Data quality requirements template

The data checklist should also include the timeliness of the data reported. The timestamp should be checked to confirm the version of data received is the most current. Finally, the data should be checked for consistency. The information that is being reviewed and submitted should be the same in all of the departments within the organization. This will help to improve efficiency and maintain good customer relations. In need of data quality solution?

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RingLead is the only cloud-based, fully scalable data management solution that will help your team reach peak performance, with minimal effort. You must be logged in to post a comment. ZoomInfo acquires RingLead. Hit enter to search or ESC to close. Data Quality Checklist Template Basic Data Checks This part of the template should include the tasks that are performed every time the data is reviewed.

As defined by the International Organization for Standardization ISO , these components include the following: Completeness Logical consistency Spatial accuracy Thematic accuracy Temporal quality Data usability Completeness The presence or absence of features, their attributes, and relationships in a data model. A neighborhood with missing building footprint. Logical consistency A degree of adherence to preestablished rules of a data model's structure, attribution, and relationships as defined by an organization or industry.

A highway with road surface-type gravel. Spatial accuracy The accuracy of the position of features in relation to Earth. A lake feature that has been shifted. Thematic accuracy The accuracy of attributes within features and their appropriate relationships.

A swimming pool captured as wetland. Temporal quality The quality of temporal attributes and temporal relationship of features. An outdated chart with open runway. An updated chart with closed runway.

Data usability Adherence of a dataset to a specific set of requirements related to a use-case. This is used to map national parks. This is used to route emergency vehicles. Quality requirement documentation A quality assurance QA plan is a document that identifies the quality standards that are relevant to a project and methods to achieve them. In this topic Data quality elements Quality requirement documentation.

Functional Requirement. Data Requirement—Logical consistency. Data Requirement—Spatial accuracy. Data Requirement—Thematic accuracy. Close Privacy Overview This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website.

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