Thesis Open Access
Towards a taxonomy for quality control in environmental sciences
Maduro, Jordan
Thesis supervisor(s)
Zhao, Zhiming
The use of environmental science data in forecasting and decision making makes producing high-quality data essential. To produce high-quality data research infrastructures develop quality control solutions ad hoc. Some methodologies, tools, and techniques apply to multiple environmental domains. However, sharing these tools is difficult because of a lack in standardization or common terminology. In this thesis, we propose a taxonomy for quality control in environmental sciences. The research was conducted through literature studies, interviews, and the development of the taxonomy. Furthermore, we surveyed the state of the art quality control methods.
This taxonomy can be used as a common vocabulary and to classify quality control methodologies, tools, and techniques.
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taxonomy-quality-control.pdf
md5:9ec85b8eec3a99964aa4c4f75bb5c207 |
939.4 kB | Download |
| All versions | This version | |
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| Views | 34 | 34 |
| Downloads | 13 | 13 |
| Data volume | 12.2 MB | 12.2 MB |
| Unique views | 30 | 30 |
| Unique downloads | 12 | 12 |
- Publication date:
- September 15, 2018
- DOI:
-
- Grants:
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European Commission:
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VRE4EIC - A Europe-wide Interoperable Virtual Research Environment to Empower Multidisciplinary Research Communities and Accelerate Innovation and Collaboration (676247)
- ENVRI PLUS - Environmental Research Infrastructures Providing Shared Solutions for Science and Society (654182)
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VRE4EIC - A Europe-wide Interoperable Virtual Research Environment to Empower Multidisciplinary Research Communities and Accelerate Innovation and Collaboration (676247)
- Awarding University:
- University of Amsterdam
- License (for files):
- Creative Commons Attribution 4.0 International