data integrity
[data quality] The degree to which the data in a database is accurate and consistent according to data model and data type.
Data Integrity
Refers to the consistency and accuracy of data that is stored in a database.
Data Mining
The practice of searching through datasets to find patterns and trends. See: Spatial Data Mining.
data integrityMaintenance of data values according to data model and data type. For example, to maintain integrity, numeric columns will not accept alphabetic data. See referential integrity.
* Navigation Data Integrity. Navigation data can be authenticated (with cryptographic authentication schemes such as Message Authentication Schemes [MAC] or digital signatures).
assure security/data integrity through the use of protected passwords and other appropriate means;
include from the vendor, functional and tested user documentation including user manual and help screens; ...
Configuring equipment standards ensures consistency and data integrity throughout projects. Configuration includes information that defines the equipment type, model, specifications, manufacturer, and other relevant information.
One way to improve Data Integrity is to field-validate the Data. In the field, an underground worker can do the electronic manhole inspection, and at the same time, take digital pictures of the walls and duct layouts.
Topology defines and enforces data integrity rules (for example, there should be no gaps between polygons).
Maintain data integrity by allowing organizations to easily share the authoritative version of data among its users.
A transaction mechanism, that ideally would guarantee the ACID properties, in order to ensure data integrity, despite concurrent user accesses (concurrency control), and faults (fault tolerance).
In addition to their data model, most practical databases attempt to enforce a database transaction model that has desirable data integrity properties. Ideally, the database software should enforce the ACID rules: ...
PCHA and FPA will not be able to access the shapefiles if you don't ensure the following GIS data integrity rules: ...
After data are collected and integrated, GIS provides facilities which can contain and maintain data. Effective data management includes all of the following aspects: data security, data integrity, data storage and retrieval, ...
This type of data model is outdated in the GIS arena. It lacks any method of checking data integrity, as well as being inefficient with respect to data storage, e.g. limited indexing capability for attributes or records, etc.
To ensure data integrity, estimated point localities would need to be verified and documented as such in GRIN (Steiner and Greene 1996). On-site ecogeographic description is also limited and varies with collection.
ODBC but to then cache and update the source directly with no intermediate copies stored locally. The key advantages of this feature are improved multi-user access to central databases with reduced local data redundancy and enhanced data integrity.
 See also: Information, GIS, Database, Software, Model
  
|
RSS
