metadata4ing
20.04.2026
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Metadata4ING allows to describe research processes and their results in a semantic and machine actionable way.
Metadata4ING allows to describe research processes and their results in a semantic and machine actionable way.
The HeFDI Code School offers a hands-on introduction to essential digital research skills, with a focus on Python programming and Jupyter Notebooks.
A review of our contribution to the workshop “Datafizierte Welten: Kritische Untersuchungen zu Datenpraktiken in der Architektur”.
NFDI4ING participated in the IDOVIR workshop on source classification bringing together experts from the fields of archaeology, building research, historic preservation, art history and computer sciences.
NFDI4ING contributed to the FAIR4Instruments Workshop hosted by the TDCC-NES on February 12–13, 2026, in Utrecht.
Research engineers often face a flood of heterogeneous data. A recent use case demonstrates how the Open Research Knowledge Graph (ORKG) helps transform 25 complex energy studies into a single, transparent, and machine-actionable resource.
NFDI4ING’s Metadata Profile Service assists the community in creating and sharing subject-specific metadata profiles that support FAIR and interoperable research data.
The NHR4CES workshop on “Machine Learning in Combustion” provided a welcome use case for NFDI4ING’s Jupyter Service.
The data search index provides a central point of access for searching for research data across numerous distributed repositories.
We’re looking forward to taking part in the upcoming 3rd annual conference of our sister consortium NFDI4Energy, held on 24–25 March 2026 in Aachen, Germany. NFDI4ING will be presenting results of collaborative work in NFDI4ING and NFDI4Energy.