Exploring Whether Data Can be Represented as a Composite Unit in Form Processing Using the Manufacturing of Information Approach
| Autor: | Mónica del C. Blasco-Lòpez, Rabindranarth Romero-Lopez, Rafael Díaz-Sobac, Mathias Glaus, Robert Hausler |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Computer science
Data classification information quality 02 engineering and technology composite data computer.software_genre External Data Representation information output Simple (abstract algebra) 020204 information systems 0202 electrical engineering electronic engineering information engineering data quality Relevance (information retrieval) data classification Representation (mathematics) Block (data storage) lcsh:T58.5-58.64 lcsh:Information technology 05 social sciences Information quality data input IQ assessment manufacturing of information information products Data quality Data mining data representation 0509 other social sciences 050904 information & library sciences computer Information Systems |
| Zdroj: | Information, Vol 10, Iss 5, p 156 (2019) Information Volume 10 Issue 5 |
| ISSN: | 2078-2489 |
| Popis: | Data and information quality have been recognized as essential components for improving business efficiency. One approach for the assessment of information quality (IQ) is the manufacturing of information (MI). So far, research using this approach has considered a whole document as one indivisible block, which allows document evaluation only at a general level. However, the data inside the documents can be represented as components, which can further be classified according to content and composition. In this paper, we propose a novel model to explore the effectiveness of representing data as a composite unit, rather than indivisible blocks. The input data sufficiency and the relevance of the information output are evaluated in the example of analyzing an administrative form. We found that the new streamlined form proposed resulted in a 15% improvement in IQ. Additionally, we found the relationship between the data quantity and IQ was not a &ldquo simple&rdquo correlation, as IQ may increase without a corresponding increase in data quantity. We conclude that our study shows that the representation of data as a composite unit is a determining factor in IQ assessment. |
| Databáze: | OpenAIRE |
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