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JDIQ welcomes high-quality research contributions from the following areas, but not limited to:
JDIQ welcomes three types of articles: research papers, experience papers, and challenge papers. Below these descriptions please find general submission guidelines.
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:
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:
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.
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:
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 two-page submissions (Challenge papers) addressing the following:
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:
We look forward to insightful manuscripts, invigorating challenges and creative solutions! The submission should go through the usual submission system at http://mc.manuscriptcentral.com/jdiq.
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 http://mc.manuscriptcentral.com/jdiq. 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's single-blind review process is explained here along with ACM's relevant policies.
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.
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Authors can post an Author-Izer link enabling free downloads of the Definitive Version of the work permanently maintained in the ACM Digital Library.
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 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.
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