Quality of data measurements in the big data era: Lessons learned from MIDAS project

Egileak: Gorka Epelde Unanue Andoni Beristain Iraola Roberto Álvarez Sánchez Mónica Arrúe Iker Ezkerra Oihana Belar Roberto Bilbao Gorana Nikolic Xi Shi Bart De Moor Maurice Mulvenna

Data: 01.10.2020

IEEE Instrumentation & Measurement Magazine


Abstract

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.

BIB_text

@Article {
title = {Quality of data measurements in the big data era: Lessons learned from MIDAS project},
journal = {IEEE Instrumentation & Measurement Magazine},
pages = {18-24},
volume = {23},
keywds = {
Data integrity, Information and communications technology, Data storage systems, Data visualization, Decision making, Measurement uncertainty
}
abstract = {

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.


}
doi = {10.1109/MIM.2020.9234761},
date = {2020-10-01},
}
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