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- surveyOctober 2024
Use of Context in Data Quality Management: A Systematic Literature Review
Journal of Data and Information Quality (JDIQ), Volume 16, Issue 3Article No.: 19, Pages 1–41https://doi.org/10.1145/3672082The importance of context in data quality (DQ) was shown many years ago and nowadays is widely accepted. Early approaches and surveys defined DQ as fitness for use and showed the influence of context on DQ. This article presents a Systematic Literature ...
- research-articleJune 2024
BUNNI: Learning Repair Actions in Rule-driven Data Cleaning
Journal of Data and Information Quality (JDIQ), Volume 16, Issue 2Article No.: 12, Pages 1–31https://doi.org/10.1145/3665930In this work, we address the challenging and open problem of involving non-expert users in the data repairing problem as first-class citizens. Despite a large number of proposals that have been devoted to cleaning data from the point of view of expert ...
- research-articleMarch 2024
Cleenex: Support for User Involvement during an Iterative Data Cleaning Process
Journal of Data and Information Quality (JDIQ), Volume 16, Issue 1Article No.: 6, Pages 1–26https://doi.org/10.1145/3648476The existence of large amounts of data increases the probability of occurring data quality problems. A data cleaning process that corrects these problems is usually an iterative process, because it may need to be re-executed and refined to produce high-...
- research-articleMarch 2024
AI Explainability and Acceptance: A Case Study for Underwater Mine Hunting
Journal of Data and Information Quality (JDIQ), Volume 16, Issue 1Article No.: 10, Pages 1–20https://doi.org/10.1145/3635113In critical operational context such as Mine Warfare, Automatic Target Recognition (ATR) algorithms are still hardly accepted. The complexity of their decision-making hampers understanding of predictions despite performances approaching human expert ones. ...
- research-articleMarch 2024
Enhancing Human-in-the-Loop Ontology Curation Results through Task Design
Journal of Data and Information Quality (JDIQ), Volume 16, Issue 1Article No.: 4, Pages 1–25https://doi.org/10.1145/3626960The success of artificial intelligence (AI) applications is heavily dependent on the quality of data they rely on. Thus, data curation, dealing with cleaning, organising, and managing data, has become a significant research area to be addressed. ...
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- research-articleNovember 2023
A Data-centric AI Framework for Automating Exploratory Data Analysis and Data Quality Tasks
Journal of Data and Information Quality (JDIQ), Volume 15, Issue 4Article No.: 44, Pages 1–26https://doi.org/10.1145/3603709Democratisation of machine learning (ML) has been an important theme in the research community for the last several years with notable progress made by the model-building community with automated machine learning models. However, data play a central role ...
- research-articleNovember 2023
Pipeline Design for Data Preparation for Social Media Analysis
Journal of Data and Information Quality (JDIQ), Volume 15, Issue 4Article No.: 42, Pages 1–25https://doi.org/10.1145/3597305In a data-driven culture, in which analytics applications are the main resources for supporting decision-making, the use of high-quality datasets is mandatory to minimize errors and risks. For this reason, data analysis tasks need to be preceded by a data ...
- research-articleSeptember 2023
Multimodal Social Data Analytics on the Design and Implementation of an EEG-Mechatronic System Interface
Journal of Data and Information Quality (JDIQ), Volume 15, Issue 3Article No.: 31, Pages 1–25https://doi.org/10.1145/3597306The devices that can read Electroencephalography (EEG) signals have been widely used for Brain-Computer Interfaces (BCIs). Popularity in the field of BCIs has increased in recent years with the development of several consumer-grade EEG devices that can ...
- research-articleJune 2023
Incentive Mechanism Design for Responsible Data Governance: A Large-scale Field Experiment
Journal of Data and Information Quality (JDIQ), Volume 15, Issue 2Article No.: 16, Pages 1–18https://doi.org/10.1145/3592617A crucial building block of responsible artificial intelligence is responsible data governance, including data collection. Its importance is also underlined in the latest EU regulations. The data should be of high quality, foremost correct and ...
- research-articleDecember 2022
A Neural Model to Jointly Predict and Explain Truthfulness of Statements
Journal of Data and Information Quality (JDIQ), Volume 15, Issue 1Article No.: 4, Pages 1–19https://doi.org/10.1145/3546917Automated fact-checking (AFC) systems exist to combat disinformation, however, their complexity usually makes them opaque to the end-user, making it difficult to foster trust in the system. In this article, we introduce the E-BART model with the hope of ...
