Review: Is design data collection still relevant in the big data era? With extensions to machine learning.

The concept of information quality is important to consider when thinking about the benefits of DDC in the BD era in that DDC efforts have the ability to purposely improve information quality and focus on quality aspects that are most important to the analysis goal. Initial phases of the current wave of ML/AI were fueled by the availability of BD coupled with large-scale computing.[12] However, more recent publications have begun to focus on the need for DDC in improving current ML/AI methodologies. EXTENSIONS TO MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE Finally, I will conclude with a few exciting intersections of BD and DDC in the context of machine learning (ML) and artificial intelligence (AI). I especially appreciate how the paper is structured to strategies that can be applied before BD, during actual BD, and after the collection of BD. [Extracted from the article]