ACM DL

Data and Information Quality (JDIQ)

Menu

Search Issue
enter search term and/or author name

Archive


Journal of Data and Information Quality (JDIQ) - Challenge Papers, Experience Paper and Research Papers, Volume 8 Issue 3-4, July 2017

Section: Challenge Papers

The Data Repurposing Challenge: New Pressures from Data Analytics
Philip Woodall
Article No.: 11
DOI: 10.1145/3022698

The Challenge of Quality in Social Computation
Milan Markovic, Peter Edwards
Article No.: 12
DOI: 10.1145/3041762

Section: Experience Paper

Experience: Insights into the Benchmarking Data of Hunspell and Aspell Spell Checkers
Leena Al-Hussaini
Article No.: 13
DOI: 10.1145/3092700

Hunspell is a morphological spell checker and automatic corrector for Macintosh 10.6 and later versions. Aspell is a general spell checker and automatic corrector for the GNU operating system. In this experience article, we present a benchmarking...

Section: Research Papers

QDflows: A System Driven by Knowledge Bases for Designing Quality-Aware Data flows
Sabrina Abdellaoui, Fahima Nader, Rachid Chalal
Article No.: 14
DOI: 10.1145/3064173

In the big data era, data integration is becoming increasingly important. It is usually handled by data flows processes that extract, transform, and clean data from several sources, and populate the data integration system (DIS). Designing data...

An Exploratory Case Study to Understand Primary Care Users and Their Data Quality Tradeoffs
Justin St-Maurice, Catherine Burns
Article No.: 15
DOI: 10.1145/3058750

Primary care data is an important part of the evolving healthcare ecosystem. Generally, users in primary care are expected to provide excellent patient care and record high-quality data. In practice, users must balance sets of priorities regarding...

Dependable Data Repairing with Fixing Rules
Jiannan Wang, Nan Tang
Article No.: 16
DOI: 10.1145/3041761

One of the main challenges that data-cleaning systems face is to automatically identify and repair data errors in a dependable manner. Though data dependencies (also known as integrity constraints) have been widely studied to capture...