ACM Journal of

Data and Information Quality (JDIQ)

Latest Articles

Jan. 2016 -- New book announcement


Carlo Batini and Monica Scannapieco have a new book:

Data and Information Quality: Dimensions, Principles and Techniques 

Springer Series: Data-Centric Systems and Applications, soon available from the Springer shop

The Springer flyer is available here

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 Author Guidelines for details.

Machine Reading of Biomedical Data Dictionaries

This paper describes an approach for automated ingestion of biomedical data dictionaries. Automated ingestion or reading is the process of extracting element details for each of the data elements from a data dictionary in a document format (such as PDF) to a completely structured format. The structured format is essential if the data dictionary metadata is to be used in applications such as data integration, and also in evaluating the quality of the associated data. We present a machine-learning classification solution to the problem using conditional random field (CRF) classifiers and leveraging multiple text and character based features of text rows in the document. We present an evaluation using several actual data dictionary documents demonstrating the effectiveness of our approach.

Challenge Paper: Data Quality Issues in Queue Mining

Queue mining is a novel research area of data mining that learns queueing models from data logs. These models are then used for performance prediction in queueing-oriented systems. Queue mining combines techniques from process mining, queueing theory, statistics, and optimization. This paper reviews challenges that stem from data quality issues in queue mining, as well as some existing solutions to these challenges.

Addressing Selection Bias in Event Studies with General Purpose Social Media Panels

Data from Twitter have been increasingly employed to study the impact of events. Conventionally, researchers have relied on keywords to create a panel of Twitter users who mention event-related keywords during and after an event. There are limitations to the keyword-based approach. First, the technique suffers from selection bias since users who discuss an event are already more interested in event-related topics beforehand; it is thus unclear whether observed impacts are merely driven by a set of users who are intrinsically more interested in an event. Second, there are no viable groups for comparison to a keyword-based sample of Twitter users. We propose an alternative sampling approachgeolocated panels defined by users geolocation to studying response to events on Twitter. Geolocated panels are exogenous to the keywords in users tweets, resulting in less selection bias than the keyword-based approach. Geolocated panels allow us to follow within-person changes over time and enable the creation of comparison groups. We evaluate our panel selection approach in two real-world settings: response to mass shootings and response to TV advertising. We first empirically show that geolocated panels are subject to selection biases, while geolocated panels reduce selection biases. Then we show how geolocated panels can provide qualitatively different results. We believe that we are the first to provide a clear empirical example of how a better panel-selection design, based on an exogenous variable such as geography, both reduces selection bias compared to the current state-of-the-art and increases the value of Twitter research for studying events.

Towards Veracity Assessment in RDF Knowledge Bases  An Exploratory Analysis

Through the different aspects of Knowledge Bases, data quality is one of the most relevant in order to obtain the benefit of such information. Knowledge Bases quality assessment poses a number of big data challenges such as high volume, variety, velocity and veracity. In this paper we focus on answering questions to the assessment of veracity of facts through Deep Fact Validation (DeFacto), a fact checking framework designed to validate facts in RDF Knowledge Bases. Despite current development in the research area, the underlying framework for such task still faces many challenges. This article pinpoints and discusses these issues and conduct a thorough analysis of its pipeline, aiming at reducing the error propagation through its components. As a result of this exploratory analysis, we give insights for an enhanced architecture which is able to better execute the complex task of fact checking, moving towards a better engineering of DeFacto.

Editorial: Special Issue on Improving the Veracity and Value of Big Data

Information Quality Awareness and Information Quality Practice

Healthcare organizations increasingly rely on electronic information to optimize their operations. Information of high diversity from various sources accentuate the relevance and importance of information quality (IQ). The quality of information needs to be improved to support a more efficient and reliable utilization of healthcare information systems (IS). This can only be achieved through the implementation of initiatives followed by most users across an organization. The purpose of this study is to examine how awareness of IS users about IQ issues would affect their actual practices toward IQ initiatives. Influenced by the awareness on beneficial and problematic situations generated by IQ practices, users motivation is found to influence their IQ-related behavior. In addition, social influences and facilitating conditions moderate the relationship between user intention and actual practice. The theoretical and practical implications of findings are discussed, especially IQ best practices in the healthcare settings.

