Ridley Caroline E, Hansen Casey, Byrley Peter, Greaver Tara, Kaylor S Douglas, Rice R Byron, Schofield Kate A, Shapiro Andrew
U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Research Triangle Park, North Carolina, USA.
Oak Ridge Institute for Science and Education Fellow at U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Research Triangle Park, North Carolina, USA.
Conserv Sci Pract. 2025 Jan 23;7(2):e13278. doi: 10.1111/csp2.13278.
Applying scientific evidence to conservation, environmental management, and policy-making improves outcomes. When synthesizing existing evidence, substantial resources are required to access and read scientific publications and extract and analyze decision-relevant information. To improve this process, we developed a free, publicly available, web-based evidence entry form tailored to extract information about cause-effect relationships from ecological publications. The form enables storage, retrieval, reuse, and visualization of qualitative and quantitative ecological and environmental evidence extracted from publications. Evidence can be analyzed for a wide range of synthesis purposes (e.g., causal assessments, hypothesis testing) and approaches (e.g., rapid reviews, meta-analyses). The database schema underlying the form logically relates information about (a) a publication, (b) its experimental design(s), and (c) reported cause-effect relationships. An ontology of controlled terminology enables consistent extraction and characterization of causes and effects across users, facilitating evidence reuse. Future capabilities include customization of terminology and incorporation of study quality information.
将科学证据应用于保护、环境管理和政策制定可改善成果。在综合现有证据时，需要大量资源来获取和阅读科学出版物，并提取和分析与决策相关的信息。为改进这一过程，我们开发了一种免费的、可公开获取的基于网络的证据录入表单，专门用于从生态出版物中提取因果关系信息。该表单能够存储、检索、复用和可视化从出版物中提取的定性和定量生态与环境证据。可针对广泛的综合目的（如因果评估、假设检验）和方法（如快速综述、荟萃分析）对证据进行分析。该表单所基于的数据库模式在逻辑上关联了有关（a）出版物、（b）其实验设计以及（c）报告的因果关系的信息。一个受控术语本体能够实现跨用户对原因和结果进行一致的提取和特征描述，便于证据复用。未来的功能包括术语定制和纳入研究质量信息。
