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Investigating the barriers and enablers to data sharing behaviours: A qualitative Registered Reportuse asterix (*) to get italics
Emma L Henderson, Afrodita Marcu, Lou Atkins, Emily K FarranPlease use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"
2023
<p>Data sharing describes the process of making research data available for reuse. The availability of research data is the basis of transparent, effective research systems that democratise access to knowledge and advance discovery. Despite a broad recognition of the value of data sharing across the sector, many researchers are not yet engaging meaningfully with data sharing behaviours. Through a behavioural lens, this study aims to identify the barriers and enablers to data sharing experienced by researchers working at a UK university. Data will be collected using a theoretically-informed 26-item interview schedule (COM-B model: Capability, Opportunity, Motivation – Behaviour; TDF: Theoretical Domains Framework). [SAMPLE SIZE TO BE ADDED AT STAGE 2] participants, across a range of career levels and disciplines, will be recruited to take part in semi-structured interviews focused on data sharing behaviours and their influences. Transcripts will be analysed using thematic template analysis based on the COM-B constructs and TDF domains. [A BRIEF SUMMARY OF THE RESULTS AND IMPLICATIONS WILL BE ADDED AT STAGE 2].</p>
You should fill this box only if you chose 'All or part of the results presented in this preprint are based on data'. URL must start with http:// or https://
You should fill this box only if you chose 'Scripts were used to obtain or analyze the results'. URL must start with http:// or https://
You should fill this box only if you chose 'Codes have been used in this study'. URL must start with http:// or https://
behaviour change, open research, open science, COM-B, TDF, open data, data sharing, data stewardship
NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).
Social sciences
No need for them to be recommenders of PCI Registered Reports. Please do not suggest reviewers for whom there might be a conflict of interest. Reviewers are not allowed to review preprints written by close colleagues (with whom they have published in the last four years, with whom they have received joint funding in the last four years, or with whom they are currently writing a manuscript, or submitting a grant proposal), or by family members, friends, or anyone for whom bias might affect the nature of the review - see the code of conduct
e.g. John Doe [john@doe.com]
2023-05-11 19:18:48
Veli-Matti Karhulahti