MCIS 2010 - 3rd International Workshop on Managing Data Quality in Collaborative Information Systems (MCIS2010)

Poor data quality is known to compromise the credibility and efficiency of commercial as well as public endeavours. Several developments from industry as well as academia have contributed significantly towards addressing the problem. These typically include analysts and practitioners who have contributed to the design of strategies and methodologies for data governance; solution architects including software vendors who have contributed towards appropriate system architectures that promote data integration and; and data experts who have contributed to data quality problems such as duplicate detection, identification of outliers, consistency checking and many more through the use of computational techniques. The attainment of true data quality lies at the convergence of the three aspects, namely organizational, architectural and computational.

At the same time, importance of managing data quality has increased manifold in today\'s global information sharing environments, as the diversity of sources, formats and volume of data grows. In this workshop we target data quality in the light of collaborative information systems where data creation and ownership is increasingly difficult to establish. Collaborative settings are evident in enterprise systems, where partner/customer data may pollute enterprise data bases raising the need for data source attribution, as well as in scientific applications, where data lineage across long running collaborative scientific processes needs to be established. Collaborative settings thus warrant a pipeline of data quality methods and techniques that commence with (source) data assessment, data cleansing, methods for sustained quality, integration and linkage, and eventually ability for audit and attribution.

The workshop will provide a forum to bring together diverse researchers and make a consolidated contribution to new and extended methods to address the challenges of data quality in collaborative settings. Topics covered by the workshop include at least the following:

1. Data integration, linkage and fusion
2. Entity resolution, duplicate detection, and consistency checking
3. Data profiling and measurement
4. Use of data mining for data quality assessment
5. Methods for data transformation, reconciliation, consolidation
6. Algorithms for data cleansing
7. Data quality and cleansing in information extraction
8. Dealing with uncertain or noisy data (e.g., sensor data)
9. Data lineage and provenance
10. Models, frameworks, methodologies and metrics for data quality
11. Application specific data quality, case studies, experience reports
12. User/social perceptive on data quality and cleansing
13. Data quality and cleansing for complex data (e.g. documents, semi-structured data, XMLs, multimedia data, graphs, biosequences, etc.)

Workshop Program
The full day workshop will consist of oral presentations, discussions, and invited talks. The workshop will also provide opportunity for demo sessions, where presenters can showcase advanced prototypes based on their research where applicable. More details will come after the paper submission.

Submission of Papers
Authors should submit papers reporting original works that are currently not under review or published elsewhere. The paper should be submitted in PDF format, with maximum length twelve (12) pages, following Springer-Verlag\'s LNCS manuscript submission guidelines, available at http://www.springer.de/comp/lncs/authors.html.

The submission site of MCIS 2010 is https://cmt.research.microsoft.com/MCIS2010/

Publication
Proceedings are planned to be published as a volume of Lecture Notes in Computer Science (LNCS) from Springer after the workshops. At the workshop site, we will hand out informal on-site proceedings to participants.

Important Dates
Dec. 11, 2009 Paper submission deadline
Feb. 12, 2010 Acceptance notification to authors
Feb. 26, 2010 On-site paper deadline
Apr. 26, 2010 Final camera-ready copy deadline
Apr. 4, 2010 Workshop

Program Committee
Adam Jatowt, Kyoto University, Japan
Bin Wang, Northeastern Univeristy, China
Cheqing Jin, East China Normal University, China
Lei Chen, Hong Kong University of Science and Technology
Jiuyong Li, University of South Australia, Australia
Jun Gao, Peking University, China
Qing Liu, CSIRO, Australia
Marek Kowalkiewicz, SAP Australia
Marta Indulska, University of Queensland
Mohamed Medhat Gaber, Monash University Australia
Wanita Sherchan, CSIRO Australia
Yanfeng Shu, CSIRO Australia

Workshop Organizers
Shazia Sadiq, Xiaofang Zhou, Ke Deng
School of Information Technology and Electrical Engineering
The University of Queensland, Brisbane, Australia
Inquiries: shazia, dengke, zxf-AT-itee.uq.edu.au

Xiaochun Yang
School of Information Science and Engineering,
Northeastern University, China
Inquiries: yangxc-AT-mail.neu.edu.cn