understanding the Value of Data
Ecosystems for Circular Economy Metrics. Manufacturing-X Guidance Board. https://doi.org/10.24406/PUBLICA-9382
bibtex: '@book{Pottebaum_Dietrich_Schmidt_Biglari_Schmidt_Pistillo_Gravina_Schmidt_2026,
place={Berlin}, title={Understanding the Value of Data Ecosystems for Circular
Economy Metrics}, DOI={10.24406/PUBLICA-9382},
publisher={Manufacturing-X Guidance Board}, author={Pottebaum, Jens and Dietrich,
Katrin and Schmidt, Lara and Biglari, Mostafa and Schmidt, Michael-Georg and Pistillo,
Alessandro and Gravina, Nadja and Schmidt, Franziska}, year={2026} }'
chicago: 'Pottebaum, Jens, Katrin Dietrich, Lara Schmidt, Mostafa Biglari, Michael-Georg
Schmidt, Alessandro Pistillo, Nadja Gravina, and Franziska Schmidt. Understanding
the Value of Data Ecosystems for Circular Economy Metrics. Berlin: Manufacturing-X
Guidance Board, 2026. https://doi.org/10.24406/PUBLICA-9382.'
ieee: 'J. Pottebaum et al., Understanding the Value of Data Ecosystems
for Circular Economy Metrics. Berlin: Manufacturing-X Guidance Board, 2026.'
mla: Pottebaum, Jens, et al. Understanding the Value of Data Ecosystems for Circular
Economy Metrics. Manufacturing-X Guidance Board, 2026, doi:10.24406/PUBLICA-9382.
short: J. Pottebaum, K. Dietrich, L. Schmidt, M. Biglari, M.-G. Schmidt, A. Pistillo,
N. Gravina, F. Schmidt, Understanding the Value of Data Ecosystems for Circular
Economy Metrics, Manufacturing-X Guidance Board, Berlin, 2026.
date_created: 2026-07-20T19:06:41Z
date_updated: 2026-07-20T19:13:06Z
department:
- _id: '152'
doi: 10.24406/PUBLICA-9382
has_accepted_license: '1'
keyword:
- Circular Economy
- Circular Economy Metrics
- Manufacturing-X
- Data Ecosystems
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
place: Berlin
publication_status: published
publisher: Manufacturing-X Guidance Board
status: public
title: Understanding the Value of Data Ecosystems for Circular Economy Metrics
type: report
user_id: '405'
year: '2026'
...
---
_id: '66070'
abstract:
- lang: ger
text: Der Beitrag stellt einen Online-Quick-Check vor, der KMU einen niedrigschwelligen
Einstieg in industrielle Datenräume ermöglicht. Der Check kombiniert eine zweidimensionale
Einschätzung der Readiness (strategisch/technologisch) mit einer Mehrwert-Priorisierung
zur Ableitung passender Use Cases. In einer Pilotierung (n = 19) zeigen sich v.
a. Defizite bei der Vernetzung, den datenbasierten Entscheidungen und Datenrollen;
priorisiert werden Mehrwerte in Planung, Qualität und Effizienz.
article_type: original
author:
- first_name: Julian
full_name: Zerbin, Julian
id: '51711'
last_name: Zerbin
orcid: 0009-0001-1003-7558
- first_name: Max
full_name: Grünwoldt, Max
last_name: Grünwoldt
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: Zerbin J, Grünwoldt M, Koldewey C, Dumitrescu R. Ein Quick-Check für Industrielle
Datenräume – Voraussetzungen und Mehrwerte. Zeitschrift für wirtschaftlichen
Fabrikbetrieb. 2026;121(6):458-462. doi:10.1515/zwf-2026-1077
apa: Zerbin, J., Grünwoldt, M., Koldewey, C., & Dumitrescu, R. (2026). Ein Quick-Check
für Industrielle Datenräume – Voraussetzungen und Mehrwerte. Zeitschrift für
wirtschaftlichen Fabrikbetrieb, 121(6), 458–462. https://doi.org/10.1515/zwf-2026-1077
bibtex: '@article{Zerbin_Grünwoldt_Koldewey_Dumitrescu_2026, title={Ein Quick-Check
für Industrielle Datenräume – Voraussetzungen und Mehrwerte}, volume={121}, DOI={10.1515/zwf-2026-1077}, number={6},
journal={Zeitschrift für wirtschaftlichen Fabrikbetrieb}, publisher={Walter de
Gruyter GmbH}, author={Zerbin, Julian and Grünwoldt, Max and Koldewey, Christian
and Dumitrescu, Roman}, year={2026}, pages={458–462} }'
chicago: 'Zerbin, Julian, Max Grünwoldt, Christian Koldewey, and Roman Dumitrescu.
“Ein Quick-Check für Industrielle Datenräume – Voraussetzungen und Mehrwerte.”
Zeitschrift für wirtschaftlichen Fabrikbetrieb 121, no. 6 (2026): 458–62.
https://doi.org/10.1515/zwf-2026-1077.'
ieee: 'J. Zerbin, M. Grünwoldt, C. Koldewey, and R. Dumitrescu, “Ein Quick-Check
für Industrielle Datenräume – Voraussetzungen und Mehrwerte,” Zeitschrift für
wirtschaftlichen Fabrikbetrieb, vol. 121, no. 6, pp. 458–462, 2026, doi: 10.1515/zwf-2026-1077.'
mla: Zerbin, Julian, et al. “Ein Quick-Check für Industrielle Datenräume – Voraussetzungen
und Mehrwerte.” Zeitschrift für wirtschaftlichen Fabrikbetrieb, vol. 121,
no. 6, Walter de Gruyter GmbH, 2026, pp. 458–62, doi:10.1515/zwf-2026-1077.
short: J. Zerbin, M. Grünwoldt, C. Koldewey, R. Dumitrescu, Zeitschrift für wirtschaftlichen
Fabrikbetrieb 121 (2026) 458–462.
date_created: 2026-06-29T07:18:52Z
date_updated: 2026-10-13T08:02:04Z
department:
- _id: '563'
doi: 10.1515/zwf-2026-1077
intvolume: ' 121'
issue: '6'
keyword:
- KMU
- Data Space
- Data Sharing
- Industrie 4.0
- Datensouveränität
- Readiness
language:
- iso: ger
page: 458-462
publication: Zeitschrift für wirtschaftlichen Fabrikbetrieb
publication_identifier:
issn:
- 2511-0896
- 0947-0085
publication_status: published
publisher: Walter de Gruyter GmbH
quality_controlled: '1'
status: public
title: Ein Quick-Check für Industrielle Datenräume – Voraussetzungen und Mehrwerte
type: journal_article
user_id: '51711'
volume: 121
year: '2026'
...
---
_id: '66071'
abstract:
- lang: eng
text: "Data ecosystems offer new opportunities for value creation by enabling companies
to combine and reuse\r\ndata beyond their own boundaries. Coopetition, i.e., simultaneous
cooperation and competition, is an\r\nimportant dynamic within data ecosystems
that must be understood and managed well to leverage the\r\nnon-rivalrous nature
of data. A systematic literature review of 38 peer-reviewed studies on ecosystems\r\nand
coopetition was conducted to clarify how coopetition affects data ecosystems.
Using qualitative\r\ncontent analysis, the study summarizes how coopetition is
calibrated, what results it produces, and what\r\nchallenges are associated with
it. The resulting Data Ecosystem Coopetition (DECo) model specifies\r\nfour management
levers, as well as the associated outcomes and common challenges. In addition,
six\r\ncycles were identified that link levers, challenges, and outcomes. These
cycles provide concise guidance\r\non elements that tend to vary together and
highlight areas that are prone to specific tensions."
author:
- first_name: Julian
full_name: Zerbin, Julian
id: '51711'
last_name: Zerbin
orcid: 0009-0001-1003-7558
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Zerbin J, Koldewey C, Dumitrescu R. Towards An Understanding Of Coopetition
In Data Ecosystems: A Systematic Literature Review. In: ECIS 2026 Proceedings.
; 2026.'
apa: 'Zerbin, J., Koldewey, C., & Dumitrescu, R. (2026). Towards An Understanding
Of Coopetition In Data Ecosystems: A Systematic Literature Review. ECIS 2026
Proceedings. The 34th European Conference on Information System (ECIS), Mailand.'
bibtex: '@inproceedings{Zerbin_Koldewey_Dumitrescu_2026, title={Towards An Understanding
Of Coopetition In Data Ecosystems: A Systematic Literature Review}, booktitle={ECIS
2026 Proceedings}, author={Zerbin, Julian and Koldewey, Christian and Dumitrescu,
Roman}, year={2026} }'
chicago: 'Zerbin, Julian, Christian Koldewey, and Roman Dumitrescu. “Towards An
Understanding Of Coopetition In Data Ecosystems: A Systematic Literature Review.”
