Ontology highlight
ABSTRACT: Background
Environmental health and other researchers can benefit from automated or semi-automated summaries of data within published studies as summarizing study methods and results is time and resource intensive. Automated summaries can be designed to identify and extract details of interest pertaining to the study design, population, testing agent/intervention, or outcome (etc.). Much of the data reported across existing publications lack unified structure, standardization and machine-readable formats or may be presented in complex tables which serve as barriers that impede the development of automated data extraction methodologies. As full automation of data extraction seems unlikely soon, encouraging investigators to submit structured summaries of methods and results in stand
SUBMITTER: Wilkins A
PROVIDER: S-EPMC9280381 | biostudies-literature | 2022 Mar
REPOSITORIES: biostudies-literature