SPMDL: Software Product Metrics Definition Language

Software metrics are becoming more acceptable measures for software quality assessment. However, there is no standard form for representing metric definitions, which would be useful for metrics exchange and customization. In this paper, we propose the Software Product Metrics Definition Language (SPMDL). We developed an XML-based description language, for defining software metrics in a precise and reusable form. Metric definitions in SPMDL are based on meta-models extracted from either source code or design artifacts, such as the Dagstuhl Middle Meta-model, with support for various abstraction levels. The language defines several flexible computation mechanisms such as extended OCL queries and predefined graph operations on the meta-model. SPMDL provides unambiguous description of the metric definition; it is also easy to use and extensible.


Publication Years 2009-2018
Publication Count 138
Citation Count 264
Available for Download 138
Downloads (6 weeks) 1370
Downloads (12 Months) 11808
Downloads (cumulative) 85409
Average downloads per article 619
Average citations per article 2
First Name Last Name Award
Peter Aiken ACM Senior Member (2011)
Mikhail Atallah ACM Fellows (2006)
Ahmed Elmagarmid ACM Fellows (2012)
ACM Distinguished Member (2009)
Wenfei Fan ACM Fellows (2012)
Matthias Jarke ACM Fellows (2013)
Daniel S Katz ACM Senior Member (2011)
Beth A. Plale ACM Senior Member (2006)
Clifford A Shaffer ACM Distinguished Member (2015)
ACM Senior Member (2007)
Clifford A Shaffer ACM Distinguished Member (2015)
ACM Senior Member (2007)

