Next Article in Journal
Recognition of Physical Activities from a Single Arm-Worn Accelerometer: A Multiway Approach
Previous Article in Journal
Data Provenance for Agent-Based Models in a Distributed Memory
Previous Article in Special Issue
A Data Quality Strategy to Enable FAIR, Programmatic Access across Large, Diverse Data Collections for High Performance Data Analysis
Article Menu

Export Article

Open AccessEditorial
Informatics 2018, 5(2), 19;

Quality Management in Big Data

Faculty of Informatics, Masaryk University, Brno 602 00, Czech Republic
Author to whom correspondence should be addressed.
Received: 11 April 2018 / Revised: 11 April 2018 / Accepted: 12 April 2018 / Published: 16 April 2018
(This article belongs to the Special Issue Quality Management in Big Data)
Full-Text   |   PDF [146 KB, uploaded 3 May 2018]


Due to the importance of quality issues in Big Data, Big Data quality management has attracted significant research attention on how to measure, improve and manage the quality for Big Data. This special issue in the Journal of Informatics thus tends to address the quality problems in Big Data as well as promote further research for Big Data quality. Our editorial describes the state-of-the-art research challenges in the Big Data quality research, and highlights the contributions of each paper accepted in this special issue. View Full-Text
Keywords: big data; quality management; data management; data quality big data; quality management; data management; data quality
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Ge, M.; Dohnal, V. Quality Management in Big Data. Informatics 2018, 5, 19.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Informatics EISSN 2227-9709 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top