The impact of big data on scientific research is far-reaching. It not only changed the method of scientific research, but also promoted the development of scientific research. The following are some major impacts:
1. Transformation of research paradigm: In the era of big data, a new research paradigm-"data paradigm" appeared in scientific research, which is different from the "knowledge paradigm" used in traditional scientific research. This new research paradigm emphasizes the importance of data, making data analysis, model construction and calculation the core part of scientific research.
2. Provide new research opportunities: Big data has brought new opportunities to various disciplines, such as meteorology and environment, biology and medicine, and researchers can use big data for more in-depth research and analysis.
3. Challenges and opportunities coexist: Although big data provides new opportunities for scientific research, it also brings challenges. Such as data collection, storage, calculation and so on, and how to process and analyze these massive data. In addition, the challenge in the era of big data is that the contradiction between traditional knowledge and emerging data in various disciplines is increasingly prominent, and traditional knowledge cannot explain and effectively use emerging big data, thus promoting revolutionary changes in traditional theories and methods.
4. Strengthen the connection of scientific research resources: In the era of big data, the connection between scientific research and technical means is closer, and the monopoly of scientific research resources may intensify. Whether scientists can enter the research platform of big data depends on whether massive scientific research data is open or not, and also depends on whether there are corresponding technologies and equipment to obtain and process these data.
Therefore, the impact of big data on scientific research is all-round, bringing both new opportunities and new challenges.