Papers must be written in English.

An electronic version (Postscript, PDF, or MS Word format) of the full paper should be submitted online by uploading to the submission website.


Manuscript must include a 200-word abstract and no more than 6 pages of 2-column (including figures and references) formatted in the format of IEEE Manuscript for Conference Proceedings. Authors must follow IEEE Proceedings Author Guidelines to prepare papers.

Types of papers

Being an exchange platform for researchers and practitioners to discuss real issues, lessons, and innovative ideas and on-going research work related to data quality and applications, the workshop particularly encourages works inspired by practical studies with real world interactions. Two types of papers are sought after and will be reviewed with different criteria.

Research papers: A research paper should report original research work on the related topics. It must have not been published or submitted for publication elsewhere.

Practical Study papers: A practical study paper should report experiences and lesson learned in practice, and experiments and empirical studies on big data projects.

Paper Review and Publication

All submitted papers will be reviewed by the workshop PC members. Each paper will be reviewed at least by three reviewers. All accepted papers will be included in the proceedings of IEEE Smart World Congress 2017, published by IEEE and included in the IEEE Xplore Digital Library. At least one author of each accepted paper must attend the workshop to present the work. Selected best papers (extended versions) will be published in journals.

Journal Special Issues

The authors of selected best papers will be invited to submit extended and revised versions of the workshop papers to journal special issues. The following journals have been contacted and provisionally agreed to host a special issue.

• International Journal of Information Management (IF: 2.692), ELSEVIER, ISSN: 0268-4012.

• Software: Practice and Experience (IF:0.652 ), John Wiley & Sons Ltd, ISSN: 1097-024X (electronic version).

• International Journal of Data Science and Analytics, Springer International Publishing, ISSN: 2364-415X (print version), ISSN: 2364-4168 (electronic version)