Research Data Management
Earth System Sciences (ESS) are increasingly in the focus of the wider public, addressing crucial global challenges such as land-use change or environmental pollution. Data from many disciplines have to be integrated to enable a holistic problem analysis and to develop novel scientific approaches to tackle ESS problems. Thus, collaborative research data management (RDM) facilitates linking data, methods and tools across disciplines as needed.
Documentations
Most of our documentations, guidelines, papers and presentations are published on Zenodo.
Within the GeoKur Project, we investigated in summarizing relevant ESS research data infrastructures and management tools and their characteristics:
- Overview of Research Data Infrastructures and Repos
- Overview of Research Data Management Tools (focussing on Open Source Tools)
We further developed a GeoKur metadata profile focusing on provenance and data quality and a related guidance document on how to develop a metadata profile:
- GeoKur Metadata Profile for Geospatial Dataset based on GeoDCAT
- Recommendations for Developing a Metadata Profile for Earth System Science Data
Implementations
The metadata profile is implemented in our data management system and available as opensource:
- GeoKur Data Management System based on CKAN
- GeoKur Profile Souce Code on GitHub
- GeoKur Style Code for CKAN on GitHub
Further, we provide some useful metadata tools, like:
- MetadataFromGeodata - A Quality Extraction Tool (Short Paper, Presentation)
- CS2ISOXML - A Converter using Metadata CSV Files as Inputs to generate ISO XML
- Several Converting and Generating Tools for Provenance Information
