This policy applies to activities that involve the secondary analysis of data (such as medical records, student records, data collected from previous studies, audio/video recordings, etc.) or ...

The challenges posed by the modern economic and business climate mean that companies must be ready to cope with change. Change can affect business strategy, operations, marketing, technology and more.

A data set having missing observations often is completed by using imputed values. Our objective is to improve the practice of secondary data analysis by looking at the interplay of different ...

The Regulatory Citation and How It Applies: Secondary research for which consent is not required: Secondary research uses of identifiable private information or identifiable biospecimens, if at least ...

The design of your study, the research questions you’ve posed, and types of data you’ve collected (e.g., quantitative, qualitative) are important considerations in determining the data analysis and ...

Speeding up the exploratory data analysis process using flexible automation and consistent reporting allows analysts to deliver analyses quickly while ensuring precise, accurate results. In most ...

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out. Novice data scientists sometimes have ...

True to form, California takes a unique approach. As you can tell from the chart above, there are essentially two approaches to consent for secondary use: The California approach and the Connecticut ...

Speeding up the exploratory data analysis process using flexible automation and consistent reporting allows analysts to deliver analyses quickly while ensuring precise, accurate results. In most ...