First Name Last Name Paper Counts
Yang Lee 4
Stuart Madnick 3
John Talburt 3
G Shankaranarayanan 3
Nan Tang 3
Peter Edwards 3
Roman Lukyanenko 3
Peter Christen 3
Mathias Klier 2
Kewei Sha 2
Eitel LauríA 2
Carolyn Matheus 2
Xiaobai Li 2
Ali Sunyaev 2
Vassilios Verykios 2
Wenfei Fan 2
Roger Blake 2
Felix Naumann 2
Bernd Heinrich 2
Daisyzhe Wang 2
Monica Tremblay 2
Dinusha Vatsalan 2
Ross Gayler 2
Christan Grant 2
Arnon Rosenthal 2
Sherali Zeadally 2
Wolfgang Lehner 2
Sören Auer 1
Christoph Lange 1
Sharad Mehrotra 1
Sandra Sampaio 1
Therese Williams 1
Dustin Lange 1
Jianyong Wang 1
Chris Baillie 1
Banda Ramadan 1
Beth Plale 1
John Krogstie 1
John O’Donoghue 1
Wenjun Li 1
Davide Ceolin 1
Khoi Tran 1
Lan Cao 1
Diego Marcheggiani 1
Nour El Mawass 1
Payam Barnaghi 1
Jean Caillec 1
Arputharaj Kannan 1
Anupkumar Sen 1
Rashid Ansari 1
Fahima Nader 1
Shuai Ma 1
Michalis Mountantonakis 1
Philip Woodall 1
Nigel Martin 1
Venkata Meduri 1
Axel Polleres 1
Suzanne Embury 1
Hubert Österle 1
Erhard Rahm 1
Lizhu Zhou 1
Jeffrey Vaughan 1
Melanie Herschel 1
Huizhi Liang 1
Paolo Coletti 1
Mirko Cesarini 1
Hongjiang Xu 1
Vincenzo Maltese 1
Xiaoping Liu 1
Fred Morstatter 1
Valentina Maccatrozzo 1
Paul Groth 1
Mohamed Yakout 1
A Borthick 1
Fabrizio Sebastiani 1
Peter Arbuckle 1
Sara Tonelli 1
Kush Varshney 1
Rahul Basole 1
Jimeng Sun 1
Dmitry Chornyi 1
Danilo Montesi 1
Omar Alonso 1
Ashfaq Khokhar 1
Alan Labouseur 1
C Fratto 1
Alexandra Poulovassilis 1
Honglinh Truong 1
Yuheng Hu 1
Yi Chen 1
Robert Meusel 1
Maurice Van Keulen 1
Irit Askira Gelman 1
Stephen Chong 1
Fabiano Tarlao 1
Edoardo Pignotti 1
Eric Medvet 1
John Herbert 1
Juan Augusto 1
Maurice Mulvenna 1
Paul Mccullagh 1
Fabio Mercorio 1
Laure Berti-Équille 1
Fei Chiang 1
Siddharth Sitaramachandran 1
J Jha 1
Sven Weber 1
Richard Briotta 1
Johann Freytag 1
Saad Alaboodi 1
María Bermúdez-Edo 1
Maria Alvarez 1
Panagiotis Ipeirotis 1
Justin St-Maurice 1
Milan Markovic 1
Wenyuan Yu 1
Cinzia Cappiello 1
Diana Hristova 1
Alexander Schiller 1
Clifford Shaffer 1
Yang Lei 1
Fabian Panse 1
Fumiko Kobayashi 1
Jürgen Umbrich 1
Paolo Missier 1
Kristin Weber 1
Paul Glowalla 1
Wenyuan Yu 1
Xu Pu 1
Benjamin Ngugi 1
Beverly Kahn 1
Fausto Giunchiglia 1
Christoph Quix 1
Matthias Jarke 1
Wan Fokkink 1
Jeffrey Fisher 1
Jeremy Millar 1
Adriane Chapman 1
Hilko Donker 1
Heiko Müller 1
Terry Clark 1
H Nehemiah 1
Steven Brown 1
Matthew Jensen 1
Jay Nunamaker, 1
Adir Even 1
Rachid Chalal 1
Fons Wijnhoven 1
Mostafa Milani 1
Justin Zobel 1
Jeremy Debattista 1
Sushovan De 1
Dominique Ritze 1
Heiko Paulheim 1
Dezhao Song 1
Rabia Nuray-Turan 1
Dmitri Kalashnikov 1
Yinle Zhou 1
Pável Calado 1
Tobias Vogel 1
Arvid Heise 1
Uwe Draisbach 1
Daniel Dalip 1
Youwei Cheah 1
Olivier Curé 1
Claire Collins 1
Ioannis Anagnostopoulos 1
Patricia Franklin 1
Huan Liu 1
Willem Van Hage 1
Peter Aiken 1
Gilbert Peterson 1
Len Seligman 1
Robert Ulbricht 1
Hongwei Zhu 1
Nitin Joglekar 1
Martin Hahmann 1
Michael Zack 1
Mikhail Atallah 1
Irit Gelman 1
Yanjuan Yang 1
Ulf Leser 1
Paul Bowen 1
Min Chen 1
Dennis Wei 1
Aleksandra Mojsilović 1
Ion Todoran 1
Ali Khenchaf 1
D Elizabeth 1
Trent Rosenbloom 1
Shawn Hardenbrook 1
Subhash Bhalla 1
Kaushik Dutta 1
Jeffrey Parsons 1
Valerie Sessions 1
Kresimir Duretec 1
Leena Al-Hussaini 1
Pim Dietz 1
Barbara Pernici 1
Kyuhan Koh 1
Michael Szubartowicz 1
Aitor Murguzur 1
Eric Fouh 1
Xiuzhen Zhang 1
Eric Nelson 1
Manoranjan Dash 1
M Kaiser 1
Thomas Redman 1
David Becker 1
Floris Geerts 1
Xiaoming Fan 1
Giannis Haralabopoulos 1
Kyle Niemeyer 1
Arfon Smith 1
Archana Nottamkandath 1
Darryl Ahner 1
Claudio Hartmann 1
Hongwei Zhu 1
Cihan Varol 1
Coşkun Bayrak 1
David Robb 1
Ezra Kahn 1
Adam Kriesberg 1
Rosella Gennari 1
Mark Braunstein 1
Marta Zárraga-Rodríguez 1
Peter Elkin 1
C Raj 1
Hema Meda 1
Amitava Bagchi 1
Matteo Magnani 1
Craig Fisher 1
Sufyan Ababneh 1
Jiannan Wang 1
C Cerletti 1
Jianing Wang 1
Erica Yang 1
Yu Wan 1
Norbert Ritter 1
Sebastian Neumaier 1
Ayush Singhania 1
Marcos Gonçalves 1
R Greenwood 1
George Moustakides 1
Bing Lv 1
Hongwei Zhu 1
Dirk Ahlers 1
Paul Mangiameli 1
Alberto Bartoli 1
James McNaull 1
Kelly Janssens 1
Mouhamadoulamine Ba 1
Ciro D'Urso 1
Judith Gelernter 1
Hua Zheng 1
Ahmed Elmagarmid 1
Michael Mannino 1
Fiona Rohde 1
David Corsar 1
Elliot Fielstein 1
Theodore Speroff 1
Yang Lee 1
Judee Burgoon 1
Josh Attenberg 1
Sean Goldberg 1
Marco Valtorta 1
Andreas Rauber 1
Sabrina Abdellaoui 1
Catherine Burns 1
Yannis Tzitzikas 1
Mohammed Farghally 1
Qingyu Chen 1
Karin Verspoor 1
Subbarao Kambhampati 1
Jeff Heflin 1
Anja Klein 1
Boris Otto 1
Alan March 1
Marco Cristo 1
Marilyn Tremaine 1
Alun Preece 1
Richard Wang 1
Christian Skalka 1
Maurizio Murgia 1
Andrea Lorenzo 1
Mario Mezzanzanica 1
Roberto Boselli 1
Luvai Motiwalla 1
Sandra Geisler 1
Daniel Katz 1
Douglas Hodson 1
Edward Anderson 1
Dov Biran 1
Aseel Basheer 1
Pierpaolo Vittorini 1
Karthikeyan Ramamurthy 1
Ralf Tönjes 1
Laurent Lecornu 1
Shelly Sachdeva 1
Stuart Madnick 1
Foster Provost 1
Debra VanderMeer 1
Nicola Ferro 1
Christian Becker 1
Chintan Amrit 1
Leopoldo Bertossi 1
Hossameldin Shahin 1

