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We are once again looking for researchers in the engineering sciences to share with us their experiences and needs for handling research data.
We incorporated comments and feedback from the NFDI4ING community into this updated version to better support data management planning and make use of new features in RDMO.
The latest release of the Metadata4Ing (m4i) ontology facilitates the usage within RO-Crates and the modelling of physical quantities and data sets. The ontology can be used to document engineering research processes in a machine-readable way.
We are pleased to announce the first stable 1.0 release of the open source virtual research environment Kadi4Mat. This version marks the culmination of several years of work and improvements since the initial release of Kadi4Mat and also includes the first stable version of its application programming interface.
This year’s joint Community Meeting of Alex and Doris focused on the topic “Best Practices of RDM in Thermal and Process Engineering”.
NFDI4Ing’s Special Interest Groups (SIGs) are the place for exchange between NFDI4Ing and interested experts from the community. In the SIG “RDM Training”, we work together on reviewing and improving RDM trainings.
By utilizing large language models to provide an automated method for extracting knowledge from a vast amount of literature and integrating it with the research data management platform, users will be offered more intelligent data management and analysis methods.
GOLO’s Field Database Platform (FDP) redefines field data management with digital twin technology. It offers real-time visualization, interactive analysis, and efficient filtering, turning complex sensor data into actionable insights and enhancing research efficiency.
The transparent and sustainable scientific exchange of methods, results and findings along the FAIR principles is one of the greatest challenges facing science today. To show how these challenges can be met with innovative technologies, the most recent NFDI4Ing Community Meeting presenting the work of our archetype ELLEN took place on June 6th.
NFDI4Ing provides infrastructure, best practices and templates to make research software and its development more replicable and reproducible while improving the quality of the written code. For the further improvement of the our RDM knowledge base and our JupyterHub prototype, we are looking for your collaboration and input!
For the quality assurance of research data management, NFDI4Ing has developed maturity models that enable researchers to assess the implementation of data management in their research projects.
With our benchmark suite we investigated object storages. Based on the results, we compiled usage guidelines to improve transfer speeds and continuously monitor connection quality.
JARVES launched its alpha phase during the 112th Bibliocon in Hamburg. Meanwhile, the underlying research process is published as a paper in ing.grid. Read more on JARVES, your digital data steward!
In his recently published doctoral thesis, Nico Brandt analyses various use cases from the engineering sciences and discusses the development of a suitable research data infrastructure.
In its last meeting on April 12th, the NFDI Consortia Assembly approved three further basic service initiatives NFDI4Ing is heavily involved in: DMP4NFDI, Jupyter4NFDI, KGI4NFDI.
You want to share High-Performance Computing (HPC) data with a colleague who doesn’t have access to German HPC facilities? You want to analyze and visualize data without downloading or transferring it? Then please try out the new NFDI4Ing-service MARGE – the Multi-Access Research Gateway for HPC Experts.
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.
NFDI4Ing and NFDI4Chem signed a memorandum of understanding to expand their existing cooperation in the area of data management plans.
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.