Last updated: June 20^th, 2016

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Accepted papers

ICIQ 2016 proceedings in DBLP: “ICIQ 2016 proceedings in DBLP”

Corporate and Organizational Strategies for IQ

Paper ID	Title	Authors	Download
1	Designing Information Governance with a Focus on Competence Management in a Knowledge-Intensive Project Organization	Erkka Niemi*, Aalto University Sami Laine, Aalto University
2	Big Data Quality - Towards an Explanation Model	Markus Helfert*, Dublin City University Mouzhi Ge, Free University of Bozen-Bolzano
3	Assessment of information-driven decision-making in the SME	Xileidys Parra*, Universitat Politècnica de Catalunya Xavier Tort-Martorell, Universitat Politècnica de Catalunya
4	The Role of Data Quality in Business Intelligence – An empirical study in German medium-sized and large companies	Karin Hartl*, University of Applied Sciences Neu-Ulm Olaf Jacob, University of Applied Sciences Neu-Ulm

IQ Cases and Applications Involving

Paper ID	Title	Authors	Download
6	Big Data, Data Loss and Observation Analysis	Gerald Frizelle, University of Cambridge Philip Woodall*, Cambridge University
7	Data Quality Problems in ETL: The State of the Practice in Large Organisations	Philip Woodall*, Cambridge University Alexander Borek, Gartner; Martin Oberhofer, IBM Jing Gao, University of South Australia
8	Open Research Issues and Emerging Research Directions in Data Quality for Public Health	Arun Sundararaman *, Accenture Srinivasan Valady Ramanathan, Accenture
9	A case study on assessing the organizational maturity of data management, data quality management and data governance by means of MAMD	Ana G. Carretero*, University of Castilla-La Mancha Alberto Freitas, Universidade do Porto Ricardo Correia, Universidade do Porto Mario Piattini, University of Castilla-La Mancha
10	Information Quality Challenges in Industry 4.0	Nils Gruschka*, Kiel University of Applied Science Jens Luessem, University of Applied Science of Kiel

Methods, Concepts, and Tools for IQ

Paper ID	Title	Authors	Download
11	SPIDEQ - A Prototype for Decision Making with Data Quality Metadata	Ganesan Shankaranarayanan*, Babson College Bin Zhu, Oregon State University
12	A Technique for Incorporating Data Missing Not at Random (MNAR) into Bayesian Networks	Valerie Sessions*, Charleston Southern University Justin Grieves, Charleston Southern University; Stanley Perrine, GGC
13	Data State Tracking: labelling good quality data to improve warehouse operations	Philip Woodall*, Cambridge University Vaggelis Giannikas, University of Cambridge Wenrong Lu, University of Cambridge Duncan McFarlane, University of Cambridge
14	A Model for Quality Defects Detection in Record Sequences and its Application for Obstetric Data in Electronic Medical Records	Tal Aboudy, Ben-Gurion University of the Negev Yoav Brezinov, Kaplan Medical Center Adir Even*, Ben-Gurion University of the Negev Edi Vaisbuch, Kaplan Medical Center
15	Towards a Theoretical Framework to Explain Root Causes of Errors in Manually Acquired Data	Tom Haegemans*, KU Leuven Monique Snoeck, KU Leuven Wilfried Lemahieu, KU Leuven Frank Stumpe, KBC Group NV Antoon Goderis, KBC Group NV
16	Towards a Precise Definition of Data Accuracy and a Justification for its Measure	Tom Haegemans*, KU Leuven Monique Snoeck, KU Leuven Wilfried Lemahieu, KU Leuven
17	Getting to Customer Dialog: An Architecture for Extending Data Governance to Customer Communications Management	John Talburt*, University of Arkansas at Little Rock Salomon de Jager, PiLog Group, South Africa Wynand Nortje, PiLog Innovations, South Africa Fumiko Kobayashi, Black Oak Analytics, Inc., USA Leslie Culpepper, Black Oak Analytics, Inc. USA
18	Data Quality Management in Web Warehouses using BPM	Adriana Marotta*, Universidad de la República Andrea Delgado, Universidad de la República
19	Developing a Data Quality Research Taxonomy – an organizational perspective	Ahmad Khalilijafarabad*, University of Tehran Markus Helfert, Dublin City University Mouzhi Ge, Free University of Bozen-Bolzano
20	Securing Databases Using Big Data Technology	Julio Moreno*, UCLM Manuel Serrano, UCLM Eduardo Fernández-Medina, UCLM

Technologies for IQ Improvement and Assurance

Paper ID	Title	Authors	Download
21	Data Quality for Web Log Data Using a Hadoop Environment	Qishan Yang*, Dublin City University Insight Centre for Data Analytics Markus Helfert, Dublin City University Insight Centre for Data Analytics
22	Rewritting Data Cleaning Operations Defined at a Conceptual Level	Ricardo Almeida*, ISEP Paulo Oliveira, ISEP Joao Barroso, University of Trás-os-Montes e Alto Douro
23	Improving Data Quality by Leveraging Statistical Relational Learning	Larysa Visengeriyeva*, Techniche Universität Berlin
24	A new design of ensemble classifiers for high-dimension entity resolution	Cao Jianjun*, Nanjing Telecommunication Technology Institute Liu Yi, PLA University of Science and Technology Diao Xingchun, Nanjing Telecommunication Technology Institute Zhang Bin, Nanjing Telecommunication Technology Institute Peng Cong, Nanjing