In ECIS 2026 Proceedings, 2026.'
ieee: 'J. Zerbin, C. Koldewey, and R. Dumitrescu, “Towards An Understanding Of Coopetition
In Data Ecosystems: A Systematic Literature Review,” presented at the The 34th
European Conference on Information System (ECIS), Mailand, 2026.'
mla: 'Zerbin, Julian, et al. “Towards An Understanding Of Coopetition In Data Ecosystems:
A Systematic Literature Review.” ECIS 2026 Proceedings, 2026.'
short: 'J. Zerbin, C. Koldewey, R. Dumitrescu, in: ECIS 2026 Proceedings, 2026.'
conference:
end_date: 2026-06-17
location: Mailand
name: The 34th European Conference on Information System (ECIS)
start_date: 2026-06-14
date_created: 2026-06-29T07:34:44Z
date_updated: 2026-10-13T08:03:09Z
department:
- _id: '563'
keyword:
- data sharing
- interfirm relations
- paradox theory
- strategic alliances
- network governance
language:
- iso: eng
main_file_link:
- url: 'https://aisel.aisnet.org/ecis2026/datasc_isresearch/datasc_isresearch/3 '
publication: ECIS 2026 Proceedings
publication_status: published
quality_controlled: '1'
status: public
title: 'Towards An Understanding Of Coopetition In Data Ecosystems: A Systematic Literature
Review'
type: conference
user_id: '51711'
year: '2026'
...
---
_id: '66073'
abstract:
- lang: eng
text: Data-driven business models are transforming industries, yet small and medium-sized
enterprises (SMEs) often lack the resources to participate in emerging data sharing
initiatives. Data spaces provide a federated infrastructure for sovereign data
sharing, but SME participation remains limited due to complex onboarding processes
involving technical, organizational, legal, and economic barriers. Data trustees
have been proposed as intermediaries to facilitate data sharing, but their specific
role in supporting SME onboarding has not been systematically explored. Here we
present a reference process for SME data space onboarding and derive four design
principles, structured along the TELO framework, describing how data trustees
can address these barriers. Our findings reveal that SMEs require comprehensive
support throughout the onboarding journey, with particular emphasis on business
case development. The results offer actionable guidance for data space operators
and policymakers seeking to broaden ecosystem participation as the European Union
advances its data strategy.
author:
- first_name: Marius Johannes
full_name: Hupperz, Marius Johannes
last_name: Hupperz
- first_name: Julian
full_name: Zerbin, Julian
id: '51711'
last_name: Zerbin
orcid: 0009-0001-1003-7558
- first_name: Julia
full_name: Kunert, Julia
last_name: Kunert
citation:
ama: 'Hupperz MJ, Zerbin J, Kunert J. Toward Design Principles for Data Trustee-Supported
SME Onboarding in Data Spaces. In: AMCIS 2026 Proceedings. ; 2026.'
apa: Hupperz, M. J., Zerbin, J., & Kunert, J. (2026). Toward Design Principles
for Data Trustee-Supported SME Onboarding in Data Spaces. AMCIS 2026 Proceedings.
America’s Conference on Information Systems (AMCIS) 2026, Reno - Nevada.
bibtex: '@inproceedings{Hupperz_Zerbin_Kunert_2026, title={Toward Design Principles
for Data Trustee-Supported SME Onboarding in Data Spaces}, booktitle={AMCIS 2026
Proceedings}, author={Hupperz, Marius Johannes and Zerbin, Julian and Kunert,
Julia}, year={2026} }'
chicago: Hupperz, Marius Johannes, Julian Zerbin, and Julia Kunert. “Toward Design
Principles for Data Trustee-Supported SME Onboarding in Data Spaces.” In AMCIS
2026 Proceedings, 2026.
ieee: M. J. Hupperz, J. Zerbin, and J. Kunert, “Toward Design Principles for Data
Trustee-Supported SME Onboarding in Data Spaces,” presented at the America’s Conference
on Information Systems (AMCIS) 2026, Reno - Nevada, 2026.
mla: Hupperz, Marius Johannes, et al. “Toward Design Principles for Data Trustee-Supported
SME Onboarding in Data Spaces.” AMCIS 2026 Proceedings, 2026.
short: 'M.J. Hupperz, J. Zerbin, J. Kunert, in: AMCIS 2026 Proceedings, 2026.'
conference:
end_date: 2026-08-22
location: Reno - Nevada
name: America’s Conference on Information Systems (AMCIS) 2026
start_date: 2026-08-20
date_created: 2026-06-29T07:47:42Z
date_updated: 2026-10-13T08:02:50Z
department:
- _id: '563'
keyword:
- Data spaces
- data trustees
- SME Onboarding
- data sharing
language:
- iso: eng
main_file_link:
- url: 'https://aisel.aisnet.org/amcis2026/sigadit/sigadit/5 '
publication: AMCIS 2026 Proceedings
publication_status: published
quality_controlled: '1'
status: public
title: Toward Design Principles for Data Trustee-Supported SME Onboarding in Data
Spaces
type: conference
user_id: '51711'
year: '2026'
...
---
_id: '66072'
abstract:
- lang: eng
text: Data Spaces are establishing themselves as a decentralized alternative for
sovereign data sharing across organizations. However, their adoption faces significant
challenges, particularly the lack of proven business models that encourage participation
and value creation. A data space business model captures value differently than
either traditional business models or platform business models. This paper addresses
this challenge by developing the Data Space Canvas, a structured framework for
designing and aligning business models in data spaces consisting of nine building
blocks. The canvas was developed following the design science research methodology.
The modular and role-specific structure of the Data Space Canvas facilitates shared
understanding and supports business model development across participants. This
research contributes a practical tool that enables organizations to conceptualize,
communicate, and refine their role and business model in data spaces.
author:
- first_name: Julian
full_name: Zerbin, Julian
id: '51711'
last_name: Zerbin
orcid: 0009-0001-1003-7558
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Zerbin J, Koldewey C, Dumitrescu R. The Data Space Canvas: A Framework For
Structuring Business Models In Data Spaces. In: ECIS 2026 Proceedings.
; 2026.'
apa: 'Zerbin, J., Koldewey, C., & Dumitrescu, R. (2026). The Data Space Canvas:
A Framework For Structuring Business Models In Data Spaces. ECIS 2026 Proceedings.
The 34th European Conference on Information System (ECIS), Mailand.'
bibtex: '@inproceedings{Zerbin_Koldewey_Dumitrescu_2026, title={The Data Space Canvas:
A Framework For Structuring Business Models In Data Spaces}, booktitle={ECIS 2026
Proceedings}, author={Zerbin, Julian and Koldewey, Christian and Dumitrescu, Roman},
year={2026} }'
chicago: 'Zerbin, Julian, Christian Koldewey, and Roman Dumitrescu. “The Data Space
Canvas: A Framework For Structuring Business Models In Data Spaces.” In ECIS
2026 Proceedings, 2026.'
ieee: 'J. Zerbin, C. Koldewey, and R. Dumitrescu, “The Data Space Canvas: A Framework
For Structuring Business Models In Data Spaces,” presented at the The 34th European
Conference on Information System (ECIS), Mailand, 2026.'
mla: 'Zerbin, Julian, et al. “The Data Space Canvas: A Framework For Structuring
Business Models In Data Spaces.” ECIS 2026 Proceedings, 2026.'
short: 'J. Zerbin, C. Koldewey, R. Dumitrescu, in: ECIS 2026 Proceedings, 2026.'
conference:
end_date: 2026-06-17
location: Mailand
name: The 34th European Conference on Information System (ECIS)
start_date: 2026-06-14
date_created: 2026-06-29T07:40:42Z
date_updated: 2026-10-13T08:03:06Z
department:
- _id: '563'
keyword:
- data ecosystems
- business model
- design science
- resource orchestration theory
- data sharing
language:
- iso: eng
main_file_link:
- url: 'https://aisel.aisnet.org/ecis2026/datasc_isresearch/datasc_isresearch/4 '
publication: ECIS 2026 Proceedings
publication_status: published
quality_controlled: '1'
status: public
title: 'The Data Space Canvas: A Framework For Structuring Business Models In Data
Spaces'
type: conference
user_id: '51711'
year: '2026'
...
---
_id: '67552'
abstract:
- lang: eng
text: Predictive Maintenance is a key element of data-driven maintenance strategies
in Industry 4.0. It promises improved asset availability and operational efficiency.
In addition to data analytics and machine learning, simulation-based assessment
and digital representations of production systems increasingly complement Predictive
Maintenance by enabling the evaluation of maintenance decisions and failure risks
before physical intervention. However, small and medium-sized enterprises (SMEs)
often face challenges in realizing these benefits due to insufficient employee
competencies across all domains. As a prerequisite, a clear understanding of competency
gaps that hinder employees to use relevant key technologies such as artificial
intelligence and data analytics is needed. This paper presents competency profiles
that define relevant competencies for the use of simulation-based Predictive Maintenance
and map these competencies to relevant roles that need them. The study is based
on a systematic literature review about competencies for digitalization processes
in industry focusing on maintenance and, more specifically, data technologies
in maintenance. The competency profile is validated through a Delphi-Study with
industry representatives assessing the identified competency levels. The results
support a more holistic understanding of Predictive Maintenance and provide guidance
for targeted competency development in SMEs.
