000			01114nam a22001817a 4500
005			20251126100059.0
008			251126b |||||||| |||| 00| 0 eng d
020			_a9783030280604
082			_a005.74 _bJIA-B
100			_aJianhui Li (Editor)
245			_aBig Scientific Data Management : _bFirst International Conference, BigSDM 2018, Beijing, China, November 30 – December 1, 2018, Revised Selected Papers
260			_aSwitzerland _bSpringer _c2019
300			_axiii, 332 p.
500			_aThe 24 full papers presented together with 7 short papers were carefully reviewed and selected from 86 submissions. The topics involved application cases in the big scientific data management, paradigms for enhancing scientific discovery through big data, data management challenges posed by big scientific data, machine learning methods to facilitate scientific discovery, science platforms and storage systems for large scale scientific applications, data cleansing and quality assurance of science data, and data policies.
650			_aData management
700			_a Xiaofeng Meng (Editor),
942			_cBK
999			_c46532 _d46532