Empowering Data Consumers to Work with Data: Data Documentation for the Enterprise Context

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						@Select Types{,
							 
							 
							 
							 
							 
							Journal   = "Band-1",
							 Title= "Empowering Data Consumers to Work with Data: Data Documentation for the Enterprise Context", 
							Author= "Clément Labadie, Markus Eurich, Christine Legner", 
							Doi= "https://doi.org/10.30844/wi_2020_m7-labadie", 
							 Abstract= "Enterprises that are engaging in digital transformation need to empower an increasing number of data consumers (sometimes referred to as “data citizens”) to work with data. A prerequisite is data documentation – data assets should be inventoried and well-described to facilitate data selection by non-data experts, who need to both find and understand them. This research paper proposes a reference model for data documentation in the enterprise context. It was developed in collaboration with 25 large enterprises, following a Design Science Research process. Compared to existing metadata standards that contain flat lists of metadata attributes, the reference model organizes metadata objects in logical and physical layers and features views dedicated to usage and governance contexts. It thereby improves maintenance and consistency in data documentation, when dealing with hundreds of interdependent data resources, and allows to express inherent relationships between metadata attributes.", 
							 Keywords= "metadata, data documentation, reference model, design science research.", 
							}
					
Clément Labadie, Markus Eurich, Christine Legner: Empowering Data Consumers to Work with Data: Data Documentation for the Enterprise Context. Online: https://doi.org/10.30844/wi_2020_m7-labadie (Abgerufen 06.12.22)

Abstract

Abstract

Enterprises that are engaging in digital transformation need to empower an increasing number of data consumers (sometimes referred to as “data citizens”) to work with data. A prerequisite is data documentation – data assets should be inventoried and well-described to facilitate data selection by non-data experts, who need to both find and understand them. This research paper proposes a reference model for data documentation in the enterprise context. It was developed in collaboration with 25 large enterprises, following a Design Science Research process. Compared to existing metadata standards that contain flat lists of metadata attributes, the reference model organizes metadata objects in logical and physical layers and features views dedicated to usage and governance contexts. It thereby improves maintenance and consistency in data documentation, when dealing with hundreds of interdependent data resources, and allows to express inherent relationships between metadata attributes.

Keywords

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metadata, data documentation, reference model, design science research.

References

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Leider ist der Eintrag nur auf Amerikanisches Englisch verfügbar.

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