Continuity of data access

Compare with other Characteristic

Characteristic Name:	Continuity of data access
Definition:	The technology infrastructure should not prohibit the speed and continuity of access to the data for the users
Dimension:	Availability and Accessability
Granularity:	Information object
Characteristic Type:	Usage
Implementation Form:	Process-bases approacd

Verification Metric:

The number of tasks failed or under performed due to the lack of continuity in data access

The number of complaints received due to lack of continuity in data access

Validation Metric:

To what extent required capabilities and skills have been implemented to improve the data usage of a task

BackgroundGuidelines

The original definitions given below formed the basis of the consolidated definition of the characteristic.

Definition:	Source:
1) Is there a continuous and unobstructed way to get to the information? 2) Can the infrastructure match the user’s working pace?	EPPLER, M. J. 2006. Managing information quality: increasing the value of information in knowledge-intensive products and processes, Springer. More from this source
Data is easy and quick to retrieve.	PRICE, R. J. & SHANKS, G. Empirical refinement of a semiotic information quality framework. System Sciences, 2005. HICSS'05. Proceedings of the 38th Annual Hawaii International Conference on, 2005. IEEE, 216a-216a. More from this source
1) availability of a data source or a system. 2) Accessibility expresses how much data are available or quickly retrievable. 3) The frequency of failures of a system, its fault tolerance.	SCANNAPIECO, M. & CATARCI, T. 2002. Data quality under a computer science perspective. Archivi & Computer, 2, 1-15. More from this source

Definition:

Source:

1) Is there a continuous and unobstructed way to get to the information?

2) Can the infrastructure match the user’s working pace?

EPPLER, M. J. 2006. Managing information quality: increasing the value of information in knowledge-intensive products and processes, Springer. More from this source

Data is easy and quick to retrieve.

PRICE, R. J. & SHANKS, G. Empirical refinement of a semiotic information quality framework. System Sciences, 2005. HICSS'05. Proceedings of the 38th Annual Hawaii International Conference on, 2005. IEEE, 216a-216a. More from this source

1) availability of a data source or a system.

2) Accessibility expresses how much data are available or quickly retrievable.

3) The frequency of failures of a system, its fault tolerance.

SCANNAPIECO, M. & CATARCI, T. 2002. Data quality under a computer science perspective. Archivi & Computer, 2, 1-15. More from this source

The implementation guidelines are guidelines to follow in regard to the characteristic. The scenarios are examples of the implementation

Guidelines:	Scenario:
Convenient and efficient platform should be made available to access data depending on the task at hand	(1) For a sales person, a web based interface run on a smart device is more suitable to quickly access data
Speed of the data retrieval should be acceptable for users working pace	(1) For an online customer care executive, speedy retrieval of information is necessary since the customer cannot be kept waiting (2) With the growth of the database reports become slower (Anti example)
Continuous and unobstructed connectivity should be ensured for data retrievals	(1) Connection lost while accessing reports (Anti example)
Proper concurrency control has been implemented	(1) Controlling access to data by locks
Technological changes in the infrastructure/system should be handled in such a way that they should not make data inaccessible	(1) New version of the software does not provide access to " X out orders" since the new version does not allow the function "X out"

Continuity of data access

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