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Quality of data measurements in the big data era: Lessons learned from MIDAS project
IEEE Instrumentation & Measurement Magazine ( IF 2.1 ) Pub Date : 2020-10-01 , DOI: 10.1109/mim.2020.9234761
Gorka Epelde , Andoni Beristain , Roberto Alvarez , Monica Arrue , Iker Ezkerra , Oihana Belar , Roberto Bilbao , Gorana Nikolic , Xi Shi , Bart De Moor , Maurice Mulvenna

In recent years, digitalization of traditional manual processes with a tendency towards a sensorized world and person-generated information streams has led to a massive availability and exponential generation of heterogeneous data in most areas of life. This has been facilitated by the cost reduction and capability improvements of Information and Communications Technology (ICT) for storage, processing and transmission.

中文翻译:

大数据时代的数据测量质量:MIDAS 项目的经验教训

近年来,传统手动流程的数字化趋势趋向于传感世界和个人生成的信息流,导致生活的大多数领域中异构数据的大量可用性和指数生成。这得益于信息和通信技术(ICT)在存储、处理和传输方面的成本降低和能力改进。
更新日期:2020-10-01
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