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Commit f383f9f1 authored by David Schäfer's avatar David Schäfer
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working on the title text

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7 merge requests!685Release 2.4,!684Release 2.4,!567Release 2.2.1,!566Release 2.2,!501Release 2.1,!372fix doctest snippets,!369Current documentation
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SaQC - System for automated Quality Control
===========================================
Quality Control of numerical data requires a significant amount of
domain knowledge and practical experience. Finding a robust setup of
quality tests that identifies as many suspicious values as possible, without
removing valid data, is usually a time-consuming endeavor,
even for experts. SaQC is both, a Python framework and a command line application, that
addresses the exploratory nature of quality control by offering a
continuously growing number of quality check routines through a flexible
and simple configuration system.
Below its user interface, SaQC is highly customizable and extensible.
A modular structure and well-defined interfaces make it easy to extend
the system with custom quality checks. Furthermore, even core components like
the flagging scheme are exchangeable.
SaQC is developed and maintained by the
`Research Data Management <https://www.ufz.de/index.php?en=45348>`_ Team at the
`Helmholz-Centre for Environmental Research - UFZ <https://www.ufz.de/>`_.
It manifests the requirements and experiences made from establishment and operation of
fully automated quality control pipelines for environmental sensor data.
The diversity of scientific communities involved and the special needs within the
realm of scientific data aqcuisition and its provisioning have shaped SaQC into
its current state.
We define SaQC: inherently consistent, yet externally extensible, traceable,
approachable for non-programmers and usable in a wide range of applications, from
exploratory interactive programming environments to large-scale fully automated,
managed workflows.
..
The number of involved scientific communities is large, ranging from hydrology to
climate sciences
obtained from scientific communities like water, soil and climate sciences.
SaQC by the :ref:`Research Data Management<https://www.ufz.de/index.php?de=45348>`_
Team at the :ref:`Helmholz-Centre for Environmental Research - UFZ<https://www.ufz.de/>`_
It builds
SaQC aims to be
- consitent
- extesible
-
Quality Control of numerical data requires a significant amount of
domain knowledge and practical experience. Finding a robust setup of
quality tests that identifies as many suspicious values as possible, without
removing valid data, is usually a time-consuming endeavor,
even for experts. SaQC is both, a Python framework and a command line application, that
addresses the exploratory nature of quality control by offering a
continuously growing number of quality check routines through a flexible
and simple configuration system.
Below its user interface, SaQC is highly customizable and extensible.
A modular structure and well-defined interfaces make it easy to extend
the system with custom quality checks. Furthermore, even core components like
the flagging scheme are exchangeable.
--------
Features
......@@ -72,6 +101,5 @@ Features
* - |sacProc|
- * modify your data by interpolations, corrections and transformations
* calculate data products, such as residues or outlier scores
* automatically keep track of labeling history and label significance
* - |sacMV|
- * apply multivariate flagging function
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