Background: In Fall 2006 the Publications Board of the Association of Computing Machinery (ACM) officially approved the launch of a new journal devoted to data and information quality issues. The new ACM Journal of Data and Information Quality (JDIQ) grew out of the efforts initiated by the MIT Information Quality Program (http://MITIQ.MIT.EDU) and the International Conference on Information Quality (http://www.IQConference.org).

 

Mission: JDIQ’s mission is to publish high quality articles that make a significant and novel contribution to the field of data and information quality. JDIQ is a peer reviewed journal employing a double blind review mechanism. JDIQ offers the same print and online capabilities as that of other ACM journals. Full papers in JDIQ will be research papers; however, there are plans to include one or two short concise papers in each issue. This journal is published quarterly.

 

Scope: 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

 

Research Methodology: JDIQ accepts research conducted using a wide variety of methods ranging from positivists to interpretive methods, systems building descriptions, and database theory, as well as statistical analysis, mathematical modeling, quasi experimental methods, hermeneutics, action research, and case study. JDIQ accepts 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.