Triangulationensured the comprehensiveness of data; we included data triangulation by using two data analysts (investigator triangulation: multiple coding) [ 50, 51].
We included different aspects of triangulation by using two approaches to focus groups (methodological triangulation) and two data analysts (investigator triangulation: multiple coding) [ 76, 77].
However, the data elements that feed the variable summary tool are extracted manually from study data and uploaded to the database, a process now performed by data analysts and involving multiple steps before the data are available for search.
The project has been guided by the goals to enable analysts to collaboratively collect, connect, and work with multiple data types (e.g., audio, text, video) to enrich identity information, while allowing analysts to fuse their own closed source data with open source on a site-by-site basis.
The statistical concepts discussed by the data analysts ranged from inferential statistics to commonly used modeling techniques, like logistic regression, multiple linear regression, and Cox Proportional Regression modeling.
Analysts who use secondary data are obviously at the mercy of the teams that collect and release data; analysts can only use data that are made available.
The IDG enterprise study, referred to above, reports that many companies are investing in the skill sets necessary for big data deployment, including Data Scientists (27%), Data Architects (24%), Data Analysts (24%), Data Visualizers (23%), Research Analysts (21%), and Business Analysts (21%).
Data analysts were not blinded.
Data analysts will be blinded.
