JDIQ welcomes research contributions on the following areas, but not limited to:

 

Information Quality in the Enterprise Context

· Impact and role of information quality on business, work process and strategy

· Impact and role on a firm’s overall operational or economic performance, cost and benefits, IT management, human resource management

· Impact on knowledge management, customer management, supply-chain management, extended-enterprise management, and global management

· Impact and role of information quality on groups, organizations, and society

 

Database related technical solutions for Information Quality

· New types of database systems that manage data and uncertainty associated with the data (approximate, probabilistic, inexact, incomplete, imprecise, fuzzy, or inaccurate data)

· Data lineage and provenance

· Data cleaning

· Entity management, entity resolution, and records linking

· Enterprise architecture deployment

· Data integration processes

 

Information Quality in the context of Computer Science and Information Technology

· New ways of understanding, modeling, improving and incorporating information quality

· Technical solutions of information systems

· Technical layers of networks and communications

· Data Privacy and Protection mechanisms

 

Information Curation

· Standards and policies for ensuring information integrity for future generations

 

JDIQ plans to accept research conducted using various types of methods ranging from

positivists to interpretive methods, systems building descriptions, and database theory,

including statistical analysis, mathematical modeling, quasi experimental method,

hermeneutics, action research, and case study. JDIQ will accept diverse research methods

that are customary in different research backgrounds and traditions, both quantitative and

qualitative.

 

Research papers need to demonstrate the use of a rigorous method or methods. Research

papers also need to provide valuable and relevant implications for applying their findings and

solutions in practice.

 

JDIQ plans to publish high quality articles that make a significant novel contribution to the field

of data and information quality.  JDIQ will be a peer reviewed journal employing double blind

review mechanism. JDIQ will be a print publication and will aim for the same online capabilities as that of other ACM journals.  Full papers in JDIQ will be research papers, in addition there are plans to include one or two short concise papers in each issue. It is expected that the journal will be published quarterly.

 

AUTHORS

Authors for JDIQ submissions are invited from the entire data & information quality community, which spans multiple industries as well as the Computer Science, Information Systems, Operations Research, Bioinformatics, Healthcare, Management, and other disciplines. ACM members are certainly one pool from which authors will come. However, the information quality community is bigger than ACM. The number of conferences, websites, and books either

devoted to information quality or with close ties to data quality issues is growing, attesting to the

vitality, size, and interest in this area.

 

Sample articles published in other journals during the past ten years can be found at

http://web.mit.edu/smadnick/www/JDIQ/Sample%20Articles.htm

 

TIMETABLE

· Advertising and Call for Papers – Spring 2007

· First Issue Appears – 2008

 

SPECIAL ISSUES

 

In addition to its regular issue, JDIQ plans to publish from time to time special issues devoted to specific topics in the Data and Information Quality field. For more information about a special issues, please contact the JDIQ Editors-In-Chief.