title: Data Quality Assessment
author:  Arkady Maydanchik 
description: DATA QUALITY ASSESSMENT is an excellent book and a must read for any data quality professional. Arkady packs years of experience in data quality into comprehensive step-by-step instructions for practitioners of all levels. --R. Michael Levin, Sr. Database Architect, Lockheed Martin<br /><br />DATA QUALITY ASSESSMENT is an excellent book and a must read for any data quality professional. Arkady packs years of experience in data quality into comprehensive step-by-step instructions for practitioners of all levels. --R. Michael Levin, Sr. Database Architect, Lockheed Martin
zlib_text: © The Author(s) 2018
  
  Thomas Hoeren and Barbara Kolany-Raiser (eds.)Big Data in
  ContextSpringerBriefs in
  Law[https://doi.org/10.1007/978-3-319-62461-7_1](A450178_1_En_1_Chapter.html)
  
  # Big Data and Data Quality
  
  Thomas Hoeren1
  
  (1)
  
  Institute for Information, Telecommunication and Media Law (ITM), University
  of Münster, Münster, Germany
  
  Thomas Hoeren
  
  Email: [hoeren@uni-muenster.de](mailto:hoeren@uni-muenster.de)
  
  Abstract
  
  Big data is closely linked to the new, old question of data quality. Whoever
  pursues a new research perspective such as big data and wants to zero out
  irrelevant data is confronted with questions of data quality. Therefore, the
  European General Data Protection Regulation (GDPR) requires data processors to
  meet data quality standards; in case of non-compliance, severe penalties can
  be imposed. But what does data quality actually mean? And how does the quality
  requirement fit into the dogmatic systems of civil and data protection law?
  
  
  Prof. Dr. Thomas Hoeren,
  
  pro