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Marcel
full_name: Niemeyer, Marcel
id: '68576'
last_name: Niemeyer
citation:
ama: 'Gräßler I, Niemeyer M. COMPETENCY PROFILES FOR THE USE OF PREDICTIVE MAINTENANCE
IN SMES. In: Gonzalez JDN, Romay MG, EUROSIS-ETI, eds. 24th INTERNATIONAL INDUSTRIAL
SIMULATION CONFERENCE. Vol 24. ; 2026:91-97.'
apa: Gräßler, I., & Niemeyer, M. (2026). COMPETENCY PROFILES FOR THE USE OF
PREDICTIVE MAINTENANCE IN SMES. In J. D. N. Gonzalez, M. G. Romay, & EUROSIS-ETI
(Eds.), 24th INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE (Vol. 24, pp.
91–97).
bibtex: '@inproceedings{Gräßler_Niemeyer_2026, title={COMPETENCY PROFILES FOR THE
USE OF PREDICTIVE MAINTENANCE IN SMES}, volume={24}, booktitle={24th INTERNATIONAL
INDUSTRIAL SIMULATION CONFERENCE}, author={Gräßler, Iris and Niemeyer, Marcel},
editor={Gonzalez, Jose David Nunez and Romay, Manuel Grana and EUROSIS-ETI}, year={2026},
pages={91–97} }'
chicago: Gräßler, Iris, and Marcel Niemeyer. “COMPETENCY PROFILES FOR THE USE OF
PREDICTIVE MAINTENANCE IN SMES.” In 24th INTERNATIONAL INDUSTRIAL SIMULATION
CONFERENCE, edited by Jose David Nunez Gonzalez, Manuel Grana Romay, and EUROSIS-ETI,
24:91–97, 2026.
ieee: I. Gräßler and M. Niemeyer, “COMPETENCY PROFILES FOR THE USE OF PREDICTIVE
MAINTENANCE IN SMES,” in 24th INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE,
San Sebastian, Spain, 2026, vol. 24, pp. 91–97.
mla: Gräßler, Iris, and Marcel Niemeyer. “COMPETENCY PROFILES FOR THE USE OF PREDICTIVE
MAINTENANCE IN SMES.” 24th INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE,
edited by Jose David Nunez Gonzalez et al., vol. 24, 2026, pp. 91–97.
short: 'I. Gräßler, M. Niemeyer, in: J.D.N. Gonzalez, M.G. Romay, EUROSIS-ETI (Eds.),
24th INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE, 2026, pp. 91–97.'
conference:
end_date: 2026-05-29
location: San Sebastian, Spain
name: ' 24th Industrial Simulation Conference 2026'
start_date: 2026-05-27
corporate_editor:
- EUROSIS-ETI
date_created: 2026-10-15T13:58:59Z
date_updated: 2026-10-15T14:00:01Z
department:
- _id: '9'
- _id: '152'
editor:
- first_name: Jose David Nunez
full_name: Gonzalez, Jose David Nunez
last_name: Gonzalez
- first_name: Manuel Grana
full_name: Romay, Manuel Grana
last_name: Romay
intvolume: ' 24'
keyword:
- Predictive Maintenance
- Artificial Intelligence
- Data Processing
- Competencies
- Role Profiles
language:
- iso: eng
page: 91-97
publication: 24th INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE
publication_identifier:
isbn:
- ' 978-9-492859-40-2'
publication_status: published
quality_controlled: '1'
status: public
title: COMPETENCY PROFILES FOR THE USE OF PREDICTIVE MAINTENANCE IN SMES
type: conference
user_id: '68576'
volume: 24
year: '2026'
...
---
_id: '66478'
abstract:
- lang: ger
text: "Für Lehrer*innen ist es wichtig, über die Qualität ihrer Arbeit informiert
zu sein, um sich an Schul- und Unterrichtsentwicklung beteiligen zu können. Das
vorliegende Lehrbuch bietet anhand eines erprobten Modells – eines Forschungszyklus
in Verbindung mit einem ergänzenden Innovationszyklus – konkrete Hilfestellungen,
um die eigene Tätigkeit zu reflektieren und weiterzuentwickeln.\r\nDer zugrundeliegende
Ansatz verbindet erfolgreiche Verfahren aus der niederländischen Lehrerinnen-
und Lehrerbildung mit etablierten Methoden der schulischen Praxisforschung im
deutschsprachigen Raum. Zahlreiche alltagsbezogene Beispiele illustrieren die
Grundsätze und Verfahrensschritte, während Übungsaufgaben zu Vertiefung und Wiederholung
anregen."
author:
- first_name: Annette
full_name: Textor, Annette
last_name: Textor
- first_name: Harry
full_name: Kullmann, Harry
id: '77972'
last_name: Kullmann
orcid: 0000-0001-5488-5105
- first_name: Cyrilla
full_name: van der Donk, Cyrilla
last_name: van der Donk
- first_name: Bas
full_name: van Lanen, Bas
last_name: van Lanen
citation:
ama: Textor A, Kullmann H, van der Donk C, van Lanen B. Praxisforschung in Schule
und Unterricht. Beltz Juventa; 2026.
apa: Textor, A., Kullmann, H., van der Donk, C., & van Lanen, B. (2026). Praxisforschung
in Schule und Unterricht. Beltz Juventa.
bibtex: '@book{Textor_Kullmann_van der Donk_van Lanen_2026, place={Weinheim}, title={Praxisforschung
in Schule und Unterricht}, publisher={Beltz Juventa}, author={Textor, Annette
and Kullmann, Harry and van der Donk, Cyrilla and van Lanen, Bas}, year={2026}
}'
chicago: 'Textor, Annette, Harry Kullmann, Cyrilla van der Donk, and Bas van Lanen.
Praxisforschung in Schule und Unterricht. Weinheim: Beltz Juventa, 2026.'
ieee: 'A. Textor, H. Kullmann, C. van der Donk, and B. van Lanen, Praxisforschung
in Schule und Unterricht. Weinheim: Beltz Juventa, 2026.'
mla: Textor, Annette, et al. Praxisforschung in Schule und Unterricht. Beltz
Juventa, 2026.
short: A. Textor, H. Kullmann, C. van der Donk, B. van Lanen, Praxisforschung in
Schule und Unterricht, Beltz Juventa, Weinheim, 2026.
date_created: 2026-07-14T08:10:44Z
date_updated: 2026-07-14T12:03:43Z
jel:
- I24
keyword:
- Praxisforschung
- Schulentwicklung
- Inklusion
- Data Literacy
language:
- iso: ger
page: '343'
place: Weinheim
publication_identifier:
isbn:
- 978-3-7799-4739-4
publication_status: published
publisher: Beltz Juventa
status: public
title: Praxisforschung in Schule und Unterricht
type: book
user_id: '77972'
year: '2026'
...
---
_id: '66449'
abstract:
- lang: eng
text: "This paper evaluates the forecasting performance of an expanded class of
(semi-)parametric \r\nGARCH models belonging to the EGARCH family (EGF), including
recently introduced long \r\nand short memory specifications and their semiparametric
extensions. The semiparametric \r\nvariants employ a multiplicative volatility
decomposition into conditional and slowly varying \r\nunconditional components,
where the latter is estimated via a data-driven local polynomial \r\nsmoother
to accommodate non-stationarities commonly observed in financial time series.
Based \r\non the revised Basel Committee framework for market-risk assessment,
all models are capable \r\nof producing rolling one-day-ahead forecasts for Value
at Risk (VaR) and Expected Shortfall \r\n(ES) under a wide range of symmetric
and skewed innovation distributions. Their forecasting \r\naccuracy is examined
using the regulatory traffic light tests for VaR and the recently developed \r\nES-specific
traffic light procedure, complemented by the regulatory loss function. In addition,
\r\nmodel selection incorporates both a recently proposed corrected firm-oriented
loss function that \r\naccounts for opportunity costs and the Weighted Absolute
Deviation (WAD) criterion. The \r\nempirical comparison demonstrates that (semiparametric)
long memory GARCH models - \r\nparticularly those combining fractional dynamics
with nonparametric scale adjustments - can \r\nserve as valuable alternatives
to traditional parametric short memory models, offering more \r\nstable volatility
estimates and improved tail-risk forecasts for practical risk management \r\napplications."
author:
- first_name: Dominik Christian
full_name: Hanke, Dominik Christian
id: '63677'
last_name: Hanke
- first_name: André
full_name: Uhde, André
id: '36049'
last_name: Uhde
- first_name: Yuanhua
full_name: Feng, Yuanhua
id: '20760'
last_name: Feng
citation:
ama: Hanke DC, Uhde A, Feng Y. Application of Novel Exponential (Semi-)Parametric
Short and Long Memory GARCH Models under Regulatory Requirements of Basel III.;
2026.
apa: Hanke, D. C., Uhde, A., & Feng, Y. (2026). Application of Novel Exponential
(Semi-)Parametric Short and Long Memory GARCH Models under Regulatory Requirements
of Basel III.
bibtex: '@book{Hanke_Uhde_Feng_2026, title={Application of Novel Exponential (Semi-)Parametric
Short and Long Memory GARCH Models under Regulatory Requirements of Basel III},
author={Hanke, Dominik Christian and Uhde, André and Feng, Yuanhua}, year={2026}
}'
chicago: Hanke, Dominik Christian, André Uhde, and Yuanhua Feng. Application
of Novel Exponential (Semi-)Parametric Short and Long Memory GARCH Models under
Regulatory Requirements of Basel III, 2026.
ieee: D. C. Hanke, A. Uhde, and Y. Feng, Application of Novel Exponential (Semi-)Parametric
Short and Long Memory GARCH Models under Regulatory Requirements of Basel III.
