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Announcement: Early Bird Conference Registration Extended to August 25

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 9 here. Last updated 9-27-2017.


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


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


Friday Oct 6th Keynote: Data Governance and Data Capitalization in the Big Data Era

Speaker: Pieter De Leenheer

Pieter De Leenheer

Abstract: We live in the age of abundant data. Through technology, more data is available, and the processing of that data easier and cheaper than ever before. But to realize the true value of this wealth of data, data leaders must rethink our assumptions, processes, and approaches to managing, governing, and stewarding that data. And to succeed, they must deliver credible, coherent, and trustworthy data into the hands of everyone who can use it.

Bio: Pieter De Leenheer is a cofounder of Collibra and leads the company’s Research & Education group, including the Collibra University, which offers a range of self-paced learning and certification courses to help data governance professionals and data citizens gain new skills and expertise. Prior to co-founding the company, Pieter was a professor at VU University of Amsterdam. Today he still serves as adjunct professor at Columbia University in the City of New York and as visiting scholar at several universities across the globe including UC San Diego and Stanford.

Pieter was a key inventor of the principles and methods underpinning the visionary data governance platform technology of Collibra. He has authored more than 60 scientific publications, including five books on the topic of data governance, collective intelligence and semantics, as well as several technology patents. He holds a Master of Science degree in Artificial Intelligence and a Ph.D. in Computer Science, both from VUB University Brussels.

Pieter currently lives with his family in New York City.

Saturday Oct 7th Keynote: Infonomics: Understanding and Embracing Information as an Actual Economic Asset

Speaker: Doug Laney

Pieter De Leenheer

Abstract: In this keynote, Doug Laney will share highlights from his recently published book, Infonomics (Taylor and Francis, Sept 2017).

Infonomics is the theory, study, and discipline of asserting economic significance to information. It provides the framework for businesses to monetize, manage, and measure information as an actual asset.

Infonomics endeavors to apply both economic and asset management principles and practices to the valuation, handling, and deployment of information assets. As a leader in business, information, information technology, chances are you regularly talk about information as one of your most valuable assets. Do you value or manage our organization’s information like an actual asset? Consider your company’s well-honed supply chain and asset management practices for physical assets, or your financial management and reporting discipline. Do you have similar accounting and asset management practices in place for your “information assets?” The vast majority of organizations do not.

When strategizing how to put information to work for your organization, it’s essential to go beyond thinking and talking about information as an asset, to actually valuing and treating it as one. The discipline of infonomics provides organizations a foundation and methods for quantifying information asset value, generating measurable economic value from it, and formal information asset management practices. Infonomics posits that information should be considered a new asset class, yet with properties that qualify it to be accounted for and administered as any other recognized type of asset—and that there are significant strategic, operational, and financial reasons for doing so.

Infonomics provides the framework businesses and governments need to value information, manage it, and wield it as a real asset. Aptly, the topic coincides with the objectives and responsibilities of one of the hottest roles in businesses today: the chief data officer, or CDO. Most of the thousands of CDOs appointed in the past few years have been chartered with improving the efficiency and value-generating capacity of their organization’s information ecosystem. Infonomics represents a new way of thinking about and treating information with the same discipline as other, traditional assets that they and other leaders can use and help spread throughout their organizations.

BIO: Doug Laney is vice president and distinguished analyst with the Gartner Chief Data Officer (CDO) research and advisory team. Doug researches and advises clients on information monetization and valuation, open and syndicated data, analytics centers of excellence, data governance, and Big Data-based innovation. He has published hundreds of pieces on data and analytics strategy, authored the recent book, “Infonomics: How to Monetize, Manage and Measure Information for Competitive Advantage,” edited and co-authored an ebook on Big Data for the Financial Times, and is a two-time recipient of Gartner’s annual thought leadership award.

Around the turn of the millennium, Doug originated the field of Infonomics, developing methods to quantify and harvest information’s economic value, and positing how to apply traditional asset management practices to information assets. He lectures at leading business schools and conferences on the topic, and his articles have appeared in Forbes, Wall Street Journal and the Financial Times. Throughout his career Doug held leadership roles with global systems integrators and early-stage software companies, and has been a Gartner analyst for eleven years.

Doug lives outside Chicago with his wife and son where he bikes, cooks, plays competitive tennis and non-competitive golf, is a volunteer Junior Achievement instructor at local grammar schools, coaches area entrepreneurs, and sits on the University of Illinois Department of Accountancy advisory board.

Call for Proposals (Closed)

***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.

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

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

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

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