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OutlierFlag : A Tool for Scientific Data Quality Control by Outlier Data Flagging

Title data

Huang, Shuai ; Wang, Yaqiang ; Xie, Yuanli ; Zhao, Peng ; Lüers, Johannes:
OutlierFlag : A Tool for Scientific Data Quality Control by Outlier Data Flagging.
In: Journal of Open Research Software. Vol. 4 (2016) Issue 1 . - e20.
ISSN 2049-9647
DOI: https://doi.org/10.5334/jors.90

Official URL: Volltext

Abstract in another language

Scientific datasets collected by instruments usually include outliers which have to be flagged in data quality control process. OutlierFlag was developed to make this process accurate and simple by providing a suitable outlier data flagging algorithm and a user friendly GUI. The algorithm consists of three steps performed one by one: limitation check, error check and standard deviation check. Several parameters are configurable so the algorithm can be used for various datasets. OutlierFlag is an open source software written in Java and the MeteoInfo library was used for data plotting function.

Further data

Item Type: Article in a journal
Refereed: Yes
Additional notes: BAYCEER136646
Institutions of the University: Research Institutions
Research Institutions > Research Centres
Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professorship Micrometeorology
Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences
Result of work at the UBT: Yes
DDC Subjects: 500 Science
Date Deposited: 11 Aug 2016 07:57
Last Modified: 11 Aug 2016 07:57
URI: https://eref.uni-bayreuth.de/id/eprint/33890