Context: Today’s digital world with millions of users results in vast amounts of data. This ‘big data’, characterized according to its volume, variety, velocity, and veracity, is impacting the lives of data users worldwide in many ways and has become important for day-to-day decision-making. Problem: Requirements engineering (RE) - approaches used to engineer user requirements - plays an important role in software development in general. However, when it comes to big data applications, it is unclear which requirements engineering approaches apply. There is therefore a need to investigate this further. Objective: This study aims to answer the following research questions: (1) How are requirements engineering (RE) activities performed to address the needs of stakeholders in the context of big data? (2) How are users' perspectives addressed in the RE activities in a big data context? (3) What are the requirements engineering approaches that have been proposed for big data project development? Method: To address our three research questions, we conducted a systematic mapping study focusing on requirements engineering and the existing requirements engineering approaches in software engi
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