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Departmental FAIR checklists

Version 3 2024-03-26, 08:58
Version 2 2022-11-01, 12:22
Version 1 2022-08-25, 12:27
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posted on 2024-03-26, 08:58 authored by Jenni AdamsJenni Adams, Tha'er Abdalla, Zuzanna ZagrodzkaZuzanna Zagrodzka, Deniz SimsekDeniz Simsek, Yi Liu, Daniel Bowman, Itzel San Roman Pineda, Nerea Okong'o, James Wingham, Matt Tipuric, Shuangke Jiang, Asia Szczepaniak, Charlotte CotterillCharlotte Cotterill, Helen FosterHelen Foster, Rosie Higman, Beverley JonesBeverley Jones, Emily NunnEmily Nunn


Project overview: A pilot project was conducted in April-July 2022 to create discipline-specific guidance on how to make research data and software FAIR (findable, accessible, interoperable & reusable) in seven departments across the University of Sheffield: Architecture, Biosciences, English, Geography, Mechanical Engineering, Psychology, and the School of Health and Related Research.


Methodology: Early Career Researchers and PGR students were commissioned to work as FAIR departmental leads, working with disciplinary colleagues to identify existing good practice and create a resource for researchers working within that area. Consultation was conducted and feedback sought, before the resources were launched and hosted at a local level as well as being archived to ORDA.


Checklist creators:

Architecture: Tha'er Abdalla 

Biosciences:  Deniz Simsek and Zuzanna Zagrodzka 

English: Daniel Bowman and Yi Liu 

Geography: Nerea Okong’o and Itzel Pineda  

Mechanical Engineering: Matt Tipuric and James Wingham

Psychology: Shuangke Jiang and Asia Szczepaniak 

School of Health and Related Research: Charlotte Cotterill


Note: the Biosciences team ultimately created a Google Site version of their checklist as they felt this was more easily negotiable by researchers. A text version of the content has been archived.


The project was organised by the Scholarly Communications Team, University of Sheffield Library, who also provided support to the checklist creators.



History

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  • The uploaded data can be shared openly

Data description

  • The file formats are open or commonly used

Methodology, headings and units

  • Headings and units are explained in the files

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