Affiliation Paper Counts
University of Padua 1
Facebook, Inc. 1
University of Illinois at Urbana-Champaign 1
Federal University of Amazonas 1
Florida State University 1
Virginia Commonwealth University 1
University of Amsterdam 1
Vanderbilt University 1
Instituto Superior Tecnico 1
University of Houston 1
Google Inc. 1
University of Leipzig 1
Hospital Universitario Austral 1
Harvard University 1
University of Colorado at Denver 1
University of Ulm 1
Oklahoma City University 1
University of Rhode Island 1
RMIT University 1
State University of New York at Albany 1
Georgia State University 1
University of Antwerp 1
University of Texas at Austin 1
Oregon State University 1
Beihang University 1
University of Massachusetts System 1
Indian Institute of Science, Bangalore 1
University of Saskatchewan 1
Elsevier 1
University of Augsburg 1
The College of William and Mary 1
Carleton University 1
University of South Carolina 1
Simon Fraser University 1
Memorial University of Newfoundland 1
Boston University 1
Technical University of Munich 1
Butler University 1
University of Maryland 1
Italian National Research Council 1
New Jersey Institute of Technology 1
National Institute of Standards and Technology 1
Rutherford Appleton Laboratory 1
Cardiff University 1
Sam Houston State University 1
University College Cork 1
Ben-Gurion University of the Negev 1
Charleston Southern University 1
Commonwealth Scientific and Industrial Research Organization 1
Rutgers, The State University of New Jersey 1
University of Cambridge 1
University of Patras 1
California State University 1
Hellenic Open University 1
University of Baghdad 1
Universite Paris-Est 1
Assiut University 1
USDA ARS Beltsville Agricultural Research Center 2
Humboldt University of Berlin 2
University of Crete 2
Fraunhofer Institute for Applied Information Technology 2
Nanyang Technological University 2
Old Dominion University 2
Suffolk University 2
Free University of Bozen-Bolzano 2
University of Innsbruck 2
University of Arizona 2
Norwegian University of Science and Technology 2
King Saud University 2
University of Waterloo 2
University of Kentucky 2
University of Trento 2
RWTH Aachen University 2
University of Toronto 2
Vienna University of Technology 2
University of Surrey 2
Indiana University 2
New York University 2
Massachusetts Institute of Technology 2
University of Massachusetts Boston 2
Microsoft Corporation 2
Virginia Tech 2
University of Bologna 2
University of Hamburg 2
Federal University of Minas Gerais 2
University of Oklahoma 2
University of Queensland 2
University of Aizu 2
Universidad de Navarra 2
Indian Institute of Management Calcutta 2
Lehigh University 3
Vienna University of Economics and Business Administration 3
Ecole nationale superieure d'Informatique 3
McMaster University 3
Northeastern University 3
University of St. Gallen 3
University of Thessaly 3
Babson College 3
University of Cologne 3
Georgia Institute of Technology 3
Telecom Bretagne 3
Purdue University 3
Birkbeck University of London 3
University of Bonn 3
University of California, Irvine 3
University of Mannheim 3
University of Massachusetts Medical School 3
University of Edinburgh 4
Qatar Computing Research institute 4
University of Manchester 4
Vrije Universiteit Amsterdam 4
University of Regensburg 4
University of Milan - Bicocca 4
University of Florida 4
United States Department of Veterans Affairs 4
Politecnico di Milano 4
Anna University 4
University of Ulster 4
IBM Thomas J. Watson Research Center 4
Technical University of Dresden 4
University of Trieste 4
University of Illinois at Chicago 4
United States Air Force Institute of Technology 4
University of Twente 4
MITRE Corporation 5
Marist College 5
Tsinghua University 5
University of Massachusetts Lowell 5
University of Melbourne 5
Arizona State University 5
Hasso-Plattner-Institut fur Softwaresystemtechnik GmbH 6
Florida International University 6
University of Aberdeen 7
University of Arkansas at Little Rock 8
Australian National University 9

