Ebrahim Rasti Borazjani Faghat - Scientific editor and Co-Editor-in-Chief, JBDSR, Najafabad, Iran

Grounded theory is a research methodology that is used in data science to uncover patterns or relationships among the data. It is a flexible and iterative approach that is suitable for discovering new insights in very large and complex data sets. The efficient use of grounded theory in research makes the exploration of instances in data science easier to enable the effective analysis of large and complex data sets for effective decision-making and efficient problem-solving. This article will provide an in-depth analysis of the grounded theory process and its application in data science.

Grounded theory, Data Science, Research, Theory making, Data Science Research