2026.
mla: Hanke, Dominik Christian, et al. Application of Novel Exponential (Semi-)Parametric
Short and Long Memory GARCH Models under Regulatory Requirements of Basel III.
2026.
short: D.C. Hanke, A. Uhde, Y. Feng, Application of Novel Exponential (Semi-)Parametric
Short and Long Memory GARCH Models under Regulatory Requirements of Basel III,
2026.
date_created: 2026-07-13T09:21:49Z
date_updated: 2026-07-16T09:07:19Z
ddc:
- '330'
department:
- _id: '200'
- _id: '186'
file:
- access_level: open_access
content_type: application/pdf
creator: dhanke
date_created: 2026-07-13T09:21:45Z
date_updated: 2026-07-13T09:21:45Z
file_id: '66450'
file_name: TAF_WP_105_HankeUhdeFeng2026.pdf
file_size: 1830858
relation: main_file
file_date_updated: 2026-07-13T09:21:45Z
has_accepted_license: '1'
jel:
- C22
- C4
- C5
- C6
- B26
keyword:
- semiparametric GARCH extension
- data-driven local polynomial smoother
- long memory
- GARCH models
- Value at Risk
- Expected Shortfall
- traffic light test
- backtesting
- Basel III
- market risk
language:
- iso: eng
oa: '1'
status: public
title: Application of Novel Exponential (Semi-)Parametric Short and Long Memory GARCH
Models under Regulatory Requirements of Basel III
type: working_paper
user_id: '63677'
year: '2026'
...
---
_id: '67427'
abstract:
- lang: eng
text: 'The successful provision of research data does not depend solely on the technical
quality of individual systems. Rather, what is crucial is how technical, organizational,
and communicative dimensions are interconnected and whether this results in recognizable
added value for researchers in their day-to-day work. In this context, both intrinsic
and extrinsic motivational factors influence the willingness to actively and continuously
use research data management (RDM) systems.This article synthesizes experiences
from two collaborating subprojects on information infrastructure (INF) within
two Collaborative Research Centers. Both develop and operate RDM structures for
interdisciplinary research consortia in the field of engineering and face comparable
challenges: Adhering to the rules of good scientific practice when handling data
is under pressure in today’s world; the benefits of individual data entries sometimes
remain abstract, and additional process steps can reduce acceptance of technical
solutions. The effort involved is primarily evaluated based on whether, from the
researchers’ perspective, it yields a recognizable benefit. Based on this, specific
approaches for user-oriented integration of different RDM levels are presented.
These include the integration of RDM tools into existing research tools and workflows,
cross-subproject access to information, as well as SPARQL-based search capabilities
and future approaches to knowledge exploration. One concrete example is an implemented
adapter that automatically transfers data sets from existing Excel files and electronic
lab notebook entries from eLabFTW into the RDM system, thereby reducing the number
of required process steps. Since the adapter was deployed, a measurable increase
in the number of datasets imported into the RDM system has been observed. Such
technical and procedural measures are complemented by workshops, personalized
support, systematic feedback, and the continuous adaptation of the systems to
the needs of researchers.This poster illustrates that RDM systems must be understood
as sociotechnical systems. It is only through the interplay of infrastructure,
process integration, communication, and perceived benefits that individual RDM
developments can be transformed into a practical service. The collaboration between
the two INF subprojects makes it possible to pool experiences, solution approaches,
and transferable design principles across institutions and research consortia.'
- lang: ger
text: 'Die erfolgreiche Bereitstellung von Forschungsdaten hängt nicht allein von
der technischen Qualität einzelner Systeme ab. Entscheidend ist vielmehr, wie
technische, organisatorische und kommunikative Ebenen miteinander verbunden werden
und ob daraus für Forschende ein erkennbarer Mehrwert im Arbeitsalltag entsteht.
Dabei beeinflussen sowohl intrinsische als auch extrinsische Motivationsfaktoren
die Bereitschaft, Systeme des Forschungsdatenmanagements (FDM) aktiv und kontinuierlich
zu nutzen.Der Beitrag bündelt Erfahrungen aus zwei kooperierenden Teilprojekten
zur Informationsinfrastruktur (INF) zweier Sonderforschungsbereiche. Beide entwickeln
und betreiben FDM-Strukturen für interdisziplinäre Forschungsverbünde im ingenieurwissenschaftlichen
Kontext und stehen vor vergleichbaren Herausforderungen: Der Umgang mit Daten
nach den Regeln der guten wissenschaftlichen Praxis steht in der heutigen Zeit
unter Druck, der Nutzen einzelner Eingaben bleibt mitunter abstrakt und zusätzliche
Prozessschritte können die Akzeptanz technischer Lösungen verringern. Aufwand
wird dabei wesentlich danach bewertet, ob ihm aus Sicht der Forschenden ein erkennbarer
Nutzen gegenübersteht.Ausgehend davon werden konkrete Ansätze zur nutzerorientierten
Verbindung unterschiedlicher FDM-Ebenen vorgestellt. Dazu zählen die Integration
von FDM-Tools in bestehende Forschungswerkzeuge und Arbeitsabläufe, der teilprojektübergreifende
Zugang zu Informationen sowie SPARQL-basierte Recherchemöglichkeiten und perspektivische
Wissensexploration. Ein konkretes Beispiel ist ein implementierter Adapter, der
Datensätze automatisiert aus bestehenden Excel-Dateien und aus elektronischen
Laborbüchereinträgen von eLabFTW in das FDM-System überträgt und damit zusätzliche
Prozessschritte reduziert. Nach Bereitstellung des Adapters lässt sich ein messbarer
Anstieg der in das FDM-System eingespielten Datensätze beobachten. Ergänzt werden
solche technischen und prozessualen Maßnahmen durch Workshops, persönliche Unterstützung,
systematisches Feedback und die kontinuierliche Anpassung der Systeme an die Bedarfe
der Forschenden.Der Beitrag verdeutlicht, dass FDM-Systeme als soziotechnische
Systeme verstanden werden müssen. Erst das Zusammenspiel von Infrastruktur, Prozessintegration,
Kommunikation und wahrgenommenem Nutzen macht aus einzelnen FDM-Entwicklungen
einen praxistauglichen Dienst. Die Zusammenarbeit der beiden INF-Teilprojekte
ermöglicht dabei Erfahrungen, Lösungsansätze und übertragbare Gestaltungsprinzipien
standort- und verbundübergreifend zu bündeln.'
author:
- first_name: Jasper
full_name: Stichternath, Jasper
id: '98404'
last_name: Stichternath
orcid: 0009-0004-2469-6302
- first_name: Laura
full_name: Müller, Laura
id: '44605'
last_name: Müller
- first_name: Andreas Maximilian
full_name: Schultz, Andreas Maximilian
id: '40599'
last_name: Schultz
- first_name: Oliver
full_name: Koepler, Oliver
last_name: Koepler
- first_name: Iryna
full_name: Mozgova, Iryna
id: '95903'
last_name: Mozgova
citation:
ama: 'Stichternath J, Müller L, Schultz AM, Koepler O, Mozgova I. Der Erfolg
von FDM-Systemen: Die Rolle von Wahrgenommenem Nutzen Und Motivation Der Anwendenden.
LibreCat University; 2026. doi:10.5281/ZENODO.23187775'
apa: 'Stichternath, J., Müller, L., Schultz, A. M., Koepler, O., & Mozgova,
I. (2026). Der Erfolg von FDM-Systemen: Die Rolle von wahrgenommenem Nutzen
und Motivation der Anwendenden. LibreCat University. https://doi.org/10.5281/ZENODO.23187775'
bibtex: '@book{Stichternath_Müller_Schultz_Koepler_Mozgova_2026, title={Der Erfolg
von FDM-Systemen: Die Rolle von wahrgenommenem Nutzen und Motivation der Anwendenden},
DOI={10.5281/ZENODO.23187775},
publisher={LibreCat University}, author={Stichternath, Jasper and Müller, Laura
and Schultz, Andreas Maximilian and Koepler, Oliver and Mozgova, Iryna}, year={2026}
}'
chicago: 'Stichternath, Jasper, Laura Müller, Andreas Maximilian Schultz, Oliver
Koepler, and Iryna Mozgova. Der Erfolg von FDM-Systemen: Die Rolle von Wahrgenommenem
Nutzen Und Motivation Der Anwendenden. LibreCat University, 2026. https://doi.org/10.5281/ZENODO.23187775.'
ieee: 'J. Stichternath, L. Müller, A. M. Schultz, O. Koepler, and I. Mozgova, Der
Erfolg von FDM-Systemen: Die Rolle von wahrgenommenem Nutzen und Motivation der
Anwendenden. LibreCat University, 2026.'
