The workshop website is at: http://computing.du.se/quat/quat2016/
The problem of data quality in data processing, data management, data analysis, and information systems largely and indistinctly affects every application domain, especially at the era of "Big Data". "Big Data" has the characteristics of huge volume in data and a great variety of structures or no structure. "Big Data" is increased at a great velocity everyday and may be less trustable. The use of big data underpins critical activities in all sectors of our society. Many data processing tasks (such as data collection, data integration, data sharing, information extraction, and knowledge acquisition) require various forms of data preparation and consolidation with complex data processing and analysis techniques. Achieving the full transformative potential of "Big Data" requires both new data analysis algorithms and a new class of systems to handle the dramatic data growth, the demand to integrate structured and unstructured data analytics, and the increasing computing needs of massive scale analytics. The consensus is that the quality of data and the veracity of data have to span over the entire process of data collection, preparation, analysis, modelling, implementation, use, testing, and maintenance, including novel algorithms and usable systems.
The QUAT workshop is a qualified forum for presenting and discussing novel ideas and solutions related to the problems of exploring, assessing, monitoring, improving, and maintaining the quality of data and trust for "Big Data". It is to provide the researchers in the areas of web technology, big data, data processing, e-services, data science, social networking, trust, information systems/technology and GIS a forum to discuss and exchange their recent research findings and achievements. The workshop is expected to have two types of papers, namely:
Topics include, but are not limited to, the following:
A full paper should not exceed 12 pages in LNCS (Lecture Notes in Computer Science) format. http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0
A short paper, mainly addressing the work-in-progress, should not exceed 6 pages still in LNCS format.
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0
Please follow the following instructions provided by Springer when preparing your camera ready. Please package all your submission files as one file (.rar or .zip).
The texts in all files must be identical.
All papers must be submitted in PDF format.
Please ensure that any special fonts are embedded in the submitted documents. It is essential that the submitted papers print without difficulty on a variety of printers using Adobe Acrobat Reader.
All submissions will be handled electronically. Each submission will be reviewed by at least three members of the program committee.
Submit you paper here at: the EasyChair conference paper submission website, https://easychair.org/conferences/?conf=quat2016
The workshop proceedings will be published as a part of the conference proceedings in LNCS, Springer. An extended version of the best papers, selected by the reviewers, will be considered for inclusion in a special issue of the international journals, International Journal of Web Services Research (IJWSR), International Journal of Knowledge Engineering and Data Mining (IJKEDM), and Journal of Intelligent Systems (indexed by SCI, ISI, EI, etc.) (A Special Issue of International Journal on Web Services Research, IJWSR indexed by SCI, had been successfully organized for the extended best papers for QUAT 2013.)
Prof. Deren Chen, Zhejiang University, China
Prof. William Song, Dalarna University, Sweden 
Prof. Xiaolin Zheng, Zhejiang University, China
Prof. Johan Håkansson, Dalarna University, Sweden,
Prof. Shaozhong Zhang, Zhejiang Wanli University, China
Dr. Roger G. Nyberg, Dalarna University, Sweden (Chair)
Dr. Zukun Yu (Chair)
Dr. Xiaofeng Du, British Telecom, UK (publicity) email: xiaofeng.du@bt.com
Xiaoyun Zhao, Dalarna University, Sweden (Webmaster at Dalarna University, Sweden)
Roger G. Nyberg, 
Adriana Marotta, amarotta@fing.edu.uy , Facultad de Ingeniería, Universidad de la República, ordinary PC member
Anders Avdic, aav@du.se , Dalarna University, ordinary PC member
Fei Chiang, fchiang@mcmaster.ca , McMaster University, ordinary PC member
Hasan Fleyeh, hfl@du.se , Dalarna University, ordinary PC member
Jacky Keung, Jacky.Keung@cityu.edu.hk , City University of Hongkong, ordinary PC member
Jun Hu, hujun@ncu.edu.cn , Nanchang University, ordinary PC member
Preben Hansen, preben@dsv.su.se , Stockholm University, ordinary PC member
Rajeev Agrawal, ragrawal@ncat.edu , North Carolina A&T State University, ordinary PC member
Shaozhong Zhang, dlut_z88@163.com , Zhejiang Wanli University, ordinary PC member
Sheng Zhang, zwxzs168@126.com , Nanchang Hangkong University, ordinary PC member
Xiaofeng Du, xiaofeng.du@bt.com , British Telecom, ordinary PC member
Xiaolin Zheng, xlzheng@zju.edu.cn , College of Computer Science & Technology, Zhejiang University, ordinary PC member
Yuansheng Zhong, yszhong@jxuef.edu.cn , Jiangxi University of Finance and Economics, ordinary PC member
Yuansheng Zhong, zhong_ys@hotmail.com , Jiangxi University of Finance and Ecomonics, ordinary PC member
Yuhao Wang, wangyuhao@ncu.edu.cn , Nanchang University, ordinary PC member
Zukun Yu, zukunyu@zju.edu.cn , Zhejiang University, ordinary PC member
Complex Systems & Microdata Analysis, Dalarna University, Sweden
E-Service Research Center, Zhejiang University, China
