A Process View of Data Quality
A Process View of Data Quality
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In our eReader you can find the full English version of the book. Read A Process View of Data Quality Online - link to read the book on full screen. Our eReader also allows you to upload and read Pdf, Txt, ePub and fb2 books. In the Mini eReder on the page below you can quickly view all pages of the book - Read Book A Process View of Data Quality
What reading level is A Process View of Data Quality book?
To quickly assess the difficulty of the text, read a short excerpt:
The required data is, for practical purposes, not in the database for the user, causmg incompleteness.
Accuracy and interpretability : As we include metadata in our definition of the data, inaccuracy in metadata is related to the interpretability of data. For example, if a wff were to express a child's height as of a certain date, then the date is metadata for the height value which makes it interpretable as to what the data is. Thus, inaccuracy in the date would affect the interpretability of ...the height.
Thus we see that interdependencies exist among dimensions often though of as independent.
5. DISCUSSION AND CONCLUSION A model of an information system has been presented in which data process quality was treated as a surrogate for data product quality. The model contains an explicit and orthogonal set of process constructs. Using the nrtodel we are able to develop five data quality dimension definitions: accuracy, completeness, relevance, timeliness, and interpretability. They are shown, under the explicitly stated assumptions of the model, to inter-relate in various ways.
What to read after A Process View of Data Quality?
You can find similar books in the "Read Also" column, or choose other free books by Henry B Kon to read onlineMoreLess
To quickly assess the difficulty of the text, read a short excerpt:
The required data is, for practical purposes, not in the database for the user, causmg incompleteness.
Accuracy and interpretability : As we include metadata in our definition of the data, inaccuracy in metadata is related to the interpretability of data. For example, if a wff were to express a child's height as of a certain date, then the date is metadata for the height value which makes it interpretable as to what the data is. Thus, inaccuracy in the date would affect the interpretability of ...the height.
Thus we see that interdependencies exist among dimensions often though of as independent.
5. DISCUSSION AND CONCLUSION A model of an information system has been presented in which data process quality was treated as a surrogate for data product quality. The model contains an explicit and orthogonal set of process constructs. Using the nrtodel we are able to develop five data quality dimension definitions: accuracy, completeness, relevance, timeliness, and interpretability. They are shown, under the explicitly stated assumptions of the model, to inter-relate in various ways.
What to read after A Process View of Data Quality?
You can find similar books in the "Read Also" column, or choose other free books by Henry B Kon to read onlineMoreLess
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