
RADAR, developed and operated by FIZ Karlsruhe, is a well-established research data repository supporting secure archiving, publication, and long-term preservation of data across disciplines. Since its launch in 2017, RADAR has continuously evolved to meet the growing demands of open science. It offers comprehensive metadata support, persistent identifiers, semantic enrichment (e. g. Schema.org, FAIR Signposting), discipline-specific terminologies via TS4NFDI, and integration with platforms such as GitHub, GitLab and WebDAV. Flexible deployment options (RADAR Cloud, RADAR Local) and tailored services (e.g. RADAR4Chem, RADAR4Culture, RADAR4Memory) ensure broad usability and community alignment. As part of our ongoing innovation efforts, we are currently exploring AI-driven enhancements that further support FAIR data practices. These include: AI-assisted metadata enrichment, enabling e. g. the automatic extraction of metadata like relevant keywords AI-assisted FAIRness checks, offering feedback and suggestions to improve the FAIRness of datasets. These developments aim to help researchers meet growing expectations for quality metadata and data stewardship while reducing manual effort.
Metadata, AI, LLM/SLM, Research Data Management, Terminology, RADAR, FAIR
Metadata, AI, LLM/SLM, Research Data Management, Terminology, RADAR, FAIR
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
