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RDMO is a software that assists in planning the data management for your research project. In NFDI4Ing, we adapted and complemented the Open Source software to better support the specific needs of researchers working in the engineering sciences. The service
In NFDI4Ing, various services and solutions are being developed to improve and simplify (research) data management in engineering. To bring these solutions into practice and validate them based on the subject-specific requirements of researchers, NFDI4Ing regularly organizes Community Meetings. Researchers,
You are interested in (research) data management, its current and future challenges, and topics like terminologies, metadata, ontologies, data repositories? Then join us on the NFDI4Ing conference on Wednesday and Thursday, October 26 and 27, 2022!
NFDI4Ing is running a community survey on the state of research data management (RDM) in the engineering sciences. One of the goals of the survey is to tailor the consortium's services precisely to the needs of engineers. To obtain a
Analysing large collections of documents using text-and-data-mining methods can yield entirely new scientific insights. In the NFDI4Ing task area Automated data and knowledge discovery in engineering literature (S-7), services are developed to enable researchers to more easily apply these innovative
In NFDI4Ing, we develop engineering-specific RDM trainings and educational material and make them publicly available. Learn more about the formats, contents, and our platform.
Field experiments are characterized by environmental conditions that cannot be fully controlled by the experimenter. Examples for field experiments include testing driver assistance systems in traffic, submarine robots in open water, or monitoring traffic in cities. Task Area GOLO is
NFDI4Ing is yielding results, and these and the documentation of our work want to be organized. But what can FAIR data management look like for research data management work? Maybe like this.
The transformation of energy systems is one of the greatest challenges of the 21st century. We have created a machine-readable comparison of greenhouse gas reduction scenarios for Germany, comparing different studies for a future low-carbon energy system.
The NFDI4Ing measure metadata and terminology services is entering its next phase of development.