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Announcement: Early Bird Conference Registration Open

22nd annual MIT International Conference on Information Quality


October 6 - 7, 2017. Hosted by the University of Arkansas at Little Rock


View or download MIT ICIQ 2017 Agenda Version 6 here. Last updated 8-2-2017.


Early bird registration now open. Register by following this link.

Submission Guidelines (Closed)

The deadline for submissions is now closed. Submission Guidelines and Final Formate Template are available for reference.

Submission Guidelines PDF format

Final Format Template DOC format

Call for Proposals

***PDF Version***

Last updated March 27, 2017

The MIT International Conference on Information Quality (ICIQ) held annually since 1995 is the premier conference in the field of information and data quality. ICIQ attracts researchers and practitioners from around the globe. In 2017 the conference will be held on the campus of the University of Arkansas at Little Rock (UALR) on October 6-7, 2017. UALR is the only university in the United States to offer masters and doctoral degrees in information quality. The UALR Information Quality Graduate Program resides in the Donaghey College of Engineering and Information Technology, which also houses the UALR Institute for Chief Data Officers.

The discipline of Information and Data Quality continues to mature as organizations recognize information to be among their most important assets. This is reflected in the growing adoption of governance programs as a way to assure that information is managed as an asset.

However, an information quality and governance program will not by itself guarantee success. It requires leadership and ownership by business at the executive level. In many data-driven enterprises, this leadership, vision, and strategy reside with the Chief Data Officer (CDO).

For these reasons, the theme of ICIQ 2017 is “Focus on Value and Strategy” Value and strategy from data provisioning, data cleansing, data transformation, and data integration to building an effective data governance program, and investing in IQ education and training, change management, DQ metrics, and information privacy and security. The conference program will feature tracks of research papers, practice-oriented papers, and panel sessions.


May 31, 2017: Submission Deadline (Extended)

July 14, 2017: Notification of acceptance

August 14, 2017: Camera-ready copy due

October 6-7, 2017: MIT ICIQ Conference

Topics of Interest

Corporate and Orginizational Strategies for IQ

The role of the Chief Data Officer (CDO)

IQ Management and Data Governance

Alignment of IQ with Business Strategies

Business Process Performance

IQ Assessment, Policies, and Standards

Cost/Benefit Analysis of IQ

Methods, Concepts, and Tools for

IQ Concepts, Metrics, Measures, and Models

Method Engineering for IQ

Trust, Knowledge, and Society

Data Provenance and Annotation

Information Product Theory and Practice

Metadata and IQ

IQ Education and Training

Technologies for IQ Improvement and Assurance

Data Scrubbing and Cleansing

Record Linkage and Entity Resolution

Unstructured and Extracted Data

Probabilistic, Fuzzy, and Uncertain Data

Sensor Networks and Information Fusion

Privacy & Security Issues

IQ Cases and Applications Involving

Social Media Data and e-Business

Data Warehousing and Business Intelligence

Master Data Management

Healthcare, Scientific, or Biometric Data

Community Input, Crowd Sourcing

Other Case Studies or Experience Reports


MIT ICIQ-2017 Conference Co-Chairs

Dr. Richard Wang, Massachusetts Institute of Technology,

Dr. John R. Talburt, University of Arkansas at Little Rock,

Program Co-Chairs

Dr. Ningning Wu, University of Arkansas at Little Rock,

Dr. Fumiko Kobayashi, Black Oak Analytics,

MIT ICIQ-2017 Program Committee

Ahmed Abu Halimeh, American University of the Middle East AUM

Jacky Akoka, National Conservatory of Arts and Crafts, France

Cesar Arturo Guerra Garcia, Universidad Politécnica San Luis Potosí, Mexico

Irit Askira Gelman, Univeristy of Arizona

David Becker, Systems Analysis and Consulting

Laure Berti-Equille, Institut de Recherche pour le Development, France

Brian Blake, University of Arkansas at Little Rock

Alexander Borek, Volkswagen Group, Germany

Mathias Brochhausen, University of Arkansas for Medical Sciences

Cinzia Cappiello, Politécnico di Milano, Italy

InduShobha Chengalur-Smith, SUNY at Albany

Bruce Davidson, Healthcare Consulting

María Espona, Asociación Argentina de Calidad de Información

Christopher Heien, AIG

Greg Holland, Arkansas Research Center

Cao Jianjun, Nanjing Telecommunication Technology Institute, China

Sunho Kim, Myongji University, Korea

Timothy King, Babcock Analytic Solutions, United Kingdom

Hiroshi Koga, Tokyo Dental College, Kansai University, Japan

Andy Koronios, University of South Australia

Melody Penning, University of Arkansas for Medical Science

Barbara Perinici, Politécnico di Milano, Italy

Elisabeth Pierce, University of Arkansas at Little Rock

Mark Ramsey, GlaxoSmithKline

Tom Redman, Navesink Consulting Group

Shazia Sadiq, The University of Queensland, Australia

Valerie Sessions, Charleston Southern University

Ganesan Shankaranarayanan, Babson College

Anne Marie Smith, EWSolutions, Inc.

Qin Su, Xi’an Jiaotong University, Xi’an, China

Arun Sundararaman, Accenture, India

Giri Kumar Tayi, State University of New York at Albany

Kim Tran, University of Arkansas at Little Rock

Mihail E. Tudoreanu, University of Arkansas at Little Rock

Cihan Varol, Sam Houston State University

Therese, Williams, University of Arkansas at Little Rock

Philip Woodall, Cambridge University, United Kingdom

C. Lwanga Yonke, Aera Energy LLC

Yinle Zhou, IBM

Hongwei Zhu, University of Massachusetts Lowell

Meredith Zozus, University of Arkansas for Medical Sciences

ICIQ Sponsors

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