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ACM Journal of Data and Information Quality (ACM JDIQ) welcomes high-quality research contributions on the following areas, but not limited to:

  • Information quality in the enterprise context
  • Database-related inquiries and solutions for information quality
  • Information quality in the context of:
    • information technology and computer science
    • organizations and society
    • socio-economic environment
    • supply-chain, healthcare, financial activities
    • globalization, sustainability, innovation, standards, information policies and strategies

ACM JDIQ welcomes research conducted using a wide variety of research methods ranging from empirical, interpretive, design science, experimental, action research, grounded theory, case studies, to mathematical modeling. ACM JDIQ welcomes diverse research methods that are customary in different research backgrounds and traditions, both quantitative and qualitative. ACM JDIQ also welcomes cases (business cases) written for use in classroom discussion. For inquiries, email Editors-in-Chief Yang Lee (ylee@mit.edu ) or Stuart Madnick (smadnick@mit.edu).


   





M.I.T. Information Quality Program
Massachusetts Institute of Technology
Cambridge, MA 02139-4307 U.S.A.




   
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