Challenges in Data Quality Management for IoT-Enhanced Event Logs
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Although IoT data quality is acknowledged as a problem in IoT-enhanced BPM, there is little literature proposing methods to address data quality in this context.
“Although IoT data quality is acknowledged as a problem in IoT-enhanced BPM [11,31,36], there is little literature proposing methods to address data quality in this context.”
From Case-Based Data Quality Management for IoT Logs: A Case Study Focusing on Detection of Data Quality Issues (2025) · cites this paper as [11]
The retrieval and first adaptation step address the detection phase according to the Data Quality Management Cycle (DQMC).
“The retrieval and this first adaptation step address the detection phase according to the DQMC [11] (see Section 3.1).”
From Case-Based Data Quality Management for IoT Logs: A Case Study Focusing on Detection of Data Quality Issues (2025) · cites this paper as [11]
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Integration of Time Series Embedding for Efficient Retrieval in Case-Based Reasoning
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“A newer, more abstract cycle view—the Data Quality Management Cycle (DQMC)—was introduced by Bertrand et al. [11].”
InfluentialSelf-citationHao, H., Fang, X., Kan, D., & Hao, C. (2026) · The Journal of Supercomputing · doi:10.1007/s11227-026-08531-4
Data Quality Cross-Domain Collaboration and Governance Framework for the Power Sectore
Wan, Z., Yang, J., Xiu, J., Ma, Q., Geng, X., Zang, X., & Yang, Q. (2026) · Lecture notes in electrical engineering · doi:10.1007/978-981-92-0232-4_33
- Authors
- Bertrand, Y., Schultheis, A., Malburg, L., Grüger, J., Asensio, E. S., & Bergmann, R.
- Affiliations
- Ghent University (BE)
- German Research Centre for Artificial Intelligence (DE)
- Corresponding author
- Bertrand, Yannis
- ORCID
- Venue
- Lecture Notes in Business Information Processing
- Publisher
- Springer Nature Switzerland
- Published
- 2025
- Pages
- 20-36
- ISSN
- 1865-1348 (ISSN-L)
- 1865-1356
- OpenAlex
- W4410392383
- Cited by
- 4
- References
- 27
- Citations by year
- 2026: 2 · 2025: 2
- FWCI
- 9.23
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- Lecture notes in business information processing (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (publishedVersion)
- Lirias (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Data Quality and Management
- Social Sciences › Business, Management and Accounting › Management Information Systems › Business Process Modeling and Analysis
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Keywords
- data quality management, Internet of Things, event logs, sensor data, missing data, noise, data quality issues, Industrial Internet of Things, process mining
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