Improving wellbeing through urban nature: Qualitative interviews and analysis 2016-2019

This data is NERC-funded but not held by the EIDC. This data is archived in the UK Data Service ReShare repository. This dataset contains material from work package 4.1 from the IWUN project: ‘A new green paradigm for wellbeing: an integrated approach to GBI (green and blue infrastructure) planning, health and social care’. The qualitative research for this work package took place between late 2017 and mid 2018. The central element of this research was a process of identifying greenspace interventions to improve wellbeing, and engaging stakeholders through a survey, interviews and focus groups to shortlist those interventions considered most practicable in Sheffield. The interviews and focus groups also discussed how such interventions could be implemented, what benefits were associated with them, and the processes involved in deciding whether or not to invest in the chosen actions. The dataset contains (a) anonymised interview and focus group transcripts to identify stakeholder preferences for greenspace interventions to improve wellbeing; (b) anonymised notes from associated public events; (c) notes from a thematic analysis of the interview and focus group material; (d) records of voting preferences from stakeholder groups in selecting possible greenspace interventions. This work was supported by the Natural Environment Research Council award number NE/N013565/1 as part of the Valuing Nature programme.

Publication date: 2019-12-12

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This dataset is part of the following


Study area
Temporal extent
2016-06-01    to    2019-12-31

Provenance & quality

See metadata within ReShare record for details.

Correspondence/contact details

Dr Julian Dobsom
University of Sheffield

Other contacts

UK Data Service ReShare
UK Data Service ReShare

Additional metadata

Topic categories
evidence,  health,  mental health,  parks,  public administration,  social care,  urban spaces,  well-being (health)
Human Health and Safety
Natural Environment Research Council Award: NE/N013565/1
Last updated
07 January 2020 12:43