Big Data Research ›› 2019, Vol. 5 ›› Issue (6): 30-46.doi: 10.11959/j.issn.2096-0271.2019048

• TOPIC:BIG DATA WRANGLING • Previous Articles     Next Articles

Data curation technologies and applications

Minghe YU1,2,Tiezheng NIE3,Guoliang LI4   

  1. 1 Software College of Northeastern University,Shenyang 110169,China
    2 Guangdong Province Key Laboratory of Popular High Performance Computers,Shenzhen 518060,China
    3 School of Computer Science and Engineering,Northeastern University,Shenyang 110169,China
    4 Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China
  • Online:2019-11-15 Published:2020-01-10
  • Supported by:
    China Postdoctoral Science Foundation(2019M651134);Guangdong Province Key Laboratory of Popular High Performance Computers(2017B030314073);Fundamental Research Funds for the Central Universities(N181703006)

Abstract:

Data curation is emerged in order to process,store and applied efficiency.Data curation processes active and continuous management the data through the whole lifecycle of it.And utilizing data curation techniques,data could be used to the maximum extent,and the speed of its elimination can be effectively slowed down.The process and key techniques of data curation aroundits goals,solutions and applications were described.For the crucial techniques,existing solutions were analyzed and introduced.In addition,the applications of data curation in the various domains were also introduced and compared.Finally,the development prospect and future challenges were expounded.

Key words: data curation, data cleaning, data integration, metadata management, provenance management

CLC Number: 

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