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ISO/IEC 38505-1:2017
信息技術(shù). IT規(guī)制. 數(shù)據(jù)治理. 第1部分: ISO/IEC 38500數(shù)據(jù)治理應(yīng)用

Information technology - Governance of IT - Governance of data - Part 1: Application of ISO/IEC 38500 to the governance of data


標(biāo)準(zhǔn)號
ISO/IEC 38505-1:2017
發(fā)布
2017年
總頁數(shù)
28頁
發(fā)布單位
國際標(biāo)準(zhǔn)化組織
當(dāng)前最新
ISO/IEC 38505-1:2017
 
 
引用標(biāo)準(zhǔn)
ISO 31000:2009 ISO/IEC 17788:2014 ISO/IEC 20546 ISO/IEC 20889 ISO/IEC 27000:2016 ISO/IEC 27002:2013 ISO/IEC 27017:2015 ISO/IEC 27018:2014 ISO/IEC 29100:2011 ISO/IEC 38500:2015 ISO/IEC TR 38502:2014 ISO/IEC TS 38501:2015 ISO/TR 31004:2013
 
 
本體
數(shù)據(jù)治理
適用范圍
本文件為組織管理機構(gòu)成員（包括所有者、董事、合伙人、高級管理人員或類似人員）提供指導(dǎo)原則，指導(dǎo)其在組織內(nèi)有效、高效且可接受地使用數(shù)據(jù)，具體做法是將 ISO/IEC 38500 的治理原則和模型應(yīng)用于數(shù)據(jù)治理；向利益相關(guān)者保證，如果遵循本文件提出的原則和實踐，他們就能對組織的數(shù)據(jù)治理充滿信心；為管理機構(gòu)在其組織內(nèi)使用和保護數(shù)據(jù)提供信息和指導(dǎo)；并建立數(shù)據(jù)治理詞匯表。本文件還可以為更廣泛的群體提供指導(dǎo)，包括高級管理人員；外部業(yè)務(wù)或技術(shù)專家，例如法律或會計專家、零售或行業(yè)協(xié)會或?qū)I(yè)機構(gòu)；內(nèi)部和外部服務(wù)提供商（包括顧問）；以及審計師。本文件適用于對 IT 系統(tǒng)創(chuàng)建、收集、存儲或控制的數(shù)據(jù)的當(dāng)前和未來使用進行治理，并影響與數(shù)據(jù)相關(guān)的管理流程和決策。本文件適用于所有組織，包括上市公司和私營公司、政府實體和非營利組織。本文檔適用于從最小到最大的各種規(guī)模的組織，無論其對數(shù)據(jù)的依賴程度如何。
術(shù)語描述
匿名化
Anonymization		Process by which personally identifiable information (PII) is irreversibly altered in such a way that a PII principal can no longer be identified directly or indirectly either by the PII controller alone or in collaboration with any other party.
大數(shù)據(jù)
Big Data		Data set(s) with characteristics (e.g., volume, velocity, variety, variability, veracity, etc.) that for a particular problem domain at a given point in time cannot be efficiently processed using current/existing/established/traditional technologies and techniques in order to extract value.
云計算
Cloud Computing		Paradigm for enabling network access to a scalable and elastic pool of shareable physical or virtual resources with self-service provisioning and administration on-demand.
數(shù)據(jù)問責(zé)
Data Accountability		Accountability for data and its use.
去標(biāo)識化
De-identification		General term for any process of removing the association between a set of identifying data and the data subject.
物聯(lián)網(wǎng)
Internet of Things		Global infrastructure for the information society enabling advanced services by interconnecting (physical and virtual) things based on existing and evolving, interoperable information and communication technologies.
機器學(xué)習(xí)
Machine Learning		Process using algorithms rather than procedural coding that enables learning from existing data in order to predict future outcomes.
假名化
Pseudonymization		Process applied to personally identifiable information (PII) which replaces identifying information with an alias.
個人可識別信息
Personally Identifiable Information		Any information that (a) can be used to identify the PII principal to whom such information relates, or (b) is or might be directly or indirectly linked to a PII principal.
PII主體
PII Principal		Natural person to whom the personally identifiable information (PII) relates.

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