PLANTdataHUB: a collaborative platform for continuous FAIR data sharing in plant research.

Area of Science:

• Plant Science
• Bioinformatics
• Digital Agriculture

Background:

• Modern plant research increasingly relies on robust research data management (RDM) services.
• Ensuring research data is findable, accessible, interoperable, and reusable (FAIR) is crucial for interdisciplinary knowledge integration and synthesis of findings.

Purpose of the Study:

• To introduce PLANTdataHUB, a novel RDM solution for plant science.
• To provide a platform for planning, collaboration, data sharing, and publication of FAIR digital objects.

Main Methods:

• PLANTdataHUB manages scientific (meta)data as evolving file collections, creating FAIR digital objects called ARCs.
• The platform offers tools for continuous quality control insights throughout the scientific project lifecycle.
• It employs concepts from software development adapted for plant science's digital transformation.

Main Results:

• PLANTdataHUB provides a centralized, scalable platform supporting RDM from personal use to global communities.
• It enables scientists to plan, communicate, collaborate, publish, and reuse data efficiently.
• Federation capabilities allow institutions to host their own satellite instances.

Conclusions:

• PLANTdataHUB supports researchers at all project stages, from planning to data publication, with continuous quality control.
• The platform serves as a community-driven resource for contemporary plant science, accessible at https://git.nfdi4plants.org.