Z. Qi, L. Xuelong
Jan 2, 2019
Citations
1
Influential Citations
8
Citations
Journal
Big Earth Data
Abstract
Big data research is a developing field that is bringing change to people’s lives. Big data is an inevitable outcome of the development of science: scientific research has resulted in the accumulation of a large amount of data and conventional methods cannot handle such massive amounts of data. Therefore, alternatives such as big data, cloud computing, artificial intelligence, and blockchain have emerged. As a new strategic resource for human beings, big data has become a strategic highland in this era of the knowledge economy. It has caused the transformation of scientific methodology and is becoming the new driver of scientific discovery. Scientific big data is an important branch of big data. As used in computational analysis, scientific big data is characterized by its non-reproducibility, high degree of uncertainty, high dimensionality, and high complexity. External characteristics include the data type, data volume, data acquisition, and data analysis. All these characteristics make big data a new challenge for conventional data processing techniques and methods. Thus, we make four recommendations for new methods of processing scientific big data: (1) the scientific recognition of scientific big data, (2) the construction of infrastructure to handle scientific big data, (3) the establishment of a scientific data research center, and (4) the construction of a scientific big data academic platform. Human beings have entered the era of big data. The objective of big data research is to exploit data using the computer as its tool. Big data research progresses via the determination of correlations between data and is characterized by decision-making based on high probability.