Details zur Publikation |
| Kategorie | Datenpublikation |
| DOI | 10.5281/zenodo.8092119 |
| Lizenz |
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| Titel (primär) | System for automated Quality Control (SaQC) to enable traceable and reproducible data streams in environmental science - Supplementary Material (1.0) |
| Autor | Schmidt, L.; Schäfer, D. |
| Quelle | Zenodo |
| Erscheinungsjahr | 2023 |
| Department | ASAM; SEEFO; CHS; MET |
| Sprache | englisch |
| Topic | T5 Future Landscapes |
| Abstract | Environmental sensor networks produce ever-growing volumes of raw data that need to be transformed into actionable data for monitoring of ongoing environmental changes and decision-support. The crucial challenge is the data provisioning in real-time which requires rigorous automation of quality control (QC) workflows using suitable software tools. We present the System for automated Quality Control (SaQC), a software framework for automated quality control of time series data that is universal and extensible in its set of domain-agnostic QC and processing functionalities, yet user-friendly in its low-code configuration environment. Two use cases present the configuration of basic and advanced quality control applications using SaQC. Also, we elaborate on the explicit user controls over the handling of quality flags and how SaQC can be used to make QC-workflows traceable and reproducible, thus promoting FAIR data streams of high quality. |
| Verknüpfte UFZ-Textpublikationen | |
| dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=27909 |
| Schmidt, L., Schäfer, D. (2023): System for automated Quality Control (SaQC) to enable traceable and reproducible data streams in environmental science - Supplementary Material (1.0) Zenodo 10.5281/zenodo.8092119 |
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