SoilPulse – Towards FAIR soil process data!

Soil processes are known to stretch over many scales – some processes, like erosion, are of particular interest due to their quick and complex characteristics with high impact. The analysis of soil erosion processes is challenging through heterogeneous field situations, involved spatio-temporal scales and by a reconfiguration of the system itself. Various experimental procedures and analytical methods were developed, which can analyze erosion processes. But because the procedures are driven by specific model assumptions which in effect also relate to a plethora of central state variables and parameters, the data of different groups are rarely compatible. Interoperability is hindered further through inhomogeneous data structures and a lack of metadata.

Within the NFDI4Earth pilot SoilPulse (soilpulse.github.io) we are developing an interactive metadata generator which shall assist researchers to make their soil process related data sets reusable by humans and machines. Instead of forcing the user to adhere to a defined metadata standard, the tool semi-automatically and interactively builds a translation procedure i) to map various existing data structures to a common scheme and ii) to feedback valuable but missing information to be provided by the researcher. While treating a dataset the researcher is aided by visualizations of the data in relation to other datasets which are already made machine readable through SoilPulse, allowing to easily discover non-plausible data and errors within the dataset. Once treated the dataset can be queried along with other datasets through a common interface and can be linked to erosion models through an API.

 

The PICO presentation demonstrates the functionality of the SoilPulse metadata generator prototype and invites attendees to apply it themselves on their data sets. As SoilPulse is in active development we highly appreciate comments, hints and impulses to further improve the tool!