RADAR: Enhancing FAIR Research Data Management with AI Support
Year: 2025
Type: article
Abstract: 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.
Authors: Hofmann, Stefan, Soltau, Kerstin, Bach, Felix
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7084765192