ISSN: 1936-1955

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Journal of Data and Information Quality Q2 Unclaimed

Association for Computing Machinery (ACM) United States

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Journal of Data and Information Quality is a journal indexed in SJR in Information Systems and Information Systems and Management with an H index of 29. It has a price of 2500 €. It has an SJR impact factor of 0,545 and it has a best quartile of Q2. It has an SJR impact factor of 0,545.

Type: Journal

Type of Copyright:

Languages:

Open Access Policy:

Type of publications:

Publication frecuency: -

Categories: Information Systems (Q2) Information Systems and Management (Q2) Information Systems and Management (Q2)

Price

2500 €

Inmediate OA

NPD

Embargoed OA

0 €

Non OA

Metrics

0,545

SJR Impact factor

29

H Index

38

Total Docs (Last Year)

75

Total Docs (3 years)

2154

Total Refs

201

Total Cites (3 years)

73

Citable Docs (3 years)

2.41

Cites/Doc (2 years)

56.68

Ref/Doc

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Aims and Scope

Best articles by citations

Value-Based File Retention

Unifying Data and Constraint Repairs

Comparative Analysis of Sequence Clustering Methods for Deduplication of Biological Databases

Data Quality Challenge

Transforming Pairwise Duplicates to Entity Clusters for High-quality Duplicate Detection

Challenge Paper

Data Quality Challenges in Cyber-Physical Systems

Design and Construction of a Historical Financial Database of the Italian Stock Market 1973--2011

Improving Adaptive Video Streaming through Session Classification

Validating Data Quality Actions in Scoring Processes

Data Challenges in Disease Response

Challenges in Quality of Temporal Data - Starting with Gold Standards

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The Effects and Interactions of Data Quality and Problem Complexity on Classification

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Data Transparency with Blockchain and AI Ethics

Automated Selection and Quality Assessment of Primary Studies

InfoClean

Machine Reading of Biomedical Data Dictionaries

A Methodology and Architecture Embedding Quality Assessment in Data Integration

Compensated Signature Embedding for Multimedia Content Authentication

Introduction to the Special Issue on Reproducibility in Information Retrieval