Quality Decisions for Earth Science Data
Problem
In the analysis of geochemical data, ensuring data quality is essential. Samples copntaminated by detritus may lead to erroneous analysis results and need to be identified. At the moment, performing data cleaning requires repetitive manual work, wasting time and effort. Automating data cleaning tasks would free scientists from this manual effort, leading to better data quality and more eficient research.
Goal
QuARUm aims to develop a low-code platform for geoscientists that allows for a simple, user-friendly for crearing automated custom build quality assessments of measured data and literature data.
Open Positions
We are currently looking for a student who wants to support the QuARUm project:
Funding
The QuARUm project is conducted in collaboration with Constructor University and is funded by the Federal Ministry of Education and Research (BMBF) and the Europian Union, grant 16DKWN124B.