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
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
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.
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.
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
Dr. Richard Wang, Massachusetts Institute of Technology, email@example.com
Dr. John R. Talburt, University of Arkansas at Little Rock, firstname.lastname@example.org
Dr. Ningning Wu, University of Arkansas at Little Rock, email@example.com
Dr. Fumiko Kobayashi firstname.lastname@example.org
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