five

Repository for Museums in the Pandemic (MIP): Risk, Closure, and Resilience

收藏
DataCite Commons2023-06-06 更新2025-04-16 收录
下载链接:
https://kcl.figshare.com/articles/dataset/Repository_for_Museums_in_the_Pandemic_MIP_Risk_Closure_and_Resilience/23253329
下载链接
链接失效反馈
官方服务:
资源简介:
Repository for Museums in the Pandemic (MIP) project (Birkbeck, University of London and King's College London). <br> Museums have an important role in our economy, education and cultural life. They add to the texture and richness of villages, towns and cities, and can help build and maintain communities. During the pandemic, their continuing existence has been under threat, and while many museums have benefitted from emergency funding or government schemes, their position remains precarious. <br> In order to better support the UK museum sector, the museum services need to identify which types of museums are at risk of closure, which remain resilient, and which close on a permanent basis. Doing so presents a considerable challenge. Data collection is selective and tends not to cover unaccredited museums, it is dispersed across multiple platforms, there are no mechanisms for documenting closure, and establishing risk of closure entirely relies on individual organisations self-reporting. <br> The Museums in the Pandemic project investigates how ‘big data techniques’ can inform research into the UK museum sector. It combines qualitative and quantitative research, and has three inter-related strands: Developing new ways to collect data on museums. We will use web analytics, natural language processing, and sentiment analysis to digitally track trends as they emerge. The data will be analysed with respect to museum characteristics – such as governance, location and size – to provide a nuanced understanding of the sector at a given moment. Manually checking and validating the information generated by big data collection. Using interview-based research to better understand what constitutes risk during a pandemic, the triggers for permanent closure, and how museums have and continue to remain resilient. <br> URL: https://www.bbk.ac.uk/research/projects/museums-in-the-pandemic <br> PI: Fiona Candlin (Birkbeck, UoL) Co-I: Andrea Ballatore (King's College London) Co-I: Alex Poulovassilis (Birkbeck, UoL) Co-I: Peter Wood (Birkbeck, UoL)

伦敦大学伯克贝克学院与伦敦国王学院联合开展的‘疫情中的博物馆’(MIP)项目仓库<br>博物馆在经济、教育与文化生活中扮演着重要角色。它们为乡村与城镇增添了文化质感与丰富度,助力社区的构建与维系。疫情期间,博物馆的存续面临严峻威胁。尽管诸多博物馆获得了紧急资金或政府计划的支持,但其处境依旧岌岌可危。<br>为更好地支持英国博物馆行业,博物馆服务机构需识别出哪些类型的博物馆面临闭馆风险、哪些具备抗风险韧性、哪些已永久关闭。这一任务构成了重大挑战。数据收集存在选择性,往往未覆盖未认证博物馆;数据分散于多个平台;缺乏记录闭馆情况的机制;闭馆风险的评估则完全依赖各机构自行上报。<br>‘疫情中的博物馆’项目旨在探究‘大数据技术’如何为英国博物馆行业的研究提供支撑。该项目融合了定性与定量研究方法,包含三个相互关联的研究方向:<br>开发博物馆数据收集的新方法。项目将运用网络分析、自然语言处理(natural language processing)与情感分析技术,以数字化方式追踪新兴趋势。数据将结合博物馆特征(如治理模式、地理位置及规模)进行分析,从而深入理解特定时期内行业的细微动态。<br>对大数据收集生成的信息进行人工核查与验证。<br>通过访谈研究,深入理解疫情期间构成风险的因素、永久闭馆的触发条件,以及博物馆如何维持并延续其抗风险韧性。<br>URL: https://www.bbk.ac.uk/research/projects/museums-in-the-pandemic <br>项目负责人(PI):Fiona Candlin(伦敦大学伯克贝克学院)<br>合作负责人(Co-I):Andrea Ballatore(伦敦国王学院)<br>合作负责人(Co-I):Alex Poulovassilis(伦敦大学伯克贝克学院)<br>合作负责人(Co-I):Peter Wood(伦敦大学伯克贝克学院)
提供机构:
King's College London
创建时间:
2023-05-28
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