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Systems and software engineering. Systems and software Quality Requirements and Evaluation (SQuaRE). Measurement of data quality. | Status: Confirmed, Current
description
1 Scope
This International Standard defines data quality measures for quantitatively measuring the data quality in terms of characteristics defined in ISO/IEC 25012.
This International Standard contains the following:
- — a basic set of data quality measures for each characteristic;
- — a basic set of target entities to which the quality measures are applied during the data-life-cycle;
- — an explanation of how to apply data quality measures;
- — a guidance for organizations defining their own measures for data quality requirements and evaluation.
- — Acquirer (an individual or organization that acquires or procures data from a supplier).
- — Evaluator (an individual or organization that performs an evaluation, which can, for example, be a testing laboratory, the quality department of an organization, a government organization, or a user).
- — Developer (an individual or organization that performs development activities including requirements, analysis, design, implementation, and testing data during the data-life-cycle).
- — Maintainer (an individual or organization that performs operation and maintenance activities of data).
- — Supplier (an individual or organization that enters into a contract with the acquirer for the supply of data or service under the terms of the contract).
- — User (an individual or organization that uses data to perform a specific function).
- — Quality manager (an individual or organization that performs a systematic examination of the data).
- — Owner (an individual or organization that takes responsibility for the management and financial value of the data with the legal authority and responsibility to establish for them evaluation, collections, access, dissemination, storage, security, and cancellation).
- — legacy information system;
- — data warehouse;
- — distributed information system;
- — cooperative information system;
- — world wide web.
- — knowledge representation;
- — data mining techniques;
- — statistical significance for random sample.
Details
Publisher
BS
File size
1.61 MB
Pages
56
Format
PDF
Publication date
2015-10-31
ISBN-13
978-0-580-82311-4
ISBN-13 plain
9780580823114
ISBN-10
0580823114