five

Beyond Imagination Life Survey Dataset

收藏
DataCite Commons2025-09-23 更新2024-07-13 收录
下载链接:
https://research.lancaster-university.uk/en/datasets/98d1b6c9-f5cf-4391-9222-aef477a37843
下载链接
链接失效反馈
官方服务:
资源简介:
ImaginationLancaster – Lancaster Universities design-led research lab, in conjunction with Lancaster City Council and Blackburn with Darwen Council commissioned BMG Research to conduct a wide-ranging ‘Life Survey’ interview to establish the views, attitudes and experiences of residents in each area. Lancaster City Council and Blackburn with Darwen Council priorities formed a key part of the survey development throughout, resulting in a survey structure which combines the needs of different stakeholders, based on four themes: Health and Wellbeing, Wealth and Opportunity, Sustainability, Transport and Travel and Connected Communities and Services. There are 2 anonymised Life Survey datasets – Lancaster District and Blackburn with Darwen. The Lancaster District dataset consists of 896 online and 748 face to face interviews. The Blackburn with Darwen dataset consists of 543 online and 756 face to face interviews. This is a closed dataset. Access to the Life Survey dataset is restricted to Lancaster University researchers and officers within Lancaster City Council and Blackburn with Darwen Council. For Lancaster University researchers, the dataset is available on request with an appropriate Data Access Agreement via PURE. Officers within Lancaster City Council should contact Jez Bebbington with dataset access requests. Access will be granted on a role based basis. Email: jbebbington@lancaster.gov.uk Officers within Blackburn with Darwen Council should contact Elise Carroll. Access will be granted on a role based basis. Email: elise.carroll@blackburn.gov.uk For further information on the Life Survey please see: https://imagination.lancaster.ac.uk/update/life-survey-findings/ Funded by UKRI Research England as part of the Beyond Imagination project. Description
提供机构:
Lancaster University
创建时间:
2022-06-23
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作