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* Join the ReproPsy & e-ReproNim Fellowship Programmes!
@ 2023-06-09 16:35 Etienne B. Roesch
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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 <https://repro.school/>? 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 <https://jimgrange.github.io/> (Keele University, UK) and Dr Etienne Roesch <https://etienneroes.ch/> (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 <https://www.ukrn.org/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.
ReproPsy is part of the RDA Psychology Data Interest Group <https://www.rd-alliance.org/groups/psychological-data-ig>;
e-ReproNim is part of the RDA Neuroimaging Data Working Group <https://www.rd-alliance.org/groups/neuroimaging-data-wg>, and the European sister project to the North American repronim.org <https://www.repronim.org/>.

The UK Reproducibility Network <http://ukrn.org/> 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 <https://www.ukrn.org/international-networks/>? 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 <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:

Field(s) of research (Up to 1000 char with spaces): What you do.
Training Needs (Up to 2000 char with spaces): In your application, highlight the training needs for yourself and your local research community. How can open data practices benefit your institution and Psychology as a whole?
Training Plan (Up to 2000 char with spaces): Describe the aim, motivation, and relevant prior experience related to the training you envision. How will this training empower your research and contribute to the open data movement?
Scope of Impact (Up to 2000 char with spaces): Outline the scope of your local community that would benefit from the training. Show us how this initiative can create a ripple effect, benefiting multiple researchers at your institution.
Special circumstances (Up to 2000 char with spaces): This is a gather-it-all section that allows you to bring anything you think might be relevant to the evaluators. Use this category to describe aspects related to equity, diversity and inclusion we ought to know about.
Justification of resources (Up to 5000 char with spaces): Provide itemised costs (including tax if applicable) describing how you plan to use the funding allocated in the Fellowship. Each Fellow can request up to €1,000.
Host Institution Support (signed pdf with letterhead): Upload a letter of support from your host institution, as a PDF file, signed by your line manager, confirming their commitment to supporting your training and supporting you to organise training in your community. This could involve allocating time, which must be clearly stated (in number of hours estimated), or providing you with other necessary resources. Files must be uploaded onto the public dropbox link provided in the application form. You will be asked for your name, and your email address; we only need your name to link your file to your application, and the email address does not have to be real. Any issue with uploading a file, please email e.b.roesch@reading.ac.uk. 

Please also note:
The maximum number of characters allowed are not targets to be met. Be as concise as needed.
We are committed to supporting typically under-represented communities, and will apply a process of positive action towards supporting equity, diversity and inclusion. Specifically, after applications are graded by our evaluators and ranked, we will assert the landscape of the selection and adjust the selection if needed. Please use the Special Circumstances box to raise to the attention of the evaluators anything you think may deserve consideration.
The ReproPsy and e-ReproNim Fellowship programmes are separate projects, yet have lots in common–starting with the application form! We thus regret to say that we will not accept applications to both programmes, and you must specify one or the other on the application form.
Funding is only available to applicants from institutions hosted in the EU and the UK. Because of the structure of the funding allocation, we are reserving 5 fellowships to UK applicants in each of the fellowship programmes, 10 out of 30 in total.
Information related to the transfer of the award will be shared with successful applicants after selection. Fellows will be required to have identified who at their host institution will be managing this financial transaction: typically a post-award or a finance office.
Applications are managed using Google Forms, and PDF uploads with Dropbox. Neither of these platforms require you to create an account on Google or Dropbox. We collect your name and email addresses on the Google Form to identify your applications. This information is not shared with anyone, and only used for general statistics and logistics of the selection process. If you wish to be kept in the loop of what we do, please register to the Psychology Data Interest Group <https://www.rd-alliance.org/groups/psychological-data-ig> and Neuroimaging Data Working Group <https://www.rd-alliance.org/groups/neuroimaging-data-wg>, with the Research Data Alliance. Alternatively, you can also visit our website <https://repro.school/>.


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

student hours:    <>book yourself in my University Outlook calendar <https://outlook.office365.com/owa/calendar/MeetwithDrEtienneRoesch@livereadingac.onmicrosoft.com/bookings/>
www:  etienneroes.ch <http://etienneroes.ch/>   |   osf.io/ede88 <https://osf.io/ede88>   |   github.com/eroesch <https://github.com/eroesch>   |   rdg.ac.uk/cinn <http://reading.ac.uk/cinn>   |   shop <https://eroesch.threadless.com/>
research:  project-chai.org <https://project-chai.org/>   |   crowd-charge.com <https://crowd-charge.com/>   |   cocoon-project.eu <https://cocoon-project.eu/>   |   rescience <http://rescience.org/>   |   ukrn <https://www.ukrn.org/>


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2023-06-09 16:35 Join the ReproPsy & e-ReproNim Fellowship Programmes! Etienne B. Roesch

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