mla: 'Stichternath, Jasper, et al. Der Erfolg von FDM-Systemen: Die Rolle von
Wahrgenommenem Nutzen Und Motivation Der Anwendenden. LibreCat University,
2026, doi:10.5281/ZENODO.23187775.'
short: 'J. Stichternath, L. Müller, A.M. Schultz, O. Koepler, I. Mozgova, Der Erfolg
von FDM-Systemen: Die Rolle von Wahrgenommenem Nutzen Und Motivation Der Anwendenden,
LibreCat University, 2026.'
date_created: 2026-10-08T09:02:03Z
date_updated: 2026-10-09T07:39:23Z
ddc:
- '620'
department:
- _id: '741'
doi: 10.5281/ZENODO.23187775
has_accepted_license: '1'
keyword:
- Research Data Management
- Research Data Management Systems
- User Acceptance
- Sociotechnical Systems
- Perceived Usefulness
- Collaborative Research Centres
project:
- _id: '1080'
name: 'SFB 1153: Prozesskette zur Herstellung hybrider Hochleistungsbauteile durch
Tailored Forming'
- _id: '1082'
name: 'SFB 1368: Sauerstofffreie Produktion – Prozesse und Wirkzonen in sauerstofffreier
Atmosphäre zur Entwicklung zukunftsfähiger Produktionstechniken und Fertigungsverfahren'
publisher: LibreCat University
status: public
title: 'Der Erfolg von FDM-Systemen: Die Rolle von wahrgenommenem Nutzen und Motivation
der Anwendenden'
type: research_data
user_id: '98404'
year: '2026'
...
---
_id: '64787'
abstract:
- lang: eng
text: This study proposes a fault diagnostics methodology that addresses the challenges
posed by highly imbalanced datasets typical of railway applications, where faulty
conditions constitute the minority class. Fault diagnostics is performed from
the component level upward, considering each sensor’s proximity to its respective
critical component. Advanced signal analysis, feature engineering, and automated
data-driven model generation techniques were explored to achieve comprehensive
diagnostics, such that the model development process accounts for variations in
the operating conditions and differing levels of information availability. The
proposed methodology is evaluated on datasets from the MONOCAB, for scenarios
with limited faulty instances and on the Beijing 2024 IEEE PHM Conference data
challenge, which focused on fault diagnostics of railway systems under various
fault modes and operating conditions.
article_number: '1'
author:
- first_name: Osarenren Kennedy
full_name: Aimiyekagbon, Osarenren Kennedy
id: '9557'
last_name: Aimiyekagbon
- first_name: Alexander
full_name: Löwen, Alexander
id: '47233'
last_name: Löwen
- first_name: Raphael
full_name: Hanselle, Raphael
last_name: Hanselle
- first_name: Thomas
full_name: Rief, Thomas
last_name: Rief
- first_name: Maximilian
full_name: Beck, Maximilian
last_name: Beck
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Aimiyekagbon OK, Löwen A, Hanselle R, Rief T, Beck M, Sextro W. Multilevel
fault diagnostics for railway applications using limited historical data. In:
PHM Society Asia-Pacific Conference. Vol 5. ; 2025. doi:10.36001/phmap.2025.v5i1.4449'
apa: Aimiyekagbon, O. K., Löwen, A., Hanselle, R., Rief, T., Beck, M., & Sextro,
W. (2025). Multilevel fault diagnostics for railway applications using limited
historical data. PHM Society Asia-Pacific Conference, 5, Article
1. https://doi.org/10.36001/phmap.2025.v5i1.4449
bibtex: '@inproceedings{Aimiyekagbon_Löwen_Hanselle_Rief_Beck_Sextro_2025, title={Multilevel
fault diagnostics for railway applications using limited historical data}, volume={5},
DOI={10.36001/phmap.2025.v5i1.4449},
number={1}, booktitle={PHM Society Asia-Pacific Conference}, author={Aimiyekagbon,
Osarenren Kennedy and Löwen, Alexander and Hanselle, Raphael and Rief, Thomas
and Beck, Maximilian and Sextro, Walter}, year={2025} }'
chicago: Aimiyekagbon, Osarenren Kennedy, Alexander Löwen, Raphael Hanselle, Thomas
Rief, Maximilian Beck, and Walter Sextro. “Multilevel Fault Diagnostics for Railway
Applications Using Limited Historical Data.” In PHM Society Asia-Pacific Conference,
Vol. 5, 2025. https://doi.org/10.36001/phmap.2025.v5i1.4449.
ieee: 'O. K. Aimiyekagbon, A. Löwen, R. Hanselle, T. Rief, M. Beck, and W. Sextro,
“Multilevel fault diagnostics for railway applications using limited historical
data,” in PHM Society Asia-Pacific Conference, 2025, vol. 5, doi: 10.36001/phmap.2025.v5i1.4449.'
mla: Aimiyekagbon, Osarenren Kennedy, et al. “Multilevel Fault Diagnostics for Railway
Applications Using Limited Historical Data.” PHM Society Asia-Pacific Conference,
vol. 5, 1, 2025, doi:10.36001/phmap.2025.v5i1.4449.
short: 'O.K. Aimiyekagbon, A. Löwen, R. Hanselle, T. Rief, M. Beck, W. Sextro, in:
PHM Society Asia-Pacific Conference, 2025.'
date_created: 2026-02-27T20:41:54Z
date_updated: 2026-02-27T20:46:44Z
department:
- _id: '151'
doi: 10.36001/phmap.2025.v5i1.4449
intvolume: ' 5'
keyword:
- MONOCAB
- Beijing Data Challenge
- Diagnostics of railway systems
language:
- iso: eng
project:
- _id: '1355'
name: enableATO – Automatisierter Bahnverkehr als Backbone für eine nachhaltige,
vernetzte Mobilität im ländlichen Raum
publication: PHM Society Asia-Pacific Conference
publication_status: published
quality_controlled: '1'
status: public
title: Multilevel fault diagnostics for railway applications using limited historical
data
type: conference
user_id: '9557'
volume: 5
year: '2025'
...
---
_id: '62643'
author:
- first_name: Tobias
full_name: Schwabe, Tobias
id: '39217'
last_name: Schwabe
- first_name: Christian
full_name: Kress, Christian
id: '13256'
last_name: Kress
orcid: 0000-0002-4403-2237
- first_name: Stephan
full_name: Kruse, Stephan
id: '38254'
last_name: Kruse
- first_name: Maxim
full_name: Weizel, Maxim
id: '44271'
last_name: Weizel
orcid: 0000-0003-2699-9839
- first_name: Hanjo
full_name: Rhee, Hanjo
last_name: Rhee
- first_name: J. Christoph
full_name: Scheytt, J. Christoph
id: '37144'
last_name: Scheytt
orcid: '0000-0002-5950-6618 '
citation:
ama: Schwabe T, Kress C, Kruse S, Weizel M, Rhee H, Scheytt JC. Forward-Biased Silicon
Phase Shifter Modeling for Electronic-Photonic Co-Simulation and Validation in
a 250 nm EPIC BiCMOS Technology. Journal of Lightwave Technology. 2025;43(1):255-270.
doi:10.1109/JLT.2024.3450949
apa: Schwabe, T., Kress, C., Kruse, S., Weizel, M., Rhee, H., & Scheytt, J.
C. (2025). Forward-Biased Silicon Phase Shifter Modeling for Electronic-Photonic
Co-Simulation and Validation in a 250 nm EPIC BiCMOS Technology. Journal of
Lightwave Technology, 43(1), 255–270. https://doi.org/10.1109/JLT.2024.3450949
bibtex: '@article{Schwabe_Kress_Kruse_Weizel_Rhee_Scheytt_2025, title={Forward-Biased
Silicon Phase Shifter Modeling for Electronic-Photonic Co-Simulation and Validation
in a 250 nm EPIC BiCMOS Technology}, volume={43}, DOI={10.1109/JLT.2024.3450949},
number={1}, journal={Journal of Lightwave Technology}, author={Schwabe, Tobias
and Kress, Christian and Kruse, Stephan and Weizel, Maxim and Rhee, Hanjo and
Scheytt, J. Christoph}, year={2025}, pages={255–270} }'
chicago: 'Schwabe, Tobias, Christian Kress, Stephan Kruse, Maxim Weizel, Hanjo Rhee,
and J. Christoph Scheytt. “Forward-Biased Silicon Phase Shifter Modeling for Electronic-Photonic
Co-Simulation and Validation in a 250 Nm EPIC BiCMOS Technology.” Journal of
Lightwave Technology 43, no. 1 (2025): 255–70. https://doi.org/10.1109/JLT.2024.3450949.'
ieee: 'T. Schwabe, C. Kress, S. Kruse, M. Weizel, H. Rhee, and J. C. Scheytt, “Forward-Biased
Silicon Phase Shifter Modeling for Electronic-Photonic Co-Simulation and Validation
in a 250 nm EPIC BiCMOS Technology,” Journal of Lightwave Technology, vol.
43, no. 1, pp. 255–270, 2025, doi: 10.1109/JLT.2024.3450949.'
mla: Schwabe, Tobias, et al. “Forward-Biased Silicon Phase Shifter Modeling for
Electronic-Photonic Co-Simulation and Validation in a 250 Nm EPIC BiCMOS Technology.”
