大数据开源集成的风险识别与管控定则

Risk Identification and Control Rules of Big Data Open-source Integration

大数据开源集成在推进零界域信息联动与灵活的集智创新、提升分享型智能参与者的核心竞争力、揭示动态社交爆发轨迹的同时,暴露出自动化数据分析突破匿名算法、类型化量级处理导致差别待遇、分布式幂律评测制约创新思维等严重问题。亟待构筑以透明仓储、脱敏挖掘、无害流转等为核心的风险管控定则模型,实现万物互联中均衡各方利益的良性循环。

Big data open-source integration promotes information linkage and innovation by collective wisdom,enhances core competitiveness of sharing participants,and reveals the bursts trajectory in social communication. However,the big data opensource integration exposes risks which include braking unnamed algorithm through automatically data analysis,causing discrimination through typed assessment and forecasts,and restricting creativeness through distributed power laws assessment. It is urgent to achieve a virtuous cycle of balancing parties＇ interests in interconnection of everything by constructing the risk control model with focus on transparent data storage,data mining without sensitive information,and data circulating inoffensively.