Research project NFDI4Ing
National Research Data Infrastructure for Engineering Sciences
Large amounts of data are processed from different sources within research projects of energy systems analysis. The aim of the NFDI4Ing consortium is to develop a secure data management for engineering and science-related research. By applying the FAIR (Findable, Accessible, Interoperable, and Reusable) principles, the data shall be made available as open source and citable for the long-term.
Research project NFDI4Ing | |
|---|
Duration | October 2020 to September 2025 |
Funded by | German Research Foundation (DFG) |
Project participants | - RWTH Aachen University
- Institute of Networked Energy Systems
- German Aerospace Center
- Jülich Research Centre Karlsruhe Institute of Technology
- Leibniz University Hannover
- University of Stuttgart
- University of Braunschweig-Institute of Technology
- Technical University of Darmstadt
- TU Dresden
- Technical University of Munich
- Leibniz Information Centre for Science and Technology University Library
|
Thus far, data from energy system research projects have been collected and stored separately in each project. Those data incorporate temporally and spatially high-resolved time series of power generation of renewable energies and conventional power stations, load data, depictions of power grids as well as different voltage levels in varying granularity, cost, and different metadata. Usage of data by other projects either internally or externally has taken place only in individual cases so far. However, an increasing level of detail and higher temporal and spatial resolutions lead to a more complex data processing. Moreover, a future increase in model coupling of various sectors such as electricity, heat and transportation in energy system models is apparent. Therefore, the development of a secure and centralised energy data management is essential.
The project NFDI4Ing which consists of all research associations for engineering science in Germany defines and finds solutions for engineering-specific archetypes describing the implemented research methods and processes of the engineering sub-disciplines. In this context, NFDI4Ing focusses on three aspects: education in data literacy, development and testing of a governance concepts for research data handling as well as ensuring a broad availability of technologies and services for machine-readable data and metadata.
The Energy Systems Analysis Department of DLR has been supporting the development of methods for a barrier-free data usage within the energy system research for several years. Its initial focus within NDFI4Ing lies on the „Reusable“ and „Interoperability“ aspects of the FAIR principles. An integral part of reusable data („Reusable“) is the provenance with which, for instance, the origin and processing steps of data are being described. The software management tool guix will be examined for data provenance in the context of the energy system analysis. For this, different HPC systems are used to test the reproduction of scientific software stack out of provenance descriptions of a data set. This will allow testing the data set reuse. Moreover, data processing steps used in energy system analysis will be analysed in the context of („Interoperability“).
The Institute of Networked Energy Systems is committed to the arrangement of national working groups in the research network System Analysis of the Economic Affairs Ministry. Within those research groups, data portals are being created which comprise highly individualised and, therefore, yet non-harmonised access mechanisms.
Further Information on the Project NFDI4Ing:
