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    Month: October 2021

    MONTHLY ROUND-UP: October 2021

    October’s round-up from 4TU.ResearchData is jam-packed with events, events and more events! This month we’re sharing a re-cap of our community call and welcoming new community members… News…

    Connie Clare October 30, 2021
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    Community call: Managing Health and Technology Research Data

    On Tuesday 26th October we hosted a community call on ‘Managing Health and Technology Research Data‘. The one-hour long event brought participants together from various…

    Connie Clare October 27, 2021
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    Share, Inspire, Impact – Supporting software, data and computational needs for research at TU Delft.

    The DCC Showcase Event On Tuesday, 12 October 2021, the TU Delft Digital Competence Centre hosted the showcase event Share, Inspire, Impact – Supporting software,…

    Deirdre Casella October 26, 2021
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    How to Manage Data: Data Stewardship and FAIR Skills

    This post has been originally published on Prof. Laurent Gatto’s blog. In this interactive talk at the Hong Kong University of Science and Technology Research Data…

    Marta Teperek October 26, 2021
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    Data Horror Week: Get involved!

    In October, several Dutch universities organize the Data Horror Week.  Halloween is a good time to enjoy horror stories, Data Conversations and an online Escape Room. Take…

    Connie Clare October 14, 2021
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    4TU.ResearchData Community Call | Managing health and technology research data

    4TU.ResearchData would like to invite you to attend our second Community Call! About this event 4TU.ResearchData would like to invite you to attend our second community…

    Connie Clare October 5, 2021
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    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).

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