Publication Details |
| Category | Text Publication |
| Reference Category | Journals |
| DOI | 10.1016/j.ecoinf.2025.103038 |
Licence  |
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| Title (Primary) | Automated curation of spatial metadata in environmental monitoring data |
| Author | Mutlu, İ.; Hackermüller, J.
; Schor, J. |
| Source Titel | Ecological Informatics |
| Year | 2025 |
| Department | COMPBC |
| Volume | 86 |
| Page From | art. 103038 |
| Language | englisch |
| Topic | T9 Healthy Planet |
| Data and Software links | https://doi.org/10.5281/zenodo.11395194 https://doi.org/10.5281/zenodo.13799955 |
| Keywords | Environmental monitoring; Spatial data accuracy; Automated data curation; Big data analytics; AI applications in hydrology |
| Abstract | Spatial data
accuracy in environmental monitoring is crucial for practical
large-scale data analytics and the development of AI models. In this
context, spatial data is metadata and faces the same challenges as any
other metadata, like missing values, false or contradicting information,
formatting problems of textual data and numbers, the usage of different
languages, and more. These issues severely limit the usability of the
data. With this study, we provide an automatic approach, CleanGeoStreamR, to resolve as many of these issues as possible for the spatially annotated environmental monitoring database. We substantially increased the quality of the spatial metadata and, therefore, the quantity of data points that can be used in large-scale data analytics and AI applications. Further, our goal is to raise awareness about the issues related to spatial metadata and promote the implementation of our concepts in other environmental monitoring data sources. Advanced understanding and the availability of automatic approaches like the presented method will substantially contribute to making environmental monitoring data FAIR and enhance its usability in the era of Big Data and AI. |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=30384 |
| Mutlu, İ., Hackermüller, J., Schor, J. (2025): Automated curation of spatial metadata in environmental monitoring data Ecol. Inform. 86 , art. 103038 10.1016/j.ecoinf.2025.103038 |
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