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, Regular Papers and Experience Paper, Volume 7 Issue 1-2, June 2016



Section: Challenge Papers

The Challenge of “Quick and Dirty” Information Quality
Adriane P. Chapman, Arnon Rosenthal, Len Seligman
Article No.: 1
DOI: 10.1145/2834123

Data Quality Challenges in Distributed Live-Virtual-Constructive Test Environments
Jeremy R. Millar, Douglas D. Hodson, Gilbert L. Peterson, Darryl K. Ahner
Article No.: 2
DOI: 10.1145/2850420

Information Quality Research Challenge: Information Quality in the Age of Ubiquitous Digital Intermediation
Roman Lukyanenko
Article No.: 3
DOI: 10.1145/2856038

As information technology becomes an integral part of daily life, increasingly, people understand the world around them by turning to digital sources as opposed to directly interacting with objects in the physical world. This has ushered in the...

Data Standards Challenges for Interoperable and Quality Data
Hongwei Zhu, Yang W. Lee, Arnon S. Rosenthal
Article No.: 4
DOI: 10.1145/2903723

Challenges for Context-Driven Time Series Forecasting
Robert Ulbricht, Hilko Donker, Claudio Hartmann, Martin Hahmann, Wolfgang Lehner
Article No.: 5
DOI: 10.1145/2896822

Predicting time series is a crucial task for organizations, since decisions are often based on uncertain information. Many forecasting models are designed from a generic statistical point of view. However, each real-world application requires...

Section: Challenge Papers

Combining User Reputation and Provenance Analysis for Trust Assessment
Davide Ceolin, Paul Groth, Valentina Maccatrozzo, Wan Fokkink, Willem Robert Van Hage, Archana Nottamkandath
Article No.: 6
DOI: 10.1145/2818382

Trust is a broad concept that in many systems is often reduced to user reputation alone. However, user reputation is just one way to determine trust. The estimation of trust can be tackled from other perspectives as well, including by looking at...

Automatic Discovery of Abnormal Values in Large Textual Databases
Peter Christen, Ross W. Gayler, Khoi-Nguyen Tran, Jeffrey Fisher, Dinusha Vatsalan
Article No.: 7
DOI: 10.1145/2889311

Textual databases are ubiquitous in many application domains. Examples of textual data range from names and addresses of customers to social media posts and bibliographic records. With online services, individuals are increasingly required to...

Section: Challenge Papers

EXPERIENCE: Succeeding at Data Management—BigCo Attempts to Leverage Data
Peter Aiken
Article No.: 8
DOI: 10.1145/2893482

In a manner similar to most organizations, BigCompany (BigCo) was determined to benefit strategically from its widely recognized and vast quantities of data. (U.S. government agencies make regular visits to BigCo to learn from its experiences in...