2019
DOI: 10.1080/14780887.2019.1605477
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A context-consent meta-framework for designing open (qualitative) data studies

Abstract: The material cannot be used for any other purpose without further permission of the publisher and is for private use only.There may be differences between this version and the published version. You are advised to consult the publisher's version if you wish to cite from it.

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citations
Cited by 29 publications
(37 citation statements)
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“…52 Careful consideration must be given to the appropriateness of certain open science practices for primary qualitative research, such as open data sharing and the ethical, confidentiality and sensitivity issues of this. 53 While there exists debates as to the extent to which such open science practices may be possible in primary qualitative research, 53 researchers could consider at the earliest stage of research design how and where open practices might be appropriate in their research.…”
Section: Discussionmentioning
confidence: 99%
“…52 Careful consideration must be given to the appropriateness of certain open science practices for primary qualitative research, such as open data sharing and the ethical, confidentiality and sensitivity issues of this. 53 While there exists debates as to the extent to which such open science practices may be possible in primary qualitative research, 53 researchers could consider at the earliest stage of research design how and where open practices might be appropriate in their research.…”
Section: Discussionmentioning
confidence: 99%
“…Others have outlined concerns surrounding missing layers of interpretation and the importance of consent as an ongoing process. 140 Researchers should handle datasets involving information from vulnerable populations (e.g., sexual assault survivors or refugees) with care so that participants' personal information is appropriately protected. Fortunately, many data repositories offer access controls so that researchers may embargo data or provide conditions for access if desired (Table 2).…”
Section: (C) Qualitative Researchmentioning
confidence: 99%
“…The popularization of a positivist Open Science framework has direct ramifications for qualitative ECRs. The principles of open data do not translate well to qualitative approaches, due to enhanced ethical issues such as increased risk of participant identification (Chauvette et al, 2019) and challenges relating to data ownership (Branney et al, 2019). If ECRs' qualitative research does not fit within an Open Science framework, their career outcomes may be adversely impacted and their work regarded as less rigorous and consequently less publishable (Siegel & LaMarre, 2019).…”
Section: Open Science In Qualitative Early Career Researchmentioning
confidence: 99%
“…As well as pedagogic improvement, support for qualitative feminist ECRs in Open Science is urgently needed to improve ECRs sense of belonging in academia (McAlpine et al, 2014).Despite these challenges, adopting Open Science practices also has the potential to benefit qualitative ECRs. By providing concrete examples of how research develops, preregistration and ongoing documentation of qualitative projects may strongly increase transparency and encourage knowledge exchange(Branney et al, 2019;Haven & van Grootel, 2019). For example,Tsai et al (2016) suggest that qualitative researchers could make transcription rules, coding units, and processes for code development available.…”
mentioning
confidence: 99%