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欧洲基于现有自然解决方案进行学习的数据与知识库开发方法:CONNECTING Nature项目

Methodology for development of a data and knowledge base for learning from existing nature-based solutions in Europe: The CONNECTING Nature project.

作者信息

Dushkova Diana, Haase Dagmar

机构信息

Department of Geography, Humboldt University Berlin, Germany.

出版信息

MethodsX. 2020 Oct 13;7:101096. doi: 10.1016/j.mex.2020.101096. eCollection 2020.

Abstract

Within CONNECTING Nature, we are dealing with developing innovative nature-based solutions (NBS) for climate change adaptation, health and well-being, social cohesion and sustainable economic development in European cities. In order to enable "learning by comparing" and "generating new knowledge" from multiple NBS related studies, a novel data and knowledge base is needed which requires a specified methodological approach for its development. This paper provides conceptual and methodological context and techniques for constructing such a data and knowledge base that will systematically support the process of NBS monitoring and assessment:•A methodology presents the comprehensive, multi-step approach to the NBS data and knowledge development that helps to guide work and influence the quality of an information included.•The paper describes the methodology and main steps/phases for developing a large data and knowledge base of NBS that will allow further systematic review.•The suggested methodology explains how to build NBS related databases from the conceptualization and requirements phases through to implementation and maintenance. In this regard, such a methodology is iterative, with extensive NBS stakeholders' and end-user's involvement that are packaged with reusable templates or deliverables offering a good opportunity for success when used by practitioners and other end-users.•The NBS data and knowledge base gathers information about different NBS models and generations into one easy-to-find, easy-to-use place and provides detailed descriptions of each of the 1490 NBS cases from urban centers in Europe.•The data and knowledge base thus helps users identify the best and most appropriated NBS model/type for addressing the particular goals and, at the same time, considers the local context and potential.•The data obtained can be used for the further meta-analysis by applying statistics or searching for specific sample cases and thus enables to generate and expand the knowledge from multiple NBS related studies, in both qualitative and quantitative ways.

摘要

在“连接自然”项目中,我们致力于为欧洲城市开发基于自然的创新解决方案(NBS),以应对气候变化适应、健康与福祉、社会凝聚力以及可持续经济发展等问题。为了实现“通过比较学习”以及从多个与NBS相关的研究中“生成新知识”,需要一个新颖的数据和知识库,其开发需要特定的方法。本文提供了构建此类数据和知识库的概念、方法背景及技术,该知识库将系统地支持NBS监测和评估过程:

  • 一种方法展示了NBS数据和知识开发的全面多步骤方法,有助于指导工作并影响所包含信息的质量。

  • 本文描述了开发NBS大数据和知识库的方法以及主要步骤/阶段,这将允许进一步的系统综述。

  • 所建议的方法解释了如何从概念化和需求阶段到实施和维护构建与NBS相关的数据库。在这方面,这种方法是迭代的,有广泛的NBS利益相关者和最终用户参与,这些都与可重复使用的模板或可交付成果打包在一起,为从业者和其他最终用户使用时提供了成功的良好机会。

  • NBS数据和知识库将有关不同NBS模型和代际的信息收集到一个易于查找、易于使用的地方,并提供了来自欧洲城市中心的1490个NBS案例中每个案例的详细描述。

  • 该数据和知识库因此帮助用户识别用于实现特定目标的最佳和最合适的NBS模型/类型,同时考虑当地背景和潜力。

  • 所获得的数据可通过应用统计或搜索特定样本案例用于进一步的元分析,从而能够以定性和定量方式从多个与NBS相关的研究中生成和扩展知识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b5/7600359/c82c0d63b515/fx1.jpg

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