Digital Science has launched a report focusing on falsifiability and reproducibility in scientific research. The report addresses three areas including appropriate documentation and sharing of research data, clear analysis and processes, and the sharing of code.
Making Science Better: Reproducibility, Falsifiability and the Scientific Method looks at the current state of reproducibility in 2019, as well as the importance of falsifiability in the research process.
The analysis comes from the Digital Science portfolio company, Ripeta, which aims to make better science easier by identifying and highlighting the important parts of research that should be transparently presented in a manuscript and other materials.
The tool detects and evaluates the key evidence for reproducibility in science through software and analytics development; improving evidence-based science and fiscal efficiency of research investments. These tools leverage sophisticated machine-learning and natural language processing algorithms to extract key reproducibility elements from research articles.
Ripeta has been nominated as a finalist for the ALPSP Awards for Innovation in Publishing. Interested parties may read the full report here.
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