Journal of Lightwave Technology, vol. 43, no. 1, 2025, pp. 255–70, doi:10.1109/JLT.2024.3450949.
short: T. Schwabe, C. Kress, S. Kruse, M. Weizel, H. Rhee, J.C. Scheytt, Journal
of Lightwave Technology 43 (2025) 255–270.
date_created: 2025-11-27T07:14:34Z
date_updated: 2025-11-27T07:16:01Z
department:
- _id: '58'
doi: 10.1109/JLT.2024.3450949
intvolume: ' 43'
issue: '1'
keyword:
- Integrated circuit modeling
- Capacitance
- Silicon
- Modulation
- Adaptation models
- Semiconductor device modeling
- Bandwidth
- Data communication
- electrooptical transmitter
- equalization
- free-carrier-plasma dispersion effect
- modelling
- optical modulator
- phase shifter
- silicon photonics
language:
- iso: eng
page: 255-270
publication: Journal of Lightwave Technology
status: public
title: Forward-Biased Silicon Phase Shifter Modeling for Electronic-Photonic Co-Simulation
and Validation in a 250 nm EPIC BiCMOS Technology
type: journal_article
user_id: '38254'
volume: 43
year: '2025'
...
---
_id: '62644'
author:
- first_name: Tobias
full_name: Schwabe, Tobias
id: '39217'
last_name: Schwabe
- first_name: Christian
full_name: Kress, Christian
id: '13256'
last_name: Kress
orcid: 0000-0002-4403-2237
- first_name: Babak
full_name: Sadiye, Babak
id: '93634'
last_name: Sadiye
- first_name: Stephan
full_name: Kruse, Stephan
id: '38254'
last_name: Kruse
- first_name: J. Christoph
full_name: Scheytt, J. Christoph
id: '37144'
last_name: Scheytt
orcid: '0000-0002-5950-6618 '
citation:
ama: Schwabe T, Kress C, Sadiye B, Kruse S, Scheytt JC. Analysis and Design of Forward
Biased Silicon Photonics Phase Shifter Equalizer Circuits. IEEE Access.
2025;13:192433-192450. doi:10.1109/ACCESS.2025.3629385
apa: Schwabe, T., Kress, C., Sadiye, B., Kruse, S., & Scheytt, J. C. (2025).
Analysis and Design of Forward Biased Silicon Photonics Phase Shifter Equalizer
Circuits. IEEE Access, 13, 192433–192450. https://doi.org/10.1109/ACCESS.2025.3629385
bibtex: '@article{Schwabe_Kress_Sadiye_Kruse_Scheytt_2025, title={Analysis and Design
of Forward Biased Silicon Photonics Phase Shifter Equalizer Circuits}, volume={13},
DOI={10.1109/ACCESS.2025.3629385},
journal={IEEE Access}, author={Schwabe, Tobias and Kress, Christian and Sadiye,
Babak and Kruse, Stephan and Scheytt, J. Christoph}, year={2025}, pages={192433–192450}
}'
chicago: 'Schwabe, Tobias, Christian Kress, Babak Sadiye, Stephan Kruse, and J.
Christoph Scheytt. “Analysis and Design of Forward Biased Silicon Photonics Phase
Shifter Equalizer Circuits.” IEEE Access 13 (2025): 192433–50. https://doi.org/10.1109/ACCESS.2025.3629385.'
ieee: 'T. Schwabe, C. Kress, B. Sadiye, S. Kruse, and J. C. Scheytt, “Analysis and
Design of Forward Biased Silicon Photonics Phase Shifter Equalizer Circuits,”
IEEE Access, vol. 13, pp. 192433–192450, 2025, doi: 10.1109/ACCESS.2025.3629385.'
mla: Schwabe, Tobias, et al. “Analysis and Design of Forward Biased Silicon Photonics
Phase Shifter Equalizer Circuits.” IEEE Access, vol. 13, 2025, pp. 192433–50,
doi:10.1109/ACCESS.2025.3629385.
short: T. Schwabe, C. Kress, B. Sadiye, S. Kruse, J.C. Scheytt, IEEE Access 13 (2025)
192433–192450.
date_created: 2025-11-27T07:14:48Z
date_updated: 2025-11-27T07:16:06Z
department:
- _id: '58'
doi: 10.1109/ACCESS.2025.3629385
intvolume: ' 13'
keyword:
- Optical attenuators
- Equalizers
- Phase shifters
- Optical modulation
- Electro-optic modulators
- Optical amplifiers
- Circuits
- Silicon photonics
- Optical saturation
- Integrated circuit modeling
- Data communication
- equalization
- electro-optical transmitter
- silicon photonics
- phase shifter
- optical modulator
- free-carrier plasma dispersion effect
- driver architectures
- biasing schemes
language:
- iso: eng
page: 192433-192450
publication: IEEE Access
status: public
title: Analysis and Design of Forward Biased Silicon Photonics Phase Shifter Equalizer
Circuits
type: journal_article
user_id: '38254'
volume: 13
year: '2025'
...
---
_id: '62697'
abstract:
- lang: eng
text: "Urged by the European Energy Crisis and the threatening consequences of severe\r\nnatural
gas shortages, energy providers launched gas-saving initiatives incor-\r\nporating
financial incentives to reduce residential natural gas consumption. In\r\ncollaboration
with one of Germany’s largest energy providers, we conducted\r\na natural field
experiment (N = 2,598) to evaluate the effectiveness of a\r\nbehaviorally-guided
co-design of such a gas-saving initiative by implementing\r\ntwo established behavioral
instruments – reminders of gas saving intentions and\r\ndescriptive norm feedback.
Our findings show limited effectiveness of the behav-\r\nioral instruments during
the high-price period. The feedback risks a “boomerang\r\neffect” among households
with above-average initial savings, who reduce their\r\nconservation efforts in
response. The reminder does not significantly enhance sav-\r\nings in our main
specifications, yet, realizes 1 percentage point savings in alternate\r\nmodels
refining for outliers. Potential mechanisms include a significant intention-\r\naction
gap and misperceived effectiveness of energy-saving actions, which are not\r\nalleviated
by the reminder."
author:
- first_name: Vicky
full_name: Tinnefeld, Vicky
last_name: Tinnefeld
- first_name: Martin
full_name: Kesternich, Martin
id: '98922'
last_name: Kesternich
orcid: 0000-0002-0653-7680
- first_name: Madeline
full_name: Werthschulte, Madeline
last_name: Werthschulte
citation:
ama: Tinnefeld V, Kesternich M, Werthschulte M. Do Energy-Saving Nudges Deliver
During High-Price Periods? Field Experimental Evidence From the European Energy
Crisis. ZEW Discussion Paper No. 25-60; 2025.
apa: Tinnefeld, V., Kesternich, M., & Werthschulte, M. (2025). Do Energy-Saving
Nudges Deliver During High-Price Periods? Field Experimental Evidence From the
European Energy Crisis. ZEW Discussion Paper No. 25-60.
bibtex: '@book{Tinnefeld_Kesternich_Werthschulte_2025, title={Do Energy-Saving Nudges
Deliver During High-Price Periods? Field Experimental Evidence From the European
Energy Crisis}, publisher={ZEW Discussion Paper No. 25-60}, author={Tinnefeld,
Vicky and Kesternich, Martin and Werthschulte, Madeline}, year={2025} }'
chicago: Tinnefeld, Vicky, Martin Kesternich, and Madeline Werthschulte. Do Energy-Saving
Nudges Deliver During High-Price Periods? Field Experimental Evidence From the
European Energy Crisis. ZEW Discussion Paper No. 25-60, 2025.
ieee: V. Tinnefeld, M. Kesternich, and M. Werthschulte, Do Energy-Saving Nudges
Deliver During High-Price Periods? Field Experimental Evidence From the European
Energy Crisis. ZEW Discussion Paper No. 25-60, 2025.
mla: Tinnefeld, Vicky, et al. Do Energy-Saving Nudges Deliver During High-Price
Periods? Field Experimental Evidence From the European Energy Crisis. ZEW
Discussion Paper No. 25-60, 2025.
short: V. Tinnefeld, M. Kesternich, M. Werthschulte, Do Energy-Saving Nudges Deliver
During High-Price Periods? Field Experimental Evidence From the European Energy
Crisis, ZEW Discussion Paper No. 25-60, 2025.
date_created: 2025-11-28T12:07:25Z
date_updated: 2025-12-01T10:21:20Z
ddc:
- '330'
file:
- access_level: closed
content_type: application/pdf
creator: mkestern
date_created: 2025-11-28T12:04:11Z
date_updated: 2025-11-28T12:04:11Z
file_id: '62698'
file_name: dp25060.pdf
file_size: 2165853
relation: main_file
success: 1
file_date_updated: 2025-11-28T12:04:11Z
has_accepted_license: '1'
jel:
- C93
- D04
- D91
- Q41
keyword:
- Residential energy savings
- energy crisis
- behavioral interventions
- survey data
- field experiment
language:
- iso: eng
publisher: ZEW Discussion Paper No. 25-60
status: public
title: Do Energy-Saving Nudges Deliver During High-Price Periods? Field Experimental
Evidence From the European Energy Crisis
type: working_paper
user_id: '98922'
year: '2025'
...
---
_id: '61237'
abstract:
- lang: ger
text: In diesem Beitrag wird zunächst die historische Entstehung von Open Science
kurz skizziert und definiert, was unter diesem Begriff zu verstehen ist. Daran
anschließend werden die Open-Science-Praktiken Open Data, Open Access, Open Source,
Open Methodology und Open Peer Review dargestellt und diskutiert, welche Forschungserkenntnisse
zu Open Science vorhanden sind. Im Schluss werden Forschungsdesiderate aufgegriffen
und die Implikationen von Open Science für die Wissenschaft erläutert.
author:
- first_name: Isabel
full_name: Steinhardt, Isabel
id: '90339'
last_name: Steinhardt
orcid: https://orcid.org/0000-0002-2590-6189
- first_name: Ronny
full_name: Röwert, Ronny
last_name: Röwert
citation:
ama: 'Steinhardt I, Röwert R. Open Science. In: Pasternack P, Reinmann G, Schneijderberg
C, eds. Hochschulforschung. Nomos; 2025:487-496. doi:10.5771/9783748943334-487'
apa: Steinhardt, I., & Röwert, R. (2025). Open Science. In P. Pasternack, G.
Reinmann, & C. Schneijderberg (Eds.), Hochschulforschung (pp. 487–496).
Nomos. https://doi.org/10.5771/9783748943334-487
bibtex: '@inbook{Steinhardt_Röwert_2025, place={Baden-Baden}, title={Open Science},
DOI={10.5771/9783748943334-487},
booktitle={Hochschulforschung}, publisher={Nomos}, author={Steinhardt, Isabel
and Röwert, Ronny}, editor={Pasternack, Peer and Reinmann, Gabi and Schneijderberg,
Christian }, year={2025}, pages={487–496} }'
chicago: 'Steinhardt, Isabel, and Ronny Röwert. “Open Science.” In Hochschulforschung,
edited by Peer Pasternack, Gabi Reinmann, and Christian Schneijderberg, 487–96.
Baden-Baden: Nomos, 2025. https://doi.org/10.5771/9783748943334-487.'
ieee: 'I. Steinhardt and R. Röwert, “Open Science,” in Hochschulforschung,
P. Pasternack, G. Reinmann, and C. Schneijderberg, Eds. Baden-Baden: Nomos, 2025,
pp. 487–496.'
mla: Steinhardt, Isabel, and Ronny Röwert. “Open Science.” Hochschulforschung,
edited by Peer Pasternack et al., Nomos, 2025, pp. 487–96, doi:10.5771/9783748943334-487.
short: 'I. Steinhardt, R. Röwert, in: P. Pasternack, G. Reinmann, C. Schneijderberg
(Eds.), Hochschulforschung, Nomos, Baden-Baden, 2025, pp. 487–496.'
date_created: 2025-09-12T06:35:25Z
date_updated: 2025-12-17T09:05:53Z
ddc:
- '300'
department:
- _id: '121'
doi: 10.5771/9783748943334-487
editor:
- first_name: Peer
full_name: Pasternack, Peer
last_name: Pasternack
- first_name: Gabi
full_name: Reinmann, Gabi
last_name: Reinmann
- first_name: 'Christian '
full_name: 'Schneijderberg, Christian '
last_name: Schneijderberg
file:
- access_level: closed
content_type: application/pdf
creator: isste
date_created: 2025-09-12T06:37:04Z
date_updated: 2025-09-12T06:37:04Z
file_id: '61238'
file_name: 2025 Steinhardt & Röwert Open Science.pdf
file_size: 268261
relation: main_file
success: 1
file_date_updated: 2025-09-12T06:37:04Z
has_accepted_license: '1'
keyword:
- Open Data
- Open Access
- Open Source
- Open Methodology
- Open Peer Review
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://www.nomos-elibrary.de/de/document/view/detail/uuid/cc4f88b8-f9a8-32ef-a706-a9134f224090
oa: '1'
page: 487-496
place: Baden-Baden
publication: Hochschulforschung
publication_identifier:
isbn:
- '9783748943334'
publication_status: published
publisher: Nomos
quality_controlled: '1'
status: public
title: Open Science
type: book_chapter
user_id: '90339'
year: '2025'
...
---
_id: '63498'
author:
- first_name: Wilhelm
full_name: Kirchgässner, Wilhelm
last_name: Kirchgässner
- first_name: Nikolas
full_name: Förster, Nikolas
last_name: Förster
- first_name: Till
full_name: Piepenbrock, Till
last_name: Piepenbrock
- first_name: Oliver
full_name: Schweins, Oliver
last_name: Schweins
- first_name: Oliver
full_name: Wallscheid, Oliver
last_name: Wallscheid
citation:
ama: 'Kirchgässner W, Förster N, Piepenbrock T, Schweins O, Wallscheid O. HARDCORE:
H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated
Convolutional Neural Networks in Ferrite Cores. IEEE Transactions on Power
Electronics. 2025;40(2):3326-3335. doi:10.1109/TPEL.2024.3488174'
apa: 'Kirchgässner, W., Förster, N., Piepenbrock, T., Schweins, O., & Wallscheid,
O. (2025). HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms
With Residual, Dilated Convolutional Neural Networks in Ferrite Cores. IEEE
Transactions on Power Electronics, 40(2), 3326–3335. https://doi.org/10.1109/TPEL.2024.3488174'
bibtex: '@article{Kirchgässner_Förster_Piepenbrock_Schweins_Wallscheid_2025, title={HARDCORE:
H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated
Convolutional Neural Networks in Ferrite Cores}, volume={40}, DOI={10.1109/TPEL.2024.3488174},
number={2}, journal={IEEE Transactions on Power Electronics}, author={Kirchgässner,
Wilhelm and Förster, Nikolas and Piepenbrock, Till and Schweins, Oliver and Wallscheid,
Oliver}, year={2025}, pages={3326–3335} }'
chicago: 'Kirchgässner, Wilhelm, Nikolas Förster, Till Piepenbrock, Oliver Schweins,
and Oliver Wallscheid. “HARDCORE: H-Field and Power Loss Estimation for Arbitrary
Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores.”
IEEE Transactions on Power Electronics 40, no. 2 (2025): 3326–35. https://doi.org/10.1109/TPEL.2024.3488174.'
ieee: 'W. Kirchgässner, N. Förster, T. Piepenbrock, O. Schweins, and O. Wallscheid,
“HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual,
Dilated Convolutional Neural Networks in Ferrite Cores,” IEEE Transactions
on Power Electronics, vol. 40, no. 2, pp. 3326–3335, 2025, doi: 10.1109/TPEL.2024.3488174.'
mla: 'Kirchgässner, Wilhelm, et al. “HARDCORE: H-Field and Power Loss Estimation
for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in
Ferrite Cores.” IEEE Transactions on Power Electronics, vol. 40, no. 2,
2025, pp. 3326–35, doi:10.1109/TPEL.2024.3488174.'
short: W. Kirchgässner, N. Förster, T. Piepenbrock, O. Schweins, O. Wallscheid,
IEEE Transactions on Power Electronics 40 (2025) 3326–3335.
date_created: 2026-01-06T08:07:13Z
date_updated: 2026-01-06T08:08:01Z
department:
- _id: '52'
doi: 10.1109/TPEL.2024.3488174
intvolume: ' 40'
issue: '2'
keyword:
- Mathematical models
- Estimation
- Data models
- Convolutional neural networks
- Accuracy
- Magnetic hysteresis
- Magnetic cores
- Temperature measurement
- Magnetic domains
- Temperature distribution
- Convolutional neural network (CNN)
- machine learning (ML)
- magnetics
page: 3326-3335
publication: IEEE Transactions on Power Electronics
status: public
title: 'HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual,
Dilated Convolutional Neural Networks in Ferrite Cores'
type: journal_article
user_id: '83383'
volume: 40
year: '2025'
...
