Data and Information Quality (JDIQ)


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Author Guidelines


JDIQ welcomes high-quality research contributions from the following areas, but not limited to:

  • Concepts, Methods and Tools
    • Data and information quality metrics and measures
    • Big data quality
    • Data provenance and annotation
    • Metadata quality
    • Privacy preservation and security
    • Data quality frameworks and platforms
  • Organizations and IQ
    • Alignment of IQ and strategy
    • Impact of IQ within business processes
    • Business intelligence and IQ
    • Corporate data governance and trust
    • IQ Policies and standards
    • IQ Education and curriculum development and case studies
  • Measurement, Improvement, and Assurance of IQ
    • Data wrangling and cleaning and pre-analytics
    • Information integration and fusion
    • Record linkage and entity resolution
    • IQ assessment
    • Cost/benefit analysis of IQ improvement
  • Information Quality for Specialized Domains and Applications
    • Unstructured and semi-structured data
    • Probabilistic, incomplete and uncertain data
    • Web and social media data
    • e-Commerce and data analytics
    • Sensors and streaming data
    • Community input, Pay as You Go, and crowdsourcing
    • Scientific and statistical data

Article types

JDIQ welcomes three types of articles: research papers, experience papers, and challenge papers. Below these descriptions please find general submission guidelines.

Research papers

JDIQ accepts high quality research articles that make a significant and novel contribution to the field of data and information quality. Papers can range from from theoretical research to algorithmic solutions to empirical research to experiential evaluations. Submissions to ACM JDIQ will be reviewed using the following criteria:

  • Relevance to Data and Information Quality.
  • Significance of the contribution with respect to originality of the problem and novelty of the solution.
  • Suitable grounding in theory and the current literature.
  • Appropriate research methods.
  • Readability and organization of the manuscript.

A submission based on one or more papers that appeared elsewhere should have major value-added extensions over what appeared previously. Widely disseminated (available on the Web), peer-reviewed conference or workshop papers, in addition to journal papers, are considered publications, but technical reports and CoRR articles (neither of which are peer-reviewed) are not. Nevertheless, all overlapping papers appearing in workshops, proceedings, or newsletters should be disclosed to the Editor-in-Chief. If a submitted manuscript is based on one or more previous publications by one or more of the authors, it should have at least 30% new content. Such submissions must include a cover letter that provides the following:

  • - A detailed breakdown of the sections/pages that have been significantly modified or extended (from prior manuscripts).
  • - A list of novel contributions specific to this manuscript.

Please include the cover letter as the first page(s) of the submitted manuscript.

JDIQ recommends that the final version of research papers should be between 20 to 25 single-spaced pages.

Experience papers

Given the diversity of data quality issues, the broad range of interests of JDIQ authors and readers, and the importance of addressing real world problems, we have decided to include a small number of experience papers to better serve our target audience.

A typical experience paper may be submitted by a practitioner or industrial researcher who has a compelling application or interesting dataset to share with our readers. Another scenario would be a researcher in a computer science or business discipline whose research happens to involve data and data quality challenges. The practitioner may not be interested in extending her research into a full research paper. Similarly, the researcher from a specific domain may have already published a reference paper in a different journal and may wish to publish a shorter companion paper about the specific data quality challenges. An experience paper may also be used to present a teaching case.

We emphasize that experience papers must meet the high expectations of all JDIQ papers and make significant contributions to the discipline, e.g., a compelling application and/or an extensive evaluation and/or results that are generalizable across multiple datasets and/or a strong educational component. Experience papers must satisfy the following criteria:

  • Title: Mandatory "Experience:" prefix in the title.
  • Page limit: 10 pages with an option of an online-only supplement.
  • Online supplement: All papers may include an online only supplement. This option is of greater importance for experiences papers, to allow the inclusion of data, experimental results, screenshots, questionnaires, etc.
  • Reviewing criteria: :A standard reviewing process will be followed with three or more? reviewers including both academic and industrial / practitioner reviewers. The following reviewer criteria will be applied:?
  • Does the paper specify the data quality problem clearly??
  • Does the paper explore multiple aspects of the current solutions? Do the authors provide details of the shortcomings??
  • Do the authors provide insights into solutions or do they provide a solution? Is it convincing??
  • How generalizable is the problem and solution beyond this specific scenario and domain?

