The process of analyzing data also produces data in the form of results. In other words, project outcomes themselves are a data source for future research: aggregated summaries, descriptive statistics ...

Scientific advances in microbial ecology and microbiome science rely on both high-quality data and its high-quality analysis. To achieve this, the findings must be both reproducible (the analysis must ...

The acquisition of actionable, meaningful insights from multiplex immunoassays requires a robust, accurate pipeline for data analysis and interpretation. This is also key to gaining, identifying, and ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...