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.
The MetadataHub enables easy access to multiple repositories via a uniform interface. Metadata documents can be created, updated, read, deleted, listed and searched for. Currently AIMS, Coscine and MetaStore are supported via their REST interfaces. New repositories could be easily added by adding a specific mapping to the MetadataHub service.
Are you an engineer in a project to (re-)program scientific code? Or are you a student in a likewise project? Or maybe you are a project/data manager looking for some inspiration and advice? Then this Knowledge Base might be just for you!
We cover multiple topics regarding the development of scientific software, e.g. Version Control and Continuous Integration.
The software ecosystem of Kadi4Mat includes different tools and libraries that are built around and on top of Kadi4Mat, the generic and open source virtual research environment.
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.
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.
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.
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.
