scholarly journals Towards the Discovery of Data Quality Attributes for Web Portals

Author(s):  
Carmen Moraga ◽  
Ma Ángeles Moraga ◽  
Coral Calero ◽  
Ángélica Caro
Author(s):  
Angelica Caro ◽  
Coral Calero ◽  
Ismael Caballero ◽  
Mario Piattini

Author(s):  
Angélica Caro ◽  
Coral Calero ◽  
Ismael Caballero ◽  
Mario Piattini

Author(s):  
Carmen Moraga ◽  
Angelica Caro ◽  
Rodrigo Romo Munoz ◽  
Maria Moraga ◽  
Coral Calero
Keyword(s):  

2013 ◽  
Vol 11 ◽  
pp. 834-839 ◽  
Author(s):  
Saeid Saberi ◽  
Masnizah Mohd

2010 ◽  
pp. 777-792
Author(s):  
Angélica Caro ◽  
Coral Calero ◽  
Mario Piattini

Web portals are Internet-based applications that provide a big amount of data. The data consumer who uses the data given by these applications needs to assess data quality. Due to the relevance of data quality on the Web together with the fact that DQ needs to be assessed within the context in which data are generated, data quality models specific to this context are necessary. In this chapter, we will introduce a model for data quality in Web portals (PDQM). PDQM has been built upon the foundation of three key aspects: (1) a set of Web data quality attributes identified in the literature in this area, (2) data quality expectations of data consumers on the Internet, and (3) the functionalities that a Web portal may offer its users.


Sign in / Sign up

Export Citation Format

Share Document