Sprecher
Beschreibung
BEXIS2 (https://bexis2.uni-jena.de) is a flexible research data management platform designed to support heterogeneous scientific domains with diverse requirements for metadata, data handling, and publication workflows. Unlike domain-specific repositories with fixed metadata schemas, BEXIS2 enables both the simultaneous use of multiple metadata schemas and user-defined metadata schemas that can be adapted to disciplinary standards and project-specific needs.
Different research communities require distinct approaches to editing, validating, exporting, and publishing metadata and data. BEXIS2 addresses this diversity by supporting dynamic metadata structures and, more recently, by allowing metadata values to be selected or linked from external terminologies and controlled vocabularies rather than relying on static predefined lists. In combination with a metadata mapping system, this enables interoperability with established standards and infrastructures such as DataCite for DOI minting, GBIF using Darwin Core Archives, and Bioschemas for web-based discovery. In addition, the platform supports versioning of both data and metadata, ensuring traceability and reproducibility.
A core challenge of this approach is the absence of a single or fixed set of metadata schemas. We present how BEXIS2 currently addresses these challenges and outline planned developments, including improved metadata mapping, terminology integration, and export mechanisms. The ongoing development of BEXIS2 is driven by close collaboration between the BEXIS2 developer team, data managers, and curators to ensure that user needs are effectively met.