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.
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.
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.
The Open Research Knowledge Graph (ORKG) helps researchers find, compare, and reuse scientific findings efficiently. User can organize research contributions semantically so that both humans and machines can easily understand and use them. With ORKG, you can explore knowledge across various disciplines, stay updated, and collaborate on new research. Additionally, ORKG enhances the visibility of research outputs, facilitating better discovery and innovation in the scientific community.
To evaluate the implementation of research data management, maturity models are provided for individual phases, which researchers can use for self-evaluation. The models are aimed at a standardised and optimised implementation of RDM in engineering research projects.
MetaStore is a research data repository for storing metadata documents and schemas for researchers. Quality and consistency are ensured by associating and validating each (metadata) document against a schema registered in beforehand in the MetaStore. XML and JSON are supported as possible schemas.
Jarves provides guidance in RDM by ordering the RDM activities based on their occurrence in the engineering research process. Taking into account the specific RDM requirements of a research project, e.g. requirements of funding organisations or institutional boundaries, a decision support system provides information on the next steps and available tools. Alongside, matching trainings for the current step are provided. Furthermore, Jarves offers a broad connectivity to other services, allowing for seamless (meta)data exchange.
Ing.grid is a scholarly-led diamond open access journal for FAIR data management in engineering sciences. It uses an open peer review process and accepts data and software submissions in addition to regular manuscripts.
GitLab is an open-source-software to host and manage own Git-repositories. Besides the main task of the code-management other functions like a simple issue-tracking-system, a wiki and also an option to review codes are covered. With this GitLab supports the developer, who increase the quality of the developed program codes.
