five

User research data for FinEst pilot project GreenTwins

收藏
DataCite Commons2025-03-05 更新2024-07-13 收录
下载链接:
https://data.taltech.ee/records/6pfng-99931
下载链接
链接失效反馈
官方服务:
资源简介:
This record contatins the data on user research in the framework of FinEst pilot project entitled GreenTwins for (1) AvaLinn Smart City Planning Hub, (2) dynamic digital plant library (local tree models of different ages and LOD levels), (3) Urban Tempo (visualisation application), (4) Virtual Green Planner (co-planning application). The data is RESTRICTED access due to GDPR considerations. User research process and results are described in the publication: Nummi, P, Prilenska, V, Grisakov, K, Fabritius, H, Ilves, L, Kangassalo, P, Staffans, A, & Tan, X 2022, 'Narrowing the Implementation Gap: User-Centered Design of New E-Planning Tools', International Journal of E-Planning Research (IJEPR), 11(1), pp. 1-22. doi: http://doi.org/10.4018/IJEPR.315804  The data atteched to this record contains: README file with a brief description of user research process & list of workshops (participants per WS, methods, process & organization of teams, timeline). ZIP files with workshop related data: WS1 & WS2: Online workshops for Helsinki and Tallinn: Summaries of user needs   WS3, WS4, WS5: VGP Online events for citizens: Summary of discussions, Analysis report   WS6: Hub workshop in Tallinn: Summary, Images from the WS  Developer interviews: Summaries  Prioritization workshop: Prioritization boards 1 and 2   WS7: Tallinn Hub workshop: Documentation of the analysis session, Images from the WS  VGP user testing 1: Report of the feedback questionnaire, Images from the testing   Interviews with Tallinn city employees: Notes from the interview  WS8 and WS9: Expert elicitations in Helsinki and Tallinn: Questionnaire results from Helsinki and Tallinn, Presentation material in Helsinki WS, Images from the field visit  VGP user testing 2: Report
提供机构:
TalTech Data Repository
创建时间:
2023-06-16
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