Data quality in context
Open accessAbstract
In Context ATA-QUALITY (DQ) PROBLEMS ARE INCREASINGLY EVI-dent, particularly in organizational databases.Indeed, 50% to 80% of computerized criminal records in the U.S. were found to be inaccurate, incomplete, or ambiguous.The social and economic impact of poor-quality data costs billions of dollars.[5][6][7]10].Organizational databases, however, reside in the larger context of information systems (IS).Within this larger context, data is collected from multiple data sources and stored in databases.From this stored data, useful information 1 is generated for organizational decision-making.A new study reveals businesses are defining data quality with the consumer in mind.
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Data quality consists of many dimensions including accuracy, timeliness, completeness, consistency, objectivity, believability and relevance, which all determine whether data is fit for use.
“Data quality consists of many dimensions including accuracy, timeliness, completeness, consistency, objectivity, believability and relevance, which all determine whether data is fit for use (Strong, Lee, & Wang, 1997).”
From Data governance: Organizing data for trustworthy Artificial Intelligence (2020) · cites this paper as Strong, Lee, & Wang, 1997
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Cites
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Flagged first, then by citations
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Cited by
Sorted by citations
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“This collaboration led to ISO 8000, which built on the NCS’s emphasis on precise, standardized data descriptions and management practices, refined over decades [7,14,16].”
AI and Tax Administrations: A Good Match
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- Authors
- Strong, D. M., Lee, Y. W., & Wang, R. Y.
- Affiliations
- Worcester Polytechnic Institute (US)
- Massachusetts Institute of Technology (US)
- Venue
- Communications of the ACM
- Published
- 1997-05
- Volume
- 40
- Issue
- 5
- Pages
- 103-110
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W1966188439
- Cited by
- 1,298
- References
- 11
- Citations by year
- 2026: 29 · 2025: 37 · 2024: 35 · 2023: 42 · 2022: 66 · 2021: 43 · 2020: 75 · 2019: 50 · 2018: 49 · 2017: 55 · 2016: 47 · 2015: 62 · 2014: 54 · 2013: 56 · 2012: 68
- FWCI
- 24.73
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Communications of the ACM (publishedVersion)
- UCLA - Biblioteca de Ciencias y Tecnologia Felix Morales Bueno (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Data Quality and Management
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Keywords
- data quality, organizational databases, information systems, criminal records, data accuracy, data integration, management decision-making
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