The role of software in science: a knowledge graph-based analysis of software mentions in PubMed Central.

ABSTRACT: Science across all disciplines has become increasingly data-driven, leading to additional needs with respect to software for collecting, processing and analysing data. Thus, transparency about software used as part of the scientific process is crucial to understand provenance of individual research data and insights, is a prerequisite for reproducibility and can enable macro-analysis of the evolution of scientific methods over time. However, missing rigor in software citation practices renders the automated detection and disambiguation of software mentions a challenging problem. In this work, we provide a large-scale analysis of software usage and citation practices facilitated through an unprecedented knowledge graph of software mentions and affiliated metadata generated through supervise

SUBMITTER: Schindler D 

PROVIDER: S-EPMC8771769 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature