A few thoughts about the importance of knowing the theories and prior studies in the content area of the modeling and data collection and data analysis and generation of conclusions.

You can’t model data without knowing what the data mean.

Click on mind map to expand.

We have had many data science fields in the past 50 years. Among others, the fields include applied statistics, biostatistics, psychometrics, quantitative psychology, econometrics, sociometrics, epidemiology, and many others. The new emphasis on data science ignores content knowledge about the data and their limitations and the permissible conclusions.

We do not need to replace a round wheel with a square one.

See also previous post on Big Data/Data Science adopting the mistakes of Big Pharma.

a HubaMap™ by g j huba phd

Dec 13 2013: I have been experimenting with some formatting. This is the same map content as above, but using iMindMap 7 which was recently released.