- research-articleDecember 2022
Combining Human and Machine Confidence in Truthfulness Assessment
Journal of Data and Information Quality (JDIQ), Volume 15, Issue 1Article No.: 5, Pages 1–17https://doi.org/10.1145/3546916Automatically detecting online misinformation at scale is a challenging and interdisciplinary problem. Deciding what is to be considered truthful information is sometimes controversial and also difficult for educated experts. As the scale of the problem ...
- research-articleDecember 2022
Unsupervised Identification of Abnormal Nodes and Edges in Graphs
Journal of Data and Information Quality (JDIQ), Volume 15, Issue 1Article No.: 8, Pages 1–37https://doi.org/10.1145/3546912Much of today’s data are represented as graphs, ranging from social networks to bibliographic citations. Nodes in such graphs correspond to records that generally represent entities, while edges represent relationships between these entities. Both nodes ...
- research-articleMay 2022
PoWareMatch: A Quality-aware Deep Learning Approach to Improve Human Schema Matching
Journal of Data and Information Quality (JDIQ), Volume 14, Issue 3Article No.: 16, Pages 1–27https://doi.org/10.1145/3483423Schema matching is a core task of any data integration process. Being investigated in the fields of databases, AI, Semantic Web, and data mining for many years, the main challenge remains the ability to generate quality matches among data concepts (e.g., ...
- research-articleOctober 2021
Assessing the Quality of Sources in Wikidata Across Languages: A Hybrid Approach
Journal of Data and Information Quality (JDIQ), Volume 13, Issue 4Article No.: 23, Pages 1–35https://doi.org/10.1145/3484828Wikidata is one of the most important sources of structured data on the web, built by a worldwide community of volunteers. As a secondary source, its contents must be backed by credible references; this is particularly important, as Wikidata explicitly ...
- research-articleMay 2021
Government Big Data Ecosystem: Definitions, Types of Data, Actors, and Roles and the Impact in Public Administrations
Journal of Data and Information Quality (JDIQ), Volume 13, Issue 2Article No.: 8, Pages 1–25https://doi.org/10.1145/3425709The public sector, private firms, business community, and civil society are generating data that are high in volume, veracity, and velocity and come from a diversity of sources. This type of data is today known as big data. Public administrations pursue ...
- research-articleNovember 2019
Experience: Managing Misinformation in Social Media—Insights for Policymakers from Twitter Analytics
Journal of Data and Information Quality (JDIQ), Volume 12, Issue 1Article No.: 6, Pages 1–18https://doi.org/10.1145/3341107Governance of misinformation is a serious concern in social media platforms. Based on experiences gathered from different case studies, we offer insights for the policymakers on managing misinformation in social media. These platforms are widely used ...
- research-articleAugust 2019
Assessing the Readiness of Academia in the Topic of False and Unverified Information
Journal of Data and Information Quality (JDIQ), Volume 11, Issue 4Article No.: 17, Pages 1–27https://doi.org/10.1145/3313788The spread of false and unverified information has the potential to inflict damage by harming the reputation of individuals or organisations, shaking financial markets, and influencing crowd decisions in important events. This phenomenon needs to be ...
- research-articleMarch 2019
Experience: Data and Information Quality Challenges in Governance, Risk, and Compliance Management
Journal of Data and Information Quality (JDIQ), Volume 11, Issue 2Article No.: 6, Pages 1–14https://doi.org/10.1145/3297721Governance, risk, and compliance (GRC) managers often struggle to document the current state of their organizations. This is due to the complexity of their IS landscape, the complex regulatory and organizational environment, and the frequent changes to ...
- research-articleMay 2018
Visual Interactive Creation, Customization, and Analysis of Data Quality Metrics
Journal of Data and Information Quality (JDIQ), Volume 10, Issue 1Article No.: 3, Pages 1–26https://doi.org/10.1145/3190578During data preprocessing, analysts spend a significant part of their time and effort profiling the quality of the data along with cleansing and transforming the data for further analysis. While quality metrics—ranging from general to domain-specific ...