The next NFDI4Ing Community Meeting taking place in June will focus on ELLEN and her extensive & heterogeneous data requirements.
Scientists from all engineering communities were invited to learn about innovative tools and services that make it easier to find, use and develop research software and handle the associated data and metadata.
A new publication discusses possible future roles of Data Management Plans (DMPs), templates, and tools in the upcoming NFDI service architecture. This position paper summarises ideas developed and collected during interdisciplinary workshops of the Data Management Planning Working Group (infra-dmp), which is part of the section Common Infrastructures of the National Research Data Infrastructure (NFDI) in Germany.
Last year, we invited the engineering communities to topical community meetings, six in total. Starting with 2024, we switch from topical to “arche-topical” community meetings, representing the NFDI4Ing archetypes. We kick things off with BETTY, our archetype focused on engineering research software!
To fight the reproducibility crisis in science, the NFDI4Ing task area ALEX is developing PlotSerializer – a Python package for serializing scientific diagrams from popular libraries like matplotlib to json.
The NFDI4Ing Metadata Profile Service is a platform that facilitates creation, curation and sharing of metadata profiles. The profiles are based on the W3C recommendation SHACL and can be created in a graphical user interface by selecting suitable terms from existing ontologies.
Ideally, researchers can incorporate existing, established and tested research software into their own work. BETTY tries to help researchers in finding existing software suitable for their needs, developing new software, and publishing software artifacts in a sustainable and reproducible way.
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Text and data mining methods offer the potential to gain new insights from publications. The NFDI4Ing base service automated data and knowledge discovery in engineering literature is developing the legal and technical basis for making engineering literature accessible for this purpose.
Providing Research Data Management (RDM) support and education is a central goal of NFDI4Ing. That is why we are developing a learning platform for RDM with a special focus on engineering sciences. The challenge is to design it subject-specific and attractive for motivated, self-paced learning. To meet this requirement, we need your input!
