The Data Management and Analysis Core (DMAC) strengthens the UAB Superfund Research Center research capabilities and ... data retrieval, patient or sample tracking and procedures to ensure data ...

The ability to change course based on both kinds of data is important in a market that's changing quickly. Combining quantitative and qualitative data analysis can give students ... skills in ...

Quantitative data management and analysis uses numbers in its methods ... Lincoln, the authors of "Handbook of Qualitative Research," qualitative methods also emphasize "the socially constructed ...

Power analyses and sample size calculations are important parts of many research projects. Often, before data are even collected ... rate. For a given analysis plan, specification of any three of ...

Inscopix’s IDEAS (Inscopix Data Exploration, Analysis and Sharing) platform is a comprehensive, secure, big data management system ... platform for neuroscience research that will help: Store ...

qualitative analysis uses subjective judgment to analyze a company's value or prospects based on non-quantifiable information, such as management expertise, industry cycles, strength of research ...

Newly formed partnership enables clinical genomics laboratories to move from sample to evidence ... is generating an even larger data management and analysis bottleneck for clinical genomics ...

The design, make, test, and analyze cycle (DMTA), which drives early-stage drug discovery, requires workflows and automated methods for sample storage and tracking, low volume dispensing of ...

Bayer has set up a system to manage its omics data analysis workflow. The system is the result of Bayer's collaboration with Genedata, which has provided its data management and analysis software ...