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+---
+date: 2024-10-19
+title: DataPLANT launched dedicated page on the Annotated Research Context
+description: The Annotated Research Context (ARC) is a framework for organizing and documenting research data, as well as a container ...
+highlight: true
+---
+The Annotated Research Context (ARC) is a framework for organizing and documenting research data, as well 
+as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles 
+among various researchers. The ARC can be checked for completeness and quality at any time and converted 
+into a citable data publication without interrupting the research or documentation process. It is built on 
+widely accepted research data standards such as RO-Crate, ISA, and abstract CWL.
+
+DataPLANT seeks to embed Research Data Management (RDM) as a core component of the scientific community beyond its target audience
+fostering open development and governance models, embracing the "open-source open-data spirit", treating 
+well annotated research data as shared community resources. It partners with further NFDI consortia line 
+NFDI4BIOIMAGE and FAIRagro to promote the further development of the ARC to fit into broader application 
+beyond fundamental plant research. Thus, the RDM community dedicated web resource 
+[ARC-RDM.ORG](https://arc-rdm.org/) got lanched to explain concepts like the data management principle,
+tools and services, resources, the ARC data model, representation and (meta)data framework.
+
+ARC implements widely accepted RDM standards, ensuring compatibility with technology-specific endpoints, 
+domain-specific databases, search engines, and publication platforms with minimal extra effort. Its 
+practical approach blends efficient data organization and documentation, making it easier to publish 
+research data that can be transparently referenced in one or more accompanying journal publications. By 
+adopting the ARC, researchers can seamlessly engage with the evolving RDM ecosystem, without facing 
+barriers or limitations.
+
+The fundamental principle of ARC is to be FAIR by design. It promotes a continuous increase in FAIRness 
+through incremental updates and community contributions, making it an evolving system that can grow with 
+the needs of researchers. ARC’s collaborative nature, combined with its project management features and 
+extensive software support, fosters effective communication and distributed contributions within research 
+teams. This makes ARC not only a data management tool but also a powerful platform for collaborative research.
+
+To support the researchers to produce annotated research and connect to international research data management 
+activities including workflows and services, DataPLANT provides a tailored ensemble of personal and digital 
+technical assistance. DataPLANT Data Stewards are experts in supporting individual researchers in building, 
+linking and maintaining the complete research context during data acquisition, curation, analysis, and 
+publication. This is supported by providing comprehensive training to ensure data legacy through lectures, 
+courses, workshops and summer schools and hackathons.
+providing open training material