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Data and Information Quality (JDIQ)

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The mission of ACM Journal of Data and Information Quality (JDIQ) is to publish high quality articles that make a significant and novel contribution to the field of data and information quality. JDIQ welcomes research contributions on the following areas, but not limited to: Information Quality in the Enterprise Context; Database related technical solutions for Information Quality; Information Quality in the context of Computer Science and Information Technology; Information Curation.

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.

Quality Metrics
JDIQ's mission is to publish high quality articles that make a significant and novel contribution to the field of data and information quality. While no single metric can measure impact and relevance of JDIQ we provide some indicators.

Acceptance rate
Since its inauguration in 2008, JDIQ has accepted approximately 20% of the submitted papers.

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