---
_id: '58650'
abstract:
- lang: eng
text: 'Technical systems are characterized by increasing interdisciplinarity, complexity
and networking. A product and its corresponding production systems require interdisciplinary
multi-objective optimization. Sustainability and recyclability demands increase
said complexity. The efficiency of previously established engineering methods
is reaching its limits, which can only be overcome by systematic integration of
extreme data. The aim of "hybrid decision support" is as follows: Data science
and artificial intelligence should be used to supplement human capabilities in
conjunction with existing heuristics, methods, modeling and simulation to increase
the efficiency of product creation.'
alternative_title:
- Hybride Entscheidungsunterstützung in der Produktentstehung - Mit Data Science und
Künstlicher Intelligenz die Leistungsfähigkeit erhöhen
article_type: original
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Jens
full_name: Pottebaum, Jens
id: '405'
last_name: Pottebaum
orcid: http://orcid.org/0000-0001-8778-2989
- first_name: Peter
full_name: Nyhuis, Peter
last_name: Nyhuis
- first_name: Rainer
full_name: Stark, Rainer
last_name: Stark
- first_name: Klaus-Dieter
full_name: Thoben, Klaus-Dieter
last_name: Thoben
- first_name: Petra
full_name: Wiederkehr, Petra
last_name: Wiederkehr
citation:
ama: Gräßler I, Pottebaum J, Nyhuis P, Stark R, Thoben K-D, Wiederkehr P. Hybrid
Decision Support in Product Creation - Improving performance with data science
and artificial intelligence. Industry 40 Science. 2025;2025(1). doi:10.30844/i4sd.25.1.18
apa: Gräßler, I., Pottebaum, J., Nyhuis, P., Stark, R., Thoben, K.-D., & Wiederkehr,
P. (2025). Hybrid Decision Support in Product Creation - Improving performance
with data science and artificial intelligence. Industry 4.0 Science, 2025(1).
https://doi.org/10.30844/i4sd.25.1.18
bibtex: '@article{Gräßler_Pottebaum_Nyhuis_Stark_Thoben_Wiederkehr_2025, title={Hybrid
Decision Support in Product Creation - Improving performance with data science
and artificial intelligence}, volume={2025}, DOI={10.30844/i4sd.25.1.18},
number={1}, journal={Industry 4.0 Science}, publisher={GITO mbH Verlag}, author={Gräßler,
Iris and Pottebaum, Jens and Nyhuis, Peter and Stark, Rainer and Thoben, Klaus-Dieter
and Wiederkehr, Petra}, year={2025} }'
chicago: Gräßler, Iris, Jens Pottebaum, Peter Nyhuis, Rainer Stark, Klaus-Dieter
Thoben, and Petra Wiederkehr. “Hybrid Decision Support in Product Creation - Improving
Performance with Data Science and Artificial Intelligence.” Industry 4.0 Science
2025, no. 1 (2025). https://doi.org/10.30844/i4sd.25.1.18.
ieee: 'I. Gräßler, J. Pottebaum, P. Nyhuis, R. Stark, K.-D. Thoben, and P. Wiederkehr,
“Hybrid Decision Support in Product Creation - Improving performance with data
science and artificial intelligence,” Industry 4.0 Science, vol. 2025,
no. 1, 2025, doi: 10.30844/i4sd.25.1.18.'
mla: Gräßler, Iris, et al. “Hybrid Decision Support in Product Creation - Improving
Performance with Data Science and Artificial Intelligence.” Industry 4.0 Science,
vol. 2025, no. 1, GITO mbH Verlag, 2025, doi:10.30844/i4sd.25.1.18.
short: I. Gräßler, J. Pottebaum, P. Nyhuis, R. Stark, K.-D. Thoben, P. Wiederkehr,
Industry 4.0 Science 2025 (2025).
date_created: 2025-02-15T09:31:30Z
date_updated: 2025-02-15T09:40:52Z
department:
- _id: '152'
doi: 10.30844/i4sd.25.1.18
intvolume: ' 2025'
issue: '1'
keyword:
- AI
- artificial intelligence
- Data Science
- decision support
- extreme data
- Künstliche Intelligenz
- product creation
- product development
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
publication: Industry 4.0 Science
publication_identifier:
issn:
- 2942-6170
publication_status: published
publisher: GITO mbH Verlag
quality_controlled: '1'
status: public
title: Hybrid Decision Support in Product Creation - Improving performance with data
science and artificial intelligence
type: journal_article
user_id: '405'
volume: 2025
year: '2025'
...
---
_id: '60497'
abstract:
- lang: eng
text: Despite the advantages that the virtual knowledge graph paradigm has brought
to many application domains, state-of-the-art systems still do not support popular
graph database management systems like Neo4j. Their query rewriting algorithms
focus on languages like conjunctive queries and their unions, which were developed
for relational data and are poorly suited for graph data. Moreover, they also
limit the expressiveness of the ontology languages that admit rewritings, restricting
them to those that enjoy the so-called FO-rewritability property. Rewritings have
thus focused on the DL-Lite family of Description Logics. In this paper, we propose
a technique for rewriting a family of navigational queries for a suitably tailored
fragment of ELHI. Leveraging navigational features in the target query language,
we can include some widely-used axiom shapes not supported by DL-Lite. We implemented
a proof-of-concept prototype that rewrites into Cypher queries, and tested it
on a real-world cognitive neuroscience use case with promising results.
author:
- first_name: Bianca
full_name: Löhnert, Bianca
last_name: Löhnert
- first_name: Nikolaus
full_name: Augsten, Nikolaus
last_name: Augsten
- first_name: Cem
full_name: Okulmus, Cem
id: '114410'
last_name: Okulmus
orcid: 0000-0002-7742-0439
- first_name: Magdalena
full_name: Ortiz, Magdalena
last_name: Ortiz
citation:
ama: 'Löhnert B, Augsten N, Okulmus C, Ortiz M. Towards Practicable Algorithms for Rewriting
Graph Queries Beyond DL-Lite. In: The Semantic Web - 22nd European Semantic
Web Conference, {ESWC} 2025, Portoroz, Slovenia, June 1-5, 2025, Proceedings,
Part {I}. Vol 15718. Lecture Notes in Computer Science. Springer Nature Switzerland;
2025:342--361. doi:10.1007/978-3-031-94575-5_19'
apa: Löhnert, B., Augsten, N., Okulmus, C., & Ortiz, M. (2025). Towards Practicable
Algorithms for Rewriting Graph Queries Beyond DL-Lite. The Semantic Web - 22nd
European Semantic Web Conference, {ESWC} 2025, Portoroz, Slovenia, June 1-5, 2025,
Proceedings, Part {I}, 15718, 342--361. https://doi.org/10.1007/978-3-031-94575-5_19
bibtex: '@inproceedings{Löhnert_Augsten_Okulmus_Ortiz_2025, series={Lecture Notes
in Computer Science}, title={Towards Practicable Algorithms for Rewriting Graph
Queries Beyond DL-Lite}, volume={15718}, DOI={10.1007/978-3-031-94575-5_19},
booktitle={The Semantic Web - 22nd European Semantic Web Conference, {ESWC} 2025,
Portoroz, Slovenia, June 1-5, 2025, Proceedings, Part {I}}, publisher={Springer
Nature Switzerland}, author={Löhnert, Bianca and Augsten, Nikolaus and Okulmus,
Cem and Ortiz, Magdalena}, year={2025}, pages={342--361}, collection={Lecture
Notes in Computer Science} }'
chicago: Löhnert, Bianca, Nikolaus Augsten, Cem Okulmus, and Magdalena Ortiz. “Towards
Practicable Algorithms for Rewriting Graph Queries Beyond DL-Lite.” In The
Semantic Web - 22nd European Semantic Web Conference, {ESWC} 2025, Portoroz, Slovenia,
June 1-5, 2025, Proceedings, Part {I}, 15718:342--361. Lecture Notes in Computer
Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-94575-5_19.
ieee: 'B. Löhnert, N. Augsten, C. Okulmus, and M. Ortiz, “Towards Practicable Algorithms
for Rewriting Graph Queries Beyond DL-Lite,” in The Semantic Web - 22nd European
Semantic Web Conference, {ESWC} 2025, Portoroz, Slovenia, June 1-5, 2025, Proceedings,
Part {I}, Portorož, Slovenia, 2025, vol. 15718, pp. 342--361, doi: 10.1007/978-3-031-94575-5_19.'
mla: Löhnert, Bianca, et al. “Towards Practicable Algorithms for Rewriting Graph
Queries Beyond DL-Lite.” The Semantic Web - 22nd European Semantic Web Conference,
{ESWC} 2025, Portoroz, Slovenia, June 1-5, 2025, Proceedings, Part {I}, vol.
15718, Springer Nature Switzerland, 2025, pp. 342--361, doi:10.1007/978-3-031-94575-5_19.
short: 'B. Löhnert, N. Augsten, C. Okulmus, M. Ortiz, in: The Semantic Web - 22nd
European Semantic Web Conference, {ESWC} 2025, Portoroz, Slovenia, June 1-5, 2025,
Proceedings, Part {I}, Springer Nature Switzerland, 2025, pp. 342--361.'
conference:
end_date: 2025-06-05
location: Portorož, Slovenia
name: 22th European Semantic Web Conference (ESWC 2025)
start_date: 2025-06-01
date_created: 2025-07-02T11:46:06Z
date_updated: 2025-07-02T11:55:19Z
department:
- _id: '888'
doi: 10.1007/978-3-031-94575-5_19
intvolume: ' 15718'
keyword:
- Ontology-based Data Access
- Property Graphs
- Navigational Queries
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2405.18181
oa: '1'
page: 342--361
publication: The Semantic Web - 22nd European Semantic Web Conference, {ESWC} 2025,
Portoroz, Slovenia, June 1-5, 2025, Proceedings, Part {I}
publication_identifier:
isbn:
- '9783031945748'
- '9783031945755'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
quality_controlled: '1'
series_title: Lecture Notes in Computer Science
status: public
title: Towards Practicable Algorithms for Rewriting Graph Queries Beyond DL-Lite
type: conference
user_id: '114410'
volume: 15718
year: '2025'
...