cover image: CSP working paper series: 02B/01/2023   - Identifying Data Quality Dimensions

20.500.12592/d9401m

CSP working paper series: 02B/01/2023 - Identifying Data Quality Dimensions

13 Jan 2023

The primary objective of the report is to identify potential dimensions that can be used to assess the overall quality of the dataset. [...] To evaluate the nature of these data qualities, the 7 study employs the belief-function framework under heterogeneous scenarios (i.e., online users and assurance providers) that capture the impact of data quality. [...] The study also compares the data quality requirement between a statistician and a data user to combine the quality dimensions. [...] Timeliness: Timeliness is a time-related data dimension of the data quality, indicating the time lag between the occurrence of an event and the availability of the corresponding data to support the decision-making based on data. [...] Conclusion: This present report tries to provide a general overview of data quality and identifies the potential data quality dimensions to define the quality of a database.

Authors

Debarun Sengupta

Pages
16
Published in
India