EIT Building | 2801 South University Avenue | Little Rock, AR 72204

22nd annual MIT International Conference on Information Quality


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

Submission Guidelines

Below are links to submission guidelines, a template for formatting the final submission, as well as a link to submit using Microsoft CMT.

Submission Guidelines PDF format

Final Format Template DOC format

To submit, visit

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 15, 2017: Submission Deadline

July 14, 2017: Notification of acceptance

August 14, 2017: Camera-ready copy due

October 6, 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

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,