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    • About your Data
      • Getting started
      • Manage & Share
      • Publish & Cite
      • Find & Re-use
      • Scientific Visualisation
      • NetCDF & OPeNDAP
      • CODECHECK
    • About 4TU.RESEARCHDATA
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      • Collaborations
      • Policies & Guidelines
      • Team & Contact
      • Frequently Asked Questions
    • About our Community
      • Join our community
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    • About training
      • Training
      • Introduction to version control with Git
      • Introduction to programming in research with Python
      • Efficient Research Workflows with the UNIX Shell
    • News & Resources
      • Latest news
      • Events
      • Highlights
      • 4TU.ResearchData use cases
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    FAIR DATA Fund use case: BioBrAIn – a database of bioreactors 

    Authors: Héctor Maldonado de León, Victor Puig I Laborda, Mahdi Naderibeni and Cees Haringa   Brief description of the project  Despite recent advances, Computational Fluid Dynamics…

    Cécile van Heukelom November 20, 2025

    New Essentials 4 Data Support course: February-March 2026

    The Essentials 4 Data Support course provides an introductory-level overview for data professionals and those who assist researchers with storing, managing, archiving and sharing their research data.  The course comprises two…

    Iulia Popescu November 19, 2025

    Building Digital Skills Training Capacity in the Netherlands NES Domain — A Call to action

    Across the natural and engineering sciences (NES), researchers increasingly rely on digital methods — from data analysis and visualization to code-based modelling and reproducible workflows.…

    Cécile van Heukelom November 14, 2025

    4TU.ResearchData is again awarded the CoreTrustSeal 

    We are pleased to announce that the 4TU.ResearchData repository has once again been certified as a trustworthy data repository by CoreTrustSeal standards.  CoreTrustSeal is an…

    Cécile van Heukelom November 7, 2025

    FAIR DATA Fund use case

    The NERVE project: a neuromorphic radar and vision ensemble dataset for distance sensing and people detection Authors: Amirreza Yousefzadeh (FAIR Data Fund grantee, University of…

    Cécile van Heukelom November 6, 2025

    FAIR DATA Fund use case: Fatigue running data in- and out of the lab

    Authors: Frank J Wouda (FAIR Data Fund grantee, University of Twente), Robbert P. van Middelaar, Corné Dijkstra. Brief description of the project In the field…

    Iulia Popescu November 5, 2025

    FAIR DATA Fund use case: Catalyzing plant natural product discovery with a community-driven knowledge base

    Authors: Elena Del Pup (4th edition FAIR Data Fund grantee); Justin J. J. van der Hooft, Marnix H. Medema; Wageningen University & Research. Editor: Iulia…

    Iulia Popescu November 4, 2025

    Calling for Beta Pilot Workshops: Geospatial Data Carpentry for Urbanism

    Since 2023, researchers from TU Delft’s Department of Urbanism and the Digital Competence Centre have developed a new curriculum, Geospatial Data Carpentry for Urbanism, currently…

    Cécile van Heukelom October 22, 2025

    First RDNL Stakeholder Forum

    On 30 September 2025, Research Data Netherlands (RDNL) hosted its first Stakeholder Forum, at the seat of The Royal Netherlands Academy of Arts and Sciences…

    Iulia Popescu October 21, 2025

    Roadshow event at TU/e: Why does code reproducibility matter and how to achieve it?

    When: 4 November, 12:30-14:00Where: TU/e campus This 1,5hrs session explores the importance of reproducibility in research and how 4TU.ResearchData supports researchers in making their work…

    Cécile van Heukelom October 13, 2025
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    About 4TU.ResearchData

    https://www.youtube.com/watch?v=DdjDSmhOa64&t=22s
    4TU Delft4TU Eindhoven4TU Twente4TU Wageningen

    About 4TU.ResearchData

    4TU.ResearchData is an international data repository for science, engineering and design. We offer research dataset curation, sharing, long-term access and preservation services to anyone, anywhere.

    Our training and community engagement resources are available to research and research-support professionals working to make their research data findable, accessible, interoperable and reproducible (FAIR).

    We are a 4TU.Federation institute.


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