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International Journal of Information Quality is a peer-reviewed journal published by Inderscience, covering Data Quality and Management, Big Data and Business Intelligence, Advanced Database Systems and Queries.
| Publisher | Inderscience |
|---|---|
| Reference style | Author–year (Harvard/AGSM) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', International Journal of Information Quality, 12(3), pp. 45–58.
Formats any DOI in International Journal of Information Quality style. No sign-up. |
| Publishes research in | Data Quality and Management Big Data and Business Intelligence Advanced Database Systems and Queries Data Mining Algorithms and Applications Competitive and Knowledge Intelligence |
| ISSN | 1751-0457 |
| h-index | 13 |
| i10-index | 20 |
| Total citations | 608 |
| Open access | Yes |
| Top institutions publishing here | University of Southern Queensland |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Data Quality (DQ) is seen as critical to effective business decision-making. However, maintaining DQ is often acknowledged as problematic. Asset data is the key enabler in gaining control of assets. The quality asset data provides the foundation for effective Asset Management (AM). Researches have indicated that achieving AM DQ is the key challenge engineering organisations…
The National Ambulatory Care Reporting System (NACRS) records details of all of Ontario's emergency department visits. It is used for several planning, reporting and research purposes including facility-specific utilisation management decisions, costing and clinical outcomes research, policy development, and system planning and evaluation. Uses of NACRS data for these purposes rely on the data being…
Data quality (DQ) assessment and improvement in larger information systems would often not be feasible without using suitable ‘DQ methods’, which are algorithms that can be automatically executed by computer systems to detect and/or correct problems in datasets. Currently, these methods are already essential, and they will be of even greater importance as the quantity…
As databases become more pervasive through the biological sciences, various data quality concerns are emerging. Biological databases tend to develop data quality issues regarding data legacy, data uniformity and data duplication. Due to the nature of this data, each of these problems is non-trivial and can cause many problems for the database. For biological data…
The manufacture of an information product (IP) is akin to the manufacture of a physical product. Current approaches to model such information manufacturing systems (IMS), lack the ability to systematically represent the dynamic changes involved in manufacturing (or creating) an IP. They also have limitations to consistently include aspects of process and information management at…
