Quality Management in Big Data
A special issue of Informatics (ISSN 2227-9709).
Deadline for manuscript submissions: closed (30 August 2017) | Viewed by 59134
Special Issue Editors
Interests: data quality management; big data; business intelligence; information system success
Interests: database systems; similarity searching; storage structures for non-traditional data; similarity-based data analytics
Special Issue Information
Dear Colleagues,
This Special Issue of Informatics intends to attract submissions on the topic of quality issues in Big Data. In the era of Big Data, organizations are dealing with tremendous amounts of data. These data are fast-moving and can originate from various sources, such as social networks, unstructured data from different websites, or raw feeds from sensors. Big Data solutions are used to optimize business processes and reduce decision-making times, so as to improve operational effectiveness. Big Data practitioners are, however, experiencing a huge number of data quality problems, which can be time-consuming to solve, or can even lead to incorrect data analytics. How to manage quality in Big Data has become quite challenging, and research, so far, can only address limited aspects. In particular, given the complex nature of Big Data, one cannot simply apply traditional data quality management to Big Data Quality Management. Therefore, it creates new challenges for researchers and practitioners to address quality management in Big Data. Hereby, we encourage authors to submit their original research articles, work-in-progress papers, surveys, reviews, and viewpoint articles in this field. Topics of interest include, but are not limited to:
- Big Data Quality Metrics, Measures, and Models
- Big Data Governance
- Big Data Quality in Business Process
- Master Data Management in Big Data
- Quality Assessment for Big Data
- Determining Value of Big Data
- Data and Information Quality
- Risk Management in Big Data
- Data Integration in Big Data
- Data Cleansing in Big Data
- Big Data Quality and Analytics
- Big Data Quality and Internet of Things
- Big Data Quality Management Processes, Frameworks and Models
Dr. Mouzhi Ge
Guest Editor
Prof. Vlastislav Dohnal
Co-Guest Editor
Manuscript Submission Information
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