The presentation will provide insight into the current development of a Qfield project at the Leibniz Centre for Tropical Marine Research (ZMT). Research at ZMT is transdisciplinary and is conducted in remote tropical areas. A standardized tool for data collection in a key area like groundwater measurement can support improving quality control of sampled data and ensuring the application of metadata standards at the data acquisition stage anywhere.
The technical setup and key content features of the project will be explained, including the use of layers managed in QGIS, layer properties, dependencies, and settings for data input in the Qfield app. The project incorporates predefined parameter sets that adhere to field-specific data standards and units.
This Qfield workflow minimizes data loss by prompting required measurements at each site and maintaining version control through QfieldCloud. It enhances data accuracy, quality, and facilitates seamless data transfer, allowing researchers to collect, edit, and synchronize data directly from the field while ensuring up-to-date datasets across collaborators.
The final goal is to offer a ready-to-use Qfield project, published on GitHub in a zipped QGIS format with necessary layers, settings, and documentation, following multiple testing phases in various locations. The GitHub publication will provide an easily and freely downloadable and ready-to-use product for own groundwater measurement documentation. This standardized tool aims to improve data reliability and comparability in groundwater and coastal hydrology research, making it accessible to the scientific community in these fields.