Mehrzad Abdi Khalife - Institute of Economic sciences, Szent Istvan campus, Hungarian University of agriculture and life Sciences, Gödöllő, Hungary
Anna Dunay - Institute of Economic sciences, Szent Istvan campus, Hungarian University of agriculture and life Sciences, Gödöllő, Hungary
Csaba B.Illes - Institute of Economic sciences, Szent Istvan campus, Hungarian University of agriculture and life Sciences, Gödöllő, Hungary
Babak Amiri - School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

The twenty-first century is the data revolution century and especially in the last decade, the dataanalysis methods are used by most scholars and practitioners in all scientific fields. Projectmanagement is a social science with heavy reliance on data, and the available data in projects can beconstructed, semi-constructed or unconstructed information and project managers rely on this data tomake the decision. Because project managers overwhelmed with data and information most of thetime they make the decision when the problem occurred and it makes project inefficient andineffective business. The data analyzing tools for project managers seem crucial, and big data analysisis useful tools to analyze the huge volume of any type of data and big data analysis techniques arestrong tools. Here in this study the history of big data analysis in project management is reviewed andbased on finding the new agenda in the application on big data analysis in project managementproposed. The study's methodology is based on combination of a systematic literature review andbibliometric analysis. By reviewing the history of the application of big data in project managementthe gaps are identified and the new agenda for future development agendas are introduced. This articleis a database for practitioners to find the application of the project management big data applicationsand is a guideline for project management and big data analysis for future study. Big data analysiswill play a significant role in social science, especially the multidisciplinary field of science likeproject management.

Project management, big data, bibliometric analysis, systematic literature review, future study