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首页> 外文期刊>BMC Ecology >Surveying the citizen science landscape: an exploration of the design, delivery and impact of citizen science through the lens of the Open Air Laboratories (OPAL) programme
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Surveying the citizen science landscape: an exploration of the design, delivery and impact of citizen science through the lens of the Open Air Laboratories (OPAL) programme

机译：调查公民科学领域：通过露天实验室（OPAL）计划探索公民科学的设计，交付和影响

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Background This paper provides a short introduction to the topic of citizen science (CS) identifying the shift from the knowledge deficit model to more inclusive, participatory science. It acknowledges the benefits of new technology and the opportunities it brings for mass participation and data manipulation. It focuses on the increase in interest in CS in recent years and draws on experience gained from the Open Air Laboratories (OPAL) programme launched in England in 2007. Methods The drivers and objectives for OPAL are presented together with background information on the partnership, methods and scales. The approaches used by researchers ranged from direct public participation in mass data collection through field surveys to research with minimal public engagement. The supporting services focused on education, particularly to support participants new to science, a media strategy and data services. Results Examples from OPAL are used to illustrate the different approaches to the design and delivery of CS that have emerged over recent years and the breadth of opportunities for public participation the current landscape provides. Qualitative and quantitative data from OPAL are used as evidence of the impact of CS. Conclusion While OPAL was conceived ahead of the more recent formalisation of approaches to the design, delivery and analysis of CS projects and their impact, it nevertheless provides a range of examples against which to assess the various benefits and challenges emerging in this fast developing field.
机译：背景技术本文简要介绍了公民科学（CS）主题，确定了从知识缺失模型向更具包容性，参与性科学的转变。它承认新技术的好处以及它为大规模参与和数据操纵带来的机会。它着眼于近年来对CS的兴趣的增长，并借鉴了2007年在英格兰启动的露天实验室（OPAL）计划获得的经验。方法介绍了OPAL的驱动因素和目标以及有关合作伙伴关系，方法的背景信息。和规模。研究人员使用的方法从直接公众参与海量数据收集，实地调查到最小公众参与的研究。支持服务的重点是教育，特别是支持对科学，媒体策略和数据服务不熟悉的参与者。结果OPAL的示例用于说明近年来出现的CS设计和交付的不同方法，以及当前形势提供的公众参与的广泛机会。来自OPAL的定性和定量数据被用作CS影响的证据。结论尽管OPAL是在CS项目的设计，交付和分析方法及其影响的最新形式化之前构思的，但是它提供了一系列示例，可以用来评估在这个快速发展的领域中出现的各种好处和挑战。

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