Availability and Accessability |
Currency |
Reliability and Credibility |
Usability and Interpretability |
Source quality
Compare with other Characteristic
| Characteristic Name: | Source quality |
| Definition: | Data used is from trusted and credible sources |
| Dimension: | Reliability and Credibility |
| Granularity: | Information object |
| Characteristic Type: | Usage |
| Implementation Form: | Process-based approach |
Verification Metric:
| The number of tasks failed or under performed due to lack of source quality |
| The number of complaints received due to lack of source quality |
Validation Metric:
| To what extent required capabilities and skills have been implemented to improve the data usage of a task |
BackgroundGuidelines
The original definitions given below formed the basis of the consolidated definition of the characteristic.
| Definition: | Source: |
|---|---|
| The source of information (1) guarantees the quality of information it provides with remedies for non-compliance; (2) documents its certification in its Information Quality Management capabilities to capture, maintain, and deliver Quality Information; (3) provides objective and verifiable measures of the Quality of Information it provides in agreed-upon Quality Characteristics; and (4) guarantees that the Information has been protected from unauthorized access or modification. | ENGLISH, L. P. 2009. Information quality applied: Best practices for improving business information, processes and systems, Wiley Publishing. More from this source |
| The notion of abstracting information into a data domain implies that there are enough users of the same set of data that it makes sense to manage their own versions. The dimension of enterprise agreement of usage measures the degree to which different organizations conform to the usage of the enterprise data domain of record instead of relying on their own data set. | LOSHIN, D. 2001. Enterprise knowledge management: The data quality approach, Morgan Kaufmann Pub. More from this source |
| Reputation is the extent to which data are trusted or highly regarded in terms of their source or content. | SCANNAPIECO, M. & CATARCI, T. 2002. Data quality under a computer science perspective. Archivi & Computer, 2, 1-15. More from this source |
| The degree of reputation of an information object in a given community or culture. | STVILIA, B., GASSER, L., TWIDALE, M. B. & SMITH, L. C. 2007. A framework for information quality assessment. Journal of the American Society for Information Science and Technology, 58, 1720-1733. More from this source |
| Data are trusted or highly regarded in terms of their source and content. | WANG, R. Y. & STRONG, D. M. 1996. Beyond accuracy: What data quality means to data consumers. Journal of management information systems, 5-33. More from this source |
The implementation guidelines are guidelines to follow in regard to the characteristic. The scenarios are examples of the implementation
| Guidelines: | Scenario: |
|---|---|
| Asses the reputation of data sources | (1) Central Bank is the best source to get daily exchange rates |
| Evaluate the remedies for non-compliance of data | (1) Any remedies given by the source organisation to mitigate the losses in case if the information is of low quality |
| Rely on shared information sources created\recommended\used by the organisations operating in the industry | (1) In performing portfolios analysis most organisations use the risk factors produced by a central body of the economy (Central bank) |
Availability and Accessability |
Currency |
Reliability and Credibility |
Usability and Interpretability |
Leave a Reply
1 Comment on "Source quality"
You must be logged in to post a comment.
A great paper on source quality by Luna et al: Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Van Dang, Wilko Horn, Camillo Lugaresi, Shaohua Sun, and Wei Zhang. Knowledge-based trust: estimating the trustworthiness of web sources. In VLDB, 2015.