Quality of Data Measurements in the Big Data Era: Lessons Learned from MIDAS Project

Gorka Epelde, Andoni Beristain, Roberto Álvarez, Mónica Arrúe, Iker Ezkerra, Oihana Belar, Roberto Bilbao, Gorana Nikolic, Xi Shi, Bart De Moor, Maurice Mulvenna

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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.
Original languageEnglish
Article number9234761
Pages (from-to)18-24
Number of pages7
JournalIEEE Instrumentation and Measurement Magazine
Volume23
Issue number7
DOIs
Publication statusPublished - 20 Oct 2020

Keywords

  • Data integrity
  • Information and communications technology
  • Data Storage Systems
  • Data Visualization
  • Decision Making
  • Measurement uncertaintyMeasurement uncertaintyMeasurement uncertaintyMeasurement uncertaintyMeasurement uncertaintyMeasurement uncertaintyMeasurement uncertainty

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