Kadi4Mat is a generic and open source virtual research environment, which can be hosted as a web-based service. The instances hosted at KIT can be leveraged to enhance (meta)data management and integration in the engineering community working in academia, research institutions, or industry.
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.
A python-written metadata crawler that allows to automatically retrieve relevant research metadata from script-based workflows on HPC systems. The tool offers a flexible approach to metadata collection, as the metadata scheme can be read out from an ontology file. Through minimal user input, the crawler can be adapted to the user’s needs and easily implemented within the workflow, enabling to retrieve relevant metadata.
The Field Database Platform (FDP) prioritizes the accessibility and reusability of data, allowing researchers to interact with field datasets more effectively. By providing tools for data exploration and previewing based on operational and environmental parameters, FDP ensures users are guided in finding relevant datasets, avoiding irrelevant or redundant information. This platform enhances data reusability and promotes FAIR principles, significantly improving the research experience compared to traditional data platforms.
DataDesc is a framework that allows describing data models of software interfaces with machine-actionable metadata. The framework provides a specialized metadata schema, an exchange format and support tools for the easy collection and automated publishing of software documentation. DataDesc practically increases the FAIRness, i.e., findability, accessibility, interoperability, and the reusability of research software, as well as effectively promotes its impact on research.
The Data Collections Explorer is an information system for the engineering community. It facilitates sharing of and searching for discipline specific repositories, archives, and databases, as well as for datasets published individually by research groups. Scientists can get a quick overview of the most important facts about services and datasets, such as access rights or usage restrictions. A SPARQL endpoint ensures programmatic access for integration with third-party services.
Betty’s (Re) Search Engine aims to solve the issue of finding research software. The engine searches for software repositories that match a given search string and then tries to find corresponding publications as well as all available metadata. This enables users to sort the repositories based on the number of citations, apply various filters and it also directly provides an impression about the research contexts in which a software has been successfully applied.