Challenge papers

As part of our editorial mission for the ACM Journal of Data and Information Quality (JDIQ) we would like to introduce our readers to open challenges in data quality and spur discussions that will potentially lead to new research and solutions. We ask you to share your expertise and insights with the community. We will collect these contributions as articles to be published in selected issues in an ongoing fashion.

For these reasons, we invite three-page submissions (Challenge papers) addressing the following:

  • What is an important data and information quality-related challenge facing organizations today?
  • Why is this important?
  • How might this challenge be solved? We expect descriptions of open challenges that are not yet solved.

We expect the vision-type manuscript to describe a particularly challenging problem on the first page and to discuss possible solutions on the second. Of course we want our questions to be very broadly interpreted, ranging across (and beyond) the entire set of JDIQ-relevant topics listed here above. Challenge papers must satisfy the following criteria:

  • Title: The title should indicate that it is a challenge paper.
  • Page limit: 2 pages with an option of an online-only supplement. An abstract is not needed
  • Reviewing: We plan a speedy reviewing process with two or more reviewers.

We look forward to insightful manuscripts, invigorating challenges and creative solutions! The submission should go through the usual submission system at

Special Issues

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

Submission Guidelines

Formatting guidelines are available for LaTeX and Word documents. Please use the choice "Small Standard Format". Additional material can be placed in an electronic appendix, for which there is no apriori length restriction. Please note that formatting assistance is provided at no charge to authors by Aptara, as specified on the author style guide pages. Manuscripts must be written in English.

Manuscripts must be submitted through Manuscript Central, ACM's submission management system, at If it is your first time submitting a paper using this system, you will need to create a new account (instructions at the website); otherwise, enter your login and password and follow the instructions. Authors are expected to keep the ManuscriptCentral system up to date with any change in contact information.

An important aspect of preparing your paper for publication by ACM Press is to provide the proper indexing and retrieval information from the ACM Computing Classification System (CCS). This is beneficial to you because accurate categorization provides the reader with quick content reference, facilitating the search for related literature, as well as searches for your work in ACM's Digital Library and on other online resources. Please read the HOW TO CLASSIFY WORKS USING ACM'S COMPUTING CLASSIFICATION SYSTEM (pdf) for instructions on how to classify your document using the 2012 ACM Computing Classification System and insert the index terms into your LaTeX or Microsoft Word source file.

  • JDIQ encourages submissions that have not been published or submitted elsewhere, as specified in ACM's Plagiarism Policy and ACM's Author Representations.
  • JDIQ will publish occasional special issues to provide a timely boost to promising areas of research and development, or a timely consolidation of the results in other areas. Guest Editors will be invited to organize such issues.

JDIQ's single-blind review process is explained here along with ACM's relevant policies.

ACM Author-izer Service

Once your manuscript is published, we recommend that you use the ACM Author-Izer service. This service allows you to generate and post a link on your home page or institutional repository to your published article. This link will let any visitors to your personal bibliography pages download the definitive version of the articles for free from the ACM DL. These downloads will be recorded as part of your DL usage statistics. A detailed description of the service and instructions for its use may be found at:

ACM Computing Classification System (CCS)

An important aspect of preparing your paper for publication by ACM Press is to provide the proper indexing and retrieval information from the ACM Computing Classification System (CCS). This is beneficial to you because accurate categorization provides the reader with quick content reference, facilitating the search for related literature, as well as searches for your work in ACM's Digital Library and on other online resources.

Language Service

ACM has partnered with American Journal Experts (AJE) to provide language editing (and translation) services to ACM authors. AJE has helped thousands of researchers around the world to present their research in polished English suitable for publication in journals such as those published by ACM. Editing is available for both Word and LaTeX files.

To take advantage of this partnership, visit When using this link, you will get a 15% discount for all AJE services. (Editing services are at author expense and do not guarantee publication of a paper.)


Word Template Page

LaTeX Template Page

For further assistance

  • Questions regarding editorial review process should be directed to the Editor-in-Chief.
  • Questions regarding the post-acceptance production process should be addressed to the Journals Manager, Laura A. Lander.
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