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

SUMMARY In modern reproducible, hypothesis‐driven plant research, scientists are increasingly relying on research data management (RDM) services and infrastructures to streamline the processes of collecting, processing, sharing, and archiving research data. FAIR (i.e., findable, accessible, interope...

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Published in:The Plant journal : for cell and molecular biology 2023-11, Vol.116 (4), p.974-988
Main Authors: Weil, Heinrich Lukas, Schneider, Kevin, Tschöpe, Marcel, Bauer, Jonathan, Maus, Oliver, Frey, Kevin, Brilhaus, Dominik, Martins Rodrigues, Cristina, Doniparthi, Gajendra, Wetzels, Florian, Lukasczyk, Jonas, Kranz, Angela, Grüning, Björn, Zimmer, David, Deßloch, Stefan, von Suchodoletz, Dirk, Usadel, Björn, Garth, Christoph, Mühlhaus, Timo
Format: Article
Language:English
Subjects:
Accessibility
Collaboration
Data management
Plant sciences
Quality control
Research data management
Scientists
Software development
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Summary:SUMMARY In modern reproducible, hypothesis‐driven plant research, scientists are increasingly relying on research data management (RDM) services and infrastructures to streamline the processes of collecting, processing, sharing, and archiving research data. FAIR (i.e., findable, accessible, interoperable, and reusable) research data play a pivotal role in enabling the integration of interdisciplinary knowledge and facilitating the comparison and synthesis of a wide range of analytical findings. The PLANTdataHUB offers a solution that realizes RDM of scientific (meta)data as evolving collections of files in a directory – yielding FAIR digital objects called ARCs – with tools that enable scientists to plan, communicate, collaborate, publish, and reuse data on the same platform while gaining continuous quality control insights. The centralized platform is scalable from personal use to global communities and provides advanced federation capabilities for institutions that prefer to host their own satellite instances. This approach borrows many concepts from software development and adapts them to fit the challenges of the field of modern plant science undergoing digital transformation. The PLANTdataHUB supports researchers in each stage of a scientific project with adaptable continuous quality control insights, from the early planning phase to data publication. The central live instance of PLANTdataHUB is accessible at ( https://git.nfdi4plants.org ), and it will continue to evolve as a community‐driven and dynamic resource that serves the needs of contemporary plant science. Significance Statement PLANTdataHUB fills a gap in the RDM ecosystem for plant research by providing (a) a resource for plant researchers to collaboratively conduct FAIR‐by‐design research, (b) a blueprint for custom infrastructures, with federation ability, and (c) a practical contribution to the discussion about best practices, standards, and tooling in FAIR plant research. In contrast to other similar resources, PLANTdataHUB embraces decentralization and seeks to leverage similarities to open‐source software development and best practices identified there.
ISSN:0960-7412
1365-313X
DOI:10.1111/tpj.16474