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The AgroServ "Knowledge Hub"

 

Research data management (RDM) is one of the most crucial aspects of AgroServ, ensuring that research data is managed effectively and, by design, aligns with FAIR principles (Findable, Accessible, Interoperable, and Reusable). 

For this purpose, the AgroServ RDM Knowledge Hub serves as a gateway for AgroServ project members, project applicants, and the broader scientific community. It provides resources related to the management of Research Data and other research outputs across multiple scientific domains, including those related to agro-ecological transition.

Collaboration is at the heart of the Knowledge Hub. Project members and applicants are encouraged to contribute their expertise, enriching the collective knowledge base. Stakeholders can actively participate in shaping guidelines and standards for research data management, sharing practical insights from real-world experiences. By engaging with the Knowledge Hub, stakeholders strengthen the ecosystem of research data management.

Remember, effective RDM contributes to robust research outcomes and supports sustainable agricultural practices!


Key components of the Knowledge Hub include: 
·    FAIRsharing: A platform for sharing and discovering standards, databases, and policies related to research data.
·    FAIR Cookbook: A guide to achieving FAIR data principles and open science standards.
·    RDMkit: A dynamic resource offering best practices, guidelines, and tools for RDM.
 

 

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FIND OUT MORE

FAIR SHARING
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FIND OUT MORE

FAIR COOKBOOK
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FIND OUT MORE

RDMkit

 

Shared knowledge
Data management
Participation

AgroServ Transnational Access (TNA) users should seek for Research Data Management guidance using the RDMkit Domain pages, a one stop portal that leads to relevant tool assemblies (e.g. Plant Phenomics, Plant Genomics) as well as FAIRCookBook recipes.  

The initial domain pages are listed below, with more available at RDMKit & FAIRSharing:

–  Plant Sciences - when dealing with plant phenomics, genomics and genetics
–  Bioimaging Data
–  Marine Metagenomics 
–  Microbiology

 

Learn more about AgroServ's Ethics and Data Management policy at this link.

 

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This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No. 101058020 (AgroServ). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.