As the new round of scientific and technological revolution and the industrial transformation accelerate, data has become a new key factor of production, profoundly changing the way of production, life, and social governance. Constructing a data space to promote the safe and orderly circulation of data and the efficient realization of data values has been highly concerned by all sectors of society. This study sorts out the relevant research and practical experiences in data space in China and abroad, and proposes four types of data space from a driving factor perspective: strategy-leading, technology-driven, demand-driven, and ecological-enabling. Additionally, it summarizes four construction modes: "government-led + data infrastructure," "technology innovation + data development and utilization," "scenario-driven + industrial transformation and upgrading," and "service cooperation + digital city construction." Furthermore, the following suggestions are proposed: improving the policy support mechanism, strengthening key technologies, deepening the development of application systems, and launching pilot demonstration projects, thus to provide references for China to construct an internationally advanced data space with Chinese characteristics.