ACM Journal of Data and Information Quality

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Its mission is to publish high impact articles contributing to the field of data and information quality (IQ). 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 also need to provide valuable and relevant implications for applying their findings and solutions in practice. Given the diversity of disciplines and author interests, ACM JDIQ welcomes experience papers, typically submitted by a practitioner or industrial researcher, survey papers that provide a critical assessment of the state of the art on specific IQ topics while highlighting open research challenges, and short challenge papers that describe a major research challenge to the JDIQ community. ACM JDIQ is published on a quarterly basis. It also organizes special issues as part of the journal volume offering. ACM JDIQ special issues draw together a range of contributions on a given theme, and are an important mechanism for presenting a focused collection of significant work from areas of high innovation and activity to the Data Quality community. Starting from 2019, JDIQ welcomes a new type of invited contributions, called on the horizon papers. These manuscripts are written by top researchers in the field of Data Quality. They aim to introduce emerging new topics, their challenging aspects and envisioned solutions. They can be submitted by invitation only. JDIQ welcomes high-quality research contributions from the following areas, but not limited to: Data quality assessment Data quality metrics and frameworks Data profiling Error and anomaly detection Synthetic data and data synthesis Data provenance Probabilistic, incomplete and uncertain data Big data quality Data cleaning Data preparation and wrangling Entity matching, entity resolution, record linkage Data fusion Schema and ontology matching Data repair, augmentation, and imputation Data re-purposing Data quality and AI Data mining Data quality and machine learning Data quality and generative AI Data quality and representation learning Intelligent systems Automated planning and reasoning Federated learning Data poisoning Data governance Data quality standardization Responsible AI, bias and fairness Data quality policies and standards Legal aspects of data quality Maturity models Human-computer interaction Behavioral aspects of data quality Data privacy and access control Security evaluation Economics of data quality IQ education and curriculum development Data integration Data ecosystems Data acquisition Metadata management Web data management Semantic web and ontologies Information extraction Information foraging Multimodal data integration Knowledge graphs Knowledge representation and reasoning Application-specific data quality management Laboratory experimentation Healthcare and clinical data Financial data Social media data Multimedia and unstructured data Sensors and streaming data, IoT Robotic process automation Business process management Process mining</pre><div class="alert alert-warning"> Last updated by <a href="/researcher/1">Dou Sun</a> in 2024-08-09</div> </div> </div>  <div class="portlet" id="yw3"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-file"></i> Related Journals</div> </div> <div class="portlet-content"> <div class="hidden-phone"> <div id="yw4" class="grid-view"> <table class="table table-hover 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class="odd"> <td>ICIDS</td><td><a href="/conference/1505">International Conference on Interactive Digital Storytelling</a></td><td>2015-07-06</td><td>2015-11-30</td></tr> <tr class="even"> <td>ICONIP</td><td><a href="/conference/437">International Conference on Neural Information Processing</a></td><td>2024-05-31</td><td>2024-12-02</td></tr> <tr class="odd"> <td>DICTAP</td><td><a href="/conference/812">International Conference on Digital Information and Communication Technology and its Applications</a></td><td>2019-03-04</td><td>2019-04-03</td></tr> <tr class="even"> <td>CAV</td><td><a href="/conference/243">International Conference on Computer Aided Verification</a></td><td>2025-01-31</td><td>2025-07-21</td></tr> </tbody> </table><div class="keys" style="display:none" title="/journal/581"><span>375</span><span>620</span><span>546</span><span>540</span><span>3925</span><span>4039</span><span>1505</span><span>437</span><span>812</span><span>243</span></div> </div></div> </div> </div> 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