TUstorage is a document repository containing all kinds of research literature in different file formats. The documents include journal articles, e-books and conference proceedings, mainly in XML and PDF file format. Where available, image and supplementary information files are provided along with the XML versions. Documents under open access licences can be downloaded via an API without the need to register.
The NFDI4ING Terminology Service bundles and standardises access to existing terminologies and semantic models for research data management purposes. They form the basis for clear and meaningful communication between producers and users of research data for their subsequent use in innovative research. Clear communication is a basic prerequisite for innovative research, especially in areas such as the highly complex engineering sciences.
Alex’ Knowledge Base offers a clear and practical entry point into the work of the NFDI4ING task area addressing challenges connected to one-of-a-kind, highly-variable experiments. It not only showcases the developed tools and services but also provides helpful guides and workflow recommendations. It’s a useful starting point for researchers fitting the Archetype Alex looking for support in navigating their research data management tasks.
SM4RO-C is a specification that defines how to use SciMesh graphs in RO-Crates in order to describe the raw data files stored within the crate. It enables researchers to publish and/or share their research results in the richest way possible, i.e. raw data, intermediate data, and workflow graphs combined in one ZIP file.
SciMesh provides a specification and a reference implementation for a knowledge graph schema. It is supposed to represent scientific workflows and insights. While originating in experimental research of the engineering and material sciences, its basic principle is the connection of cause and effect, which can be applied to most empiric research. Its applications range from research publication over data exchange between electronic lab notebooks to timestamping of scientific work in blockchains.
Ellen’s RESODATE will be a service that enables the task- and problem-oriented search and discovery of research data artifacts. Based on formalized procedural information embedded in knowledge graphs, it utilizes relationships between research tasks and methods to organize research software and data according to their possible uses. It aims to support the integration of software and data into executable research workflows that can be used to cover individual information and data requirements.
The Research Data Management Organiser (RDMO) guides researchers through the planning, implementation and administration of all research data management tasks.
It offers structured questionnaires with detailed guidance, enabling efficient and comprehensive data management planning for research projects, ensuring compliance with funding requirements.
The NFDI4ING Q&A platform is here to empower researchers in the engineering sciences with a collaborative space to ask and answer questions about their research data management. Whether you’re a seasoned expert or just starting out, this platform is designed to foster knowledge exchange and support your research journey.
How can virtual environments be used in cooperative experimental work that involves a physical test rig? In an Alex experimental setup, we have developed a prototypical solution that includes provisioning and managing virtual machines and containers tailored to specific project needs. The environments use Conda and Pip for software development and unit testing, ensuring flexibility and scalability and allowing for more efficient analysis and streamlined workflows.
OTGroundTruther is a tool that can be used to carry out manual traffic counting at intersections based on video material. It is possible to capture traffic flows in detail and to distinguish between different road users. It enables the rapid counting of traffic flows if automated recording is not possible with sufficient certainty. In addition, this tool can be used to generate ground truth data for benchmarking the counting accuracy of automated systems.
