{"id":499946,"date":"2024-11-05T13:17:45","date_gmt":"2024-11-05T13:17:45","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/as-iso-iec-250242019\/"},"modified":"2024-11-05T13:17:45","modified_gmt":"2024-11-05T13:17:45","slug":"as-iso-iec-250242019","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/as\/as-iso-iec-250242019\/","title":{"rendered":"AS ISO\/IEC 25024:2019"},"content":{"rendered":"

The objective of this Standard is to define data quality measures for quantitatively measuring the data quality in terms of characteristics defined in AS\/NZS ISO\/IEC 25012. <\/p>\n

Scope<\/b><\/p>\n

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:
\u2014 a basic set of data quality measures for each characteristic;
\u2014 a basic set of target entities to which the quality measures are applied during the data-life-cycle;
\u2014 an explanation of how to apply data quality measures;
\u2014 a guidance for organizations defining their own measures for data quality requirements and evaluation.
It includes, as informative annexes, a synoptic table of quality measure elements defined in this International standard (Annex A), a table of quality measures associated to each quality measure element and target entitiy (Annex B), considerations about specific quality measure elements (Annex C), a list of quality measures in alphabetic order (Annex D), and a table of quality measures grouped by characteristics and target entities (Annex E).
This International Standard does not define ranges of values of these quality measures to rate levels or grades because these values are defined for each system by its nature depending on the system context and users' needs.
This International Standard can be applied to any kind of data retained in a structured format within a computer system used for any kinds of applications.
People managing data and services including data are the primary beneficiaries of the quality measures.
This International Standard is intended to be used by people who need to produce and\/or use data quality measures while pursuing their responsibilities.
\u2014 Acquirer (an individual or organization that acquires or procures data from a supplier).
\u2014 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).
\u2014 Developer (an individual or organization that performs development activities including requirements, analysis, design, implementation, and testing data during the data-life-cycle).
\u2014 Maintainer (an individual or organization that performs operation and maintenance activities of data).
\u2014 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).
\u2014 User (an individual or organization that uses data to perform a specific function).
\u2014 Quality manager (an individual or organization that performs a systematic examination of the data).
\u2014 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).
This International Standard takes into account a large range of data of target entities.
It can be applied in many types of information systems, for example, such as follows:
\u2014 legacy information system;
\u2014 data warehouse;
\u2014 distributed information system;
\u2014 cooperative information system;
\u2014 world wide web.
The scope does not include the following:
\u2014 knowledge representation;
\u2014 data mining techniques;
\u2014 statistical significance for random sample.<\/p>\n","protected":false},"excerpt":{"rendered":"

Systems and software engineering – Systems and software Quality Requirements and Evaluation (SQuaRE) – Measurement of data quality<\/b><\/p>\n\n\n\n\n
Published By<\/td>\nPublication Date<\/td>\nNumber of Pages<\/td>\n<\/tr>\n
AS<\/b><\/a><\/td>\n2019-06-28<\/td>\n57<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"featured_media":499957,"template":"","meta":{"rank_math_lock_modified_date":false,"ep_exclude_from_search":false},"product_cat":[665,2633],"product_tag":[],"class_list":{"0":"post-499946","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-35-080","7":"product_cat-as","9":"first","10":"instock","11":"sold-individually","12":"shipping-taxable","13":"purchasable","14":"product-type-simple"},"_links":{"self":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product\/499946","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/types\/product"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media\/499957"}],"wp:attachment":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media?parent=499946"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_cat?post=499946"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_tag?post=499946"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}