Big data and data science are emerging as a new paradigm and tool in management research. In such contexts, the National Natural Science Foundation of China (NSFC) has launched a major research program since 2015: Big Data driven Management and Decision (BDMD), so as to promote China's fundamental research on big data. Text mining and bibliometric analysis are applied to studing the textual information of 114 granted projects under the BDMD major research program as well as nearly 6000 articles from 51 leading international journals over the last 8 years. Our comparative analysis is performed at both the keyword-level and topic-level. The paper also attempts to examine those literatures explicitly claiming big data along with the PAGE framework and by classifing them into different categories. Our research highlights the dynamic BDMD research landscape, with its focus constantly moving to new challenges due to new technological developments. Our findings are able to reveal the current research interests and the revolution trends in the field of BDMD. Furthermore, the comparative analysis between NSFC grants data and bibliometric data provides a robust roadmap for future research in the BDMD field.