Journal of Data and Information Quality
JDIQ publishes high quality articles that make a significant and novel contribution to the field of data and information quality. JDIQ issues are available online and in print.
- ICIQ 2015, the International Conference on Information Quality, will take place on July 24 in Cambrigde, MA at the MIT.
- Experience and Challenge papers: JDIQ now accepts two new types of papers. Experience papers describe real-world applications, datasets and other experiences in handling poor quality data. Challenges papers briefly describe a novel problem or challenge for the IQ community. See calls for papers for details.
- Special Issue on Provenance and Quality of Data and Information: The term provenance refers broadly to information about the origin, context, derivation, lineage, ownership or history of some artifact. The provenance of data is more specifically a form of structured metadata that records the activities involved in data production. The notion applies to a broad variety of data types, from database records, to scientific datasets, business transaction logs, web pages, social media messages, and more. At the same time, different definitions and measures of quality apply to each of these data types, in different domains.
The JDIQ guest editors are Paolo Missier (Newcastle University, UK, email@example.com) and Paolo Papotti (Qatar Computing Research Institut, Qatar, firstname.lastname@example.org).
JDIQ archive at ACM's Digital Library
Upcoming Issue: Volume 5 Issue 4
|A Model-Based Approach for developing Data Cleansing Solutions
Mirko Cesarini, Mario Mezzanzanica, Roberto Boselli, Fabio Mercorio
|What Are The Most Important Factors For Accounting Information Quality
And Their Impact On AIS Data Quality Outcomes?
Current Issue: Volume 5 Issue 3 - Special Issue on Data ProvenanceGuest editors: Paolo Missier, Newcastle University, UK and Paolo Papotti, Qatar Computing Research Institute, Qatar
|Provenance Quality Assessment Methodology and Framework
Y. Cheah and B. Plale
|A Hybrid Approach to Answering Why-Not Questions on Relational Query Results
|Self-Identifying Data for Fair Use
S. Chong, C. Skalka, J. A. Vaughan
|QUAL: A Provenance-Aware Quality Model
C. Baillie, P. Edwards and E. Pignotti
Previous Issue: Volume 5 Issue 1-2
|Information Quality Research Challenge: Predicting and Quantifying the Impact of Social Issues on Information Quality Programs
John Talburt, Therese Williams, Thomas Redman, Davod Becker
|Discovering product counterfeits in online shops: a big data integration challenge
|Challenges for privacy preservation in data integration
Peter Christen, Dinusha Vatsalan, and Vassilios Verykios
|Reach for Gold: An Annealing Standard to Evaluate Duplicate Detection Results
Tobias Vogel, Arvid Heise, Uwe Draisbach, Dustin Lange, and Felix Naumann
|Conflict Resolution with Data Currency and Consistency
Nan Tang, Wenfei Fan, Floris Geerts, Wenyuan Yu
|Process-driven data quality management: a critical review on the application of process modeling languages
Ali Sunyaev, Paul Glowalla
Special IssuesIn addition to its regular issues, 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. To suggest a special issue please provide a description, a topic list, and a timeline. Please also copy the co-editors you would like to work with for that special issue.
Last change: April 22, 2015