Web-based ecological evidence entry form enables consistent, accessible extraction and visualization for synthesis applications
Caroline E. Ridley, Casey Hansen, Peter Byrley, Tara Greaver, S. Douglas Kaylor, R. Byron Rice, Kate A. Schofield, Andrew Shapiro

TL;DR
A web-based tool helps extract and visualize ecological evidence from scientific publications, making it easier to use for conservation and policy decisions.
Contribution
A free, web-based evidence entry form with a structured database schema and controlled terminology for consistent ecological evidence extraction.
Findings
The form enables storage, retrieval, and visualization of qualitative and quantitative ecological evidence.
The database schema logically relates publications, experimental designs, and cause-effect relationships.
An ontology of controlled terminology improves consistency and facilitates evidence reuse across users.
Abstract
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…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsResearch Data Management Practices · Species Distribution and Climate Change · Scientific Computing and Data Management
