Special Issue "Quality Management in Big Data"
A special issue of Informatics (ISSN 2227-9709).
Deadline for manuscript submissions: closed (30 August 2017) | Viewed by 40046
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
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
Prof. Vlastislav Dohnal
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Informatics is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.