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Dataset . 2018
License: CC BY
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Dataset . 2018
License: CC BY
Data sources: Sygma
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Dataset . 2018
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
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Catch-Eyou: Meanings And Practices Of Youth Participation And Cases Of Successful Participation: Cross-National Ethnography Cases

Authors: Banaji, Shakuntala; Menezes, Isabel; Kalmus, Veronika; Motti-Stefanidi, Frosso; Amnå, Erik; Cicognani, Elvira; Noack, Peter; +1 Authors

Catch-Eyou: Meanings And Practices Of Youth Participation And Cases Of Successful Participation: Cross-National Ethnography Cases

Abstract

This data set contains data related to the ethnographic qualitative study (participant observations and in-depth interviews) of citizens active in youth citizenship organizations. The selected participants are active in supporting, communicating and engaging young people’s active participation in diverse and varied causes (the environment, anti-austerity protests, pro-European vote, voting at 16, anti-fees and cuts campaigns, rights around civic spaces and youth centers, employment and jobs-related campaigns, issues around race and religion, volunteering, refugees, local housing and education). The ethnographic study was performed in Italy, Sweden, Germany, Greece, Portugal, Czech Republic, UK, and Estonia. The data set consists of: (1) eight national textual reports of detailed observations (ethnographic field notes) of youth civic and political organizations/individual youth. The reports are in English and are fully anonymized and redacted. (2) 48 carefully redacted and ethically permissioned English language transcripts of qualitative interviews (6 interviews from each partner country) and (3) 160 carefully redacted and ethically permissioned English language transcripts of participant-observation field notes (20 A4 pages per country). The names of organisations and personal data of participants or employees have been strictly redacted and anonymized in order to protect participants’ privacy and comply with ethical requirements. Instead generic descriptors such as ‘National Students Organisation’ or ‘Local Municipal Youth Volunteer Centre’ are used throughout. The data can be reused by researchers who want to compare our data with similar data collected in different countries, to perform textual analysis (content analysis and/or data mining) on our data.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
Average
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2