-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] MIT ICIQ 2017 Call for Papers Datum: Tue, 11 Apr 2017 13:37:03 -0500 Von: Ningning Wu nxwu@ualr.edu An: aisworld@lists.aisnet.org, dbworld@cs.wisc.edu
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MIT ICIQ 2017 OCTOBER 6 - 7, 2017 http://www.iciq.us/2017/index.html
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.
IMPORTANT DATES 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, rwang@mit.edu Dr. John R. Talburt, University of Arkansas at Little Rock, jrtalburt@ualr.edu
PROGRAM CO-CHAIRS Dr. Ningning Wu, University of Arkansas at Little Rock, nxwu@ualr.edu Dr. Fumiko Kobayashi, Black Oak Analytics, fkobayashi@blackoakgroup.com _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org