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Monthly round-up: March 2022

We’re ‘March-ing’ into spring with a light edition of our round-up from 4TU.ResearchData
Important news… We’re hiring!

Welcome to new community members

We’re recruiting!

Join 4TU.ResearchData as the new community manager

We’re seeking an enthusiastic community manager to lead and grow our vibrant community of data supporters and researchers. If you’re interested in building discipline-specific communities and stimulating cross-institutional collaborations for the use and reuse of research data, this position is for you! 

Apply by 11th April 
Join TU Delft & 4TU.ResearchData as the trainer for research data management & digital skills
Our new trainer will have the opportunity to organise, develop and provide training courses for PhD candidates and researchers. They will also lead 4TU.ResearchData’s training engagement as part of its collaboration with Research Data Netherlands (RDNL).
Apply by 11th April 

Saying goodbye to our community manager 

The time has come to say ‘goodbye and congratulations’ to Connie Clare  
“It has been an utmost pleasure to build, work with and learn from the 4TU.ResearchData community… Whilst I’m sad to leave, I’m excited to join RDA as the Community Development Manager from August this year.” – Connie Clare

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FAIR Data Fund Spring Call 2022 is still open!

There’s still time to apply for the FAIR Data Fund

A maximum budget of €3.500 is available to researchers at TU Delft, TU Eindhoven and the University of Twente to cover the costs of making their research Findable, Accessible, Interoperable and Reusable (The FAIR Data Principles). 

Applications open on Tuesday 1st March and close on Thursday 31st March 2022Read more or contact for more information.

Celebrating the Earth & Environmental Sciences

FAIR data on species distribution modelling from the University of Twente 
4TU.ResearchData met with FAIR Data Fund grantees from the Spring call 2021, Thomas Groen and Nivedita Varma Harisena, to talk about their published dataset: 

When is variable importance estimation in species distribution modelling affected by spatial correlation?

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Sharing large hydrology simulation datasets effectively 
We heard from researcher, Giordano Lipari, about his 735GB large data collection, High-resolution SPH simulations of a 2D dam-break flow against a vertical wall, which comprises 1650 data files from high-resolution simulations of fluid flows.

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See you soon!

We’re taking a short break from sending our monthly round-up. We’ll be back sharing news, events and updates from the 4TU.ResearchData community again soon. For questions about this round-up, please contact  

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