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

Research output: Contribution to journalArticlepeer-review

16 Downloads (Pure)


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
Issue number7
Publication statusPublished - 20 Oct 2020

Bibliographical note

Funding Information:
Many authors and organizations have described different definitions of dimensions for data quality assessment, reported in [1], [5], [6], to reference a few of them. As an example of this discrepancy, DAMA UK Working Group [5] defined them as: completeness, uniqueness, timeliness, validity, This work was supported by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No. 727721 (MIDAS) and by the Gipuzkoan Science, Technology and Innovation Network Programme funding of the HIDRA project.

Publisher Copyright:
© 1998-2012 IEEE.

Copyright 2020 Elsevier B.V., All rights reserved.


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


Dive into the research topics of 'Quality of Data Measurements in the Big Data Era: Lessons Learned from MIDAS Project'. Together they form a unique fingerprint.

Cite this