1067502
doi
10.5281/zenodo.1067502
oai:zenodo.org:1067502
Wagner, Florian M.
Department of Geophysics, Steinmann Institute, University of Bonn, Germany
Towards unified and reproducible processing of geoelectrical data
Weigand, Maximilian
Department of Geophysics, Steinmann Institute, University of Bonn, Germany
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
geophysics
open-source
data analysis
geoelectrics
REDA
<p><strong>REDA - A Python package for reproducible electrical data analysis</strong></p>
<p>The multitude of geoelectric measurement devices and inversion codes in use<br>
is mirrored in a multitude of individually tailored data importing and<br>
processing routines. The majority of scientific advancements in data processing<br>
(e.g., filtering schemes, error estimation) is therefore not directly<br>
transferable between use cases, especially when measurement devices and<br>
inversion codes change. Reproducibility may be further impeded by the use of<br>
commercial software such as MATLAB and Microsoft Excel.</p>
<p>To accelerate and concentrate scientific advancement and ensure reproducibility<br>
of processing workflows, a unified framework for geoelectrical data processing<br>
is required. Based on the free and platform-compatible programming language<br>
Python, we present a working prototype of such a unified interface and<br>
demonstrate its functionality and ease of use by means of classical processing<br>
workflow of geoelectrical time-lapse data (i.e., import, filtering, error<br>
estimation, visualization, data export). Encompassing all functionality is a<br>
journaling system which keeps track of all actions applied to the datasets,<br>
thereby making the processing testable and reproducible. The framework is<br>
designed to be as non-intrusive as possible, only to provide functionality<br>
without forcing the user to follow a specific processing workflow. A variety of<br>
importers and exporters is provided, so that the processing steps applied to<br>
the data set do not depend on the measurement device and the inversion code<br>
used thereafter.</p>
<p>We believe that the approach presented could foster exchange of best practices<br>
and new techniques among academic groups and practitioners, and that a common<br>
data import and export framework can ease the transition to fully reproducible<br>
research. We welcome any feedback that could help in establishing such a tool<br>
in the geoelectrical community.</p>
<p>The project is maintained on github: https://github.com/geophysics-ubonn/reda</p>
Poster presented at the 4th International Workshop on Geoelectrical Monitoring (GELMON) 2017 in Vienna
Zenodo
2017-11-24
info:eu-repo/semantics/conferencePoster
1067501
1579540640.220719
941451
md5:a5e10ea04e918fd0128a198fc3b49111
https://zenodo.org/records/1067502/files/weigand_and_wagner_gelmon_2017.pdf
public
10.5281/zenodo.1067501
isVersionOf
doi