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Please use this identifier to cite or link to this item: http://hdl.handle.net/11667/193
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DC FieldValueLanguage
dc.contributorBrown, Ashley-
dc.contributor.otherESRC - Economic and Social Research Councilen_GB
dc.coverage.spatialBritainen_GB
dc.coverage.temporalCOVID-19 pandemic (2020 and 2021)en_GB
dc.creatorHunt, Kate-
dc.creatorCritchlow, Nathan-
dc.creatorWardle, Heather-
dc.creatorBrown, Ashley-
dc.creatorFitzgerald, Niamh-
dc.date.accessioned2022-04-08T07:27:03Z-
dc.date.available2022-04-08T07:27:03Z-
dc.identifier.urihttp://hdl.handle.net/11667/193-
dc.description.abstractThis longitudinal qualitative dataset comes from an ESRC funded study exploring gambling behaviour among sports bettors during the COVID-19 pandemic. 29 interviews with regular sports bettors were conducted during the study. Sixteen sports bettors took part in the first interview between July-November 2020, and 13 in the follow-up interview between March-September 2021. Permissions are in place to potentially share 25 out of 29 interviews.en_GB
dc.description.tableofcontentsFiles in the format serial-SB-year are all interview transcripts. The other files have the description, name and year of the document in the file name, e.g. information sheet, topic guide, consent form.en_GB
dc.language.isoengen_GB
dc.publisherUniversity of Stirling. Faculty of Health Sciences and Sport.en_GB
dc.relationHunt, K; Critchlow, N; Wardle, H; Brown, A; Fitzgerald, N (2999): Transitions to more harmful forms of gambling during Covid-19 pandemic: behaviours and targeted marketing in young people and bettors on sport. Work package 3 Sports Bettors. University of Stirling. Faculty of Health Sciences and Sport. Dataset. http://hdl.handle.net/11667/193en_GB
dc.rightsThis item has been embargoed permanently. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. Please note these Special conditions: De-identified qualitative interview data from this study will be suitable for sharing provided that appropriate safeguards are in place: 1. De-identified transcripts will only be shared where participant permission has been explicitly obtained and, where it is considered that additional de-identification or redaction of the transcripts may be required, costs for this would need to be covered by the party making the for data sharing request. While de-identification/redaction measures will be done before transcripts are shared, we acknowledge there is a very small chance that someone could be identifiable from their answers due to the rich nature of qualitative data. Consequently, we plan to inform participants that ‘strong measures are in place to make it difficult for anyone to be identified from their typed up interview’ rather than make a guarantee that a person’s answers could never be traced back to them. 2. Once all planned articles are accepted for publication, other interested parties may request access to de-identified transcripts. Any requests for access will be reviewed by the PIs and assessed according to factors such as whether a strong case can be made for further analysis of the data. If granted, appropriate legal/data-sharing agreements will be drafted and signed. This agreement will include, as a minimum, the need for the requestor to: declare links with gambling companies; specify how data will be used; the scientific case justifying the need for further analysis; how participant privacy and confidentiality will be fully protected; and relevant expertise of those performing analysis.en_GB
dc.subjectGamblingen_GB
dc.subjectQualitativeen_GB
dc.titleTransitions to more harmful forms of gambling during Covid-19 pandemic: behaviours and targeted marketing in young people and bettors on sport. Work package 3 Sports Bettorsen_GB
dc.typedataseten_GB
dc.rights.embargoreasonWe would like the files to be permanently embargoed. The following conditions are in place in respect of accessing this data: Special conditions De-identified qualitative interview data from this study will be suitable for sharing provided that appropriate safeguards are in place: 1. De-identified transcripts will only be shared where participant permission has been explicitly obtained and, where it is considered that additional de-identification or redaction of the transcripts may be required, costs for this would need to be covered by the party making the for data sharing request. While de-identification/redaction measures will be done before transcripts are shared, we acknowledge there is a very small chance that someone could be identifiable from their answers due to the rich nature of qualitative data. Consequently, we plan to inform participants that ‘strong measures are in place to make it difficult for anyone to be identified from their typed up interview’ rather than make a guarantee that a person’s answers could never be traced back to them. 2. Once all planned articles are accepted for publication, other interested parties may request access to de-identified transcripts. Any requests for access will be reviewed by the PIs and assessed according to factors such as whether a strong case can be made for further analysis of the data. If granted, appropriate legal/data-sharing agreements will be drafted and signed. This agreement will include, as a minimum, the need for the requestor to: declare links with gambling companies; specify how data will be used; the scientific case justifying the need for further analysis; how participant privacy and confidentiality will be fully protected; and relevant expertise of those performing analysis.en_GB
dc.contributor.emailniamh.fitzgerald@stir.ac.uken_GB
dc.identifier.projectidES/V004549/1en_GB
dc.title.projectTransitions to more harmful forms of gambling during Covid-19 pandemic: behaviours and targeted marketing in young people and bettors on sporten_GB
dc.contributor.affiliationUniversity of Glasgowen_GB
dc.contributor.affiliationUniversity of Stirling (Institute for Social Marketing)en_GB
dc.date.publicationyear2999en_GB
dc.description.accessSpecial conditions De-identified qualitative interview data from this study will be suitable for sharing provided that appropriate safeguards are in place: 1. De-identified transcripts will only be shared where participant permission has been explicitly obtained and, where it is considered that additional de-identification or redaction of the transcripts may be required, costs for this would need to be covered by the party making the for data sharing request. While de-identification/redaction measures will be done before transcripts are shared, we acknowledge there is a very small chance that someone could be identifiable from their answers due to the rich nature of qualitative data. Consequently, we plan to inform participants that ‘strong measures are in place to make it difficult for anyone to be identified from their typed up interview’ rather than make a guarantee that a person’s answers could never be traced back to them. 2. Once all planned articles are accepted for publication, other interested parties may request access to de-identified transcripts. Any requests for access will be reviewed by the PIs and assessed according to factors such as whether a strong case can be made for further analysis of the data. If granted, appropriate legal/data-sharing agreements will be drafted and signed. This agreement will include, as a minimum, the need for the requestor to: declare links with gambling companies; specify how data will be used; the scientific case justifying the need for further analysis; how participant privacy and confidentiality will be fully protected; and relevant expertise of those performing analysis.en_GB
dc.identifier.wtid1604387en_GB
Appears in Collections:University of Stirling Research Data

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