Join the ReproPsy & e-ReproNim Fellowship Programmes!

Are you passionate about robust, rigorous, and transparent research practices in Psychology and/or Neuroscience? Do you want up to €1,000 to fund training to enhance your skills in software and data management? Do you want to join a vibrant community of practice? Look no further!

We are thrilled to announce the first edition of two Fellowship programmes, ReproPsy and e-ReproNim. These are unique opportunities to become part of a vibrant community dedicated to advancing open and robust data practices in Psychological and Neuroscientific research.

By becoming a ReproPsy Fellow, you will join a network of like-minded researchers dedicated to advancing data practices in Psychology and Neuroscience. Our programmes offer more than just financial support—it provides a platform for collaboration, knowledge sharing, and professional growth.

The projects are led by Dr Jim Grange (Keele University, UK) and Dr Etienne Roesch (University of Reading, UK). They are part of the repro.school collective, and funded by the Research Data Alliance (RDA), in collaboration with the European Open Science Cloud (EOSC Future), and the UK Reproducibility Network’s Open Research Programme

The RDA aims to develop and adopt infrastructure that promotes data-sharing and data-driven research, thereby grounding the fellowship programmes in networks of data specialists.

The UK Reproducibility Network is a grassroot movement, created organically by researchers in the UK in 2019, in response to the so-called reproducibility crisis. It now gathers active representatives of 70 research-intensive Universities in the UK and lead major projects. Other national Reproducibility Networks exist; there might be one closer to you? If not, contact us and we’ll help you set up.

Open Data in Psychology & Neuroimaging
In a context where results of research are questioned, open data is transforming the landscape of our practices, enabling collaboration, reproducibility, and innovation. As Psychology & Neuroscience embraces this paradigm shift, we aim to equip researchers like you with the necessary skills and resources to adopt and adapt your data practices, ensuring greater impact and scientific progress, and helping you help your community.

Project overview
The mission of the Fellowship programme is to empower communities to excel in open data practices. In each programme we are offering 15 fellowships (5 for UK applicants), each worth up to €1,000, to support early career researchers (ECRs) from both EU and UK institutions. ECRs typically donate their time to upskill and transmit this new knowledge to their local communities. We expect the funding awarded to be directed towards helping you create opportunities for learning and teaching, helping you fund your own projects in this remit, your own software and data management training, and organise bespoke training sessions at your home institution. The funding could for instance be used to organise training from the Carpentries (http://carpentries.org) or similar venues; or, should your local policies on workload allocation permit, you could use the funding to offset time commitment towards such training, in agreement with your line manager.

What we ask of you in return is a commitment to participate in the online events organised (at least once a month) and in the projects that may arise, such as scoping and designing training needs, contributing to writing training material, and other projects that you may bring to the table!

More information about the programmes and to access the application form, please visit https://repro.school/2023/05/31/join-the-repropsy-e-repronim-fellowship-programmes/

Application Process
Applying for our Open Data Fellowship Program is simple! The link to the application form is at the bottom, but here's a brief outline of what you will need to consider before applying:


Please also note:


Application Form: https://bit.ly/repro-school-fellowships
Deadline: 11/07/2023 midnight anywhere in the world.


dr. Etienne B. Roesch   |   Associate Professor of Cognitive Science   |   Univ. Reading 
Institutional Lead for Open and Reproducible Research, UK Reproducibility Network
Discipline Hopping Fellow, Natural Environment Research Council

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research:  
project-chai.org   |   crowd-charge.com   |   cocoon-project.eu   |   rescience   |   ukrn