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| Content Provider | ACM Digital Library |
|---|---|
| Author | Mehra, Pankaj Wilkes, John Keeton, Kimberly |
| Abstract | Information quality (IQ) is a measure of how fit information is for a purpose. Sometimes called Quality of Information (QoI) by analogy with Quality of Service (QoS), it quantifies whether the correct information is being used to make a decision or take an action. Not understanding when information is of adequate quality can lead to bad decisions and catastrophic effects, including system outages, increased costs, lost revenue -- and worse. Quantifying information quality can help improve decision making, but the ultimate goal should be to select or construct information producers that have the appropriate balance between information quality and the cost of providing it. In this paper, we provide a brief introduction to the field, argue the case for applying information quality metrics in the systems domain, and propose a research agenda to explore this space. |
| Starting Page | 26 |
| Ending Page | 31 |
| Page Count | 6 |
| File Format | |
| ISSN | 01635999 |
| DOI | 10.1145/1710115.1710121 |
| Journal | ACM SIGMETRICS Performance Evaluation Review (PERV) |
| Volume Number | 37 |
| Issue Number | 3 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-01-10 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Uncertainty Information quality Prediction Iq Qoi Data quality Modeling Goal-directed design Information processing pipeline |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Hardware and Architecture Software |
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