Information quality (InfoQ) is the potential of a
data set A data set (or dataset) is a collection of data. In the case of tabular data, a data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a given record of the ...
to achieve a specific (scientific or practical) goal using a given
empirical analysis method.
Definition
Formally, the definition is
InfoQ = U(X,f, g) where X is the data, f the analysis method, g the goal and U the utility function. InfoQ is different from
data quality
Data quality refers to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is generally considered high quality if it is "fit for tsintended uses in operations, decision making a ...
and
analysis quality, but is dependent on these components and on the relationship between them.
InfoQ has been applied in a wide range of domains like healthcare, customer surveys, data science programs, advanced manufacturing and Bayesian network applications.
Kenett and
Shmueli (2014) proposed eight dimensions to help assess InfoQ and various methods for increasing InfoQ: Data resolution,
Data structure, Data integration, Temporal relevance, Chronology of data and goal,
Generalization
A generalization is a form of abstraction whereby common properties of specific instances are formulated as general concepts or claims. Generalizations posit the existence of a domain or set of elements, as well as one or more common characte ...
,
Operationalization
In research design, especially in psychology, social sciences, life sciences and physics, operationalization or operationalisation is a process of defining the measurement of a phenomenon which is not directly measurable, though its existence is in ...
, Communication.
References
Data
Research methods
Statistical analysis
Information
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