Journal of Data and Information Quality (JDIQ)

Volume 9 Issue 3, January 2018  Issue-in-Progress
Volume 9 Issue 2, January 2018 Challenge Paper, Experience Paper and Research Paper

Volume 9 Issue 1, October 2017 Research Papers and Challenge Papers
Volume 8 Issue 3-4, July 2017 Challenge Papers, Experience Paper and Research Papers
Volume 8 Issue 2, February 2017 Challenge Papers and Research Papers

Volume 8 Issue 1, November 2016 Special Issue on Web Data Quality
Volume 7 Issue 4, October 2016 Challenge Papers and Regular Papers
Volume 7 Issue 3, September 2016 Research Paper, Challenge Papers and Experience Paper
Volume 7 Issue 1-2, June 2016 Challenge Papers, Regular Papers and Experience Paper

Volume 6 Issue 4, October 2015 Challenge Papers and Regular Papers
Volume 6 Issue 2-3, July 2015
Volume 6 Issue 1, March 2015
Volume 5 Issue 4, February 2015
Volume 5 Issue 3, February 2015 Special Issue on Provenance, Data and Information Quality

Volume 5 Issue 1-2, August 2014
Volume 4 Issue 4, May 2014

Volume 4 Issue 3, May 2013
Volume 4 Issue 2, March 2013 Special Issue on Entity Resolution

Volume 4 Issue 1, October 2012
Volume 3 Issue 4, September 2012
Volume 3 Issue 3, August 2012
Volume 3 Issue 2, May 2012
Volume 3 Issue 1, April 2012
Volume 2 Issue 4, February 2012

Volume 2 Issue 3, December 2011
Volume 2 Issue 2, February 2011

Volume 2 Issue 1, July 2010

Volume 1 Issue 3, December 2009
Volume 1 Issue 2, September 2009
Volume 1 Issue 1, June 2009
All ACM Journals | See Full Journal Index

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