2021년 2월 17일 (수) 08:15에 Pythagoras0님의 편집

2021-02-17T08:15:06Z

Pythagoras0: /* 메타데이터 */ 새 문단

2020-12-26T12:21:24Z

메타데이터: 새 문단

Pythagoras0: /* 노트 */ 새 문단

2020-12-21T09:52:08Z

노트: 새 문단

새 문서

== 노트 ==

===위키데이터===
* ID : [https://www.wikidata.org/wiki/Q461671 Q461671]
===말뭉치===
# Unfortunately, this real-life example of compromised data integrity isn’t uncommon.<ref name="ref_932382cc">[https://www.talend.com/resources/what-is-data-integrity/ What is Data Integrity and Why Is It Important?]</ref>
# In this era of big data, when more pieces of information are processed and stored than ever, implementing measures that preserve the integrity of the data that’s collected is increasingly important.<ref name="ref_932382cc" />
# Understanding the fundamentals of data integrity and how it works is the first step in keeping data safe.<ref name="ref_932382cc" />
# Data integrity also refers to the safety of data in regards to regulatory compliance — such as GDPR compliance — and security.<ref name="ref_932382cc" />
# The overall intent of any data integrity technique is the same: ensure data is recorded exactly as intended (such as a database correctly rejecting mutually exclusive possibilities).<ref name="ref_2537a24a">[https://en.wikipedia.org/wiki/Data_integrity Data integrity]</ref>
# In short, data integrity aims to prevent unintentional changes to information.<ref name="ref_2537a24a" />
# Any unintended changes to data as the result of a storage, retrieval or processing operation, including malicious intent, unexpected hardware failure, and human error, is failure of data integrity.<ref name="ref_2537a24a" />
# Physical integrity often makes extensive use of error detecting algorithms known as error-correcting codes.<ref name="ref_2537a24a" />
# In this data-oriented age, when a vast quantity of data is being generated and stored, it is becoming increasingly important to preserve the integrity of the information that’s gathered.<ref name="ref_3a7bb71e">[https://www.astera.com/type/blog/data-integrity-in-a-database/ Data Integrity in a Database - Why Is It Important]</ref>
# In this article, we’ll dive into data integrity, its different types, importance, and the factors that impact it.<ref name="ref_3a7bb71e" />
# The term data integrity refers to the overall accuracy, completeness, and reliability of data.<ref name="ref_3a7bb71e" />
# Data integrity is preserved by an array of error-checking and validation procedures, rules, and principles executed during the integration flow designing phase.<ref name="ref_3a7bb71e" />
# This is where data integrity becomes key.<ref name="ref_6b28300f">[https://www.rapidionline.com/blog/data-integrity-what-and-why WHAT IS DATA INTEGRITY AND WHY IS IT IMPORTANT FOR YOU?]</ref>
# Data integrity refers to the accuracy and consistency of data stored in a database or a data warehouse.<ref name="ref_6b28300f" />
# Data with “integrity” is said to have a complete structure, i.e. all characteristics defining the data must be correct.<ref name="ref_6b28300f" />
# Some people talk about the physical integrity of data.<ref name="ref_6b28300f" />
# Data integrity refers to the accuracy and consistency (validity) of data over its lifecycle.<ref name="ref_45bfcdbb">[https://digitalguardian.com/blog/what-data-integrity-data-protection-101 What is Data Integrity? Definition, Best Practices & More]</ref>
# Data integrity can be compromised in several ways.<ref name="ref_45bfcdbb" />
# The term data integrity also leads to confusion because it may refer either to a state or a process.<ref name="ref_45bfcdbb" />
# Data integrity as a state defines a data set that is both valid and accurate.<ref name="ref_45bfcdbb" />
# When creating databases, attention needs to be given to data integrity and how to maintain it.<ref name="ref_f5d792a3">[https://database.guide/what-is-data-integrity/ What is Data Integrity?]</ref>
# Maintaining data integrity means making sure the data remains intact and unchanged throughout its entire life cycle.<ref name="ref_f5d792a3" />
# Referential integrity is concerned with relationships.<ref name="ref_f5d792a3" />
# Domain integrity concerns the validity of entries for a given column.<ref name="ref_f5d792a3" />
# That’s why it’s so important to prioritize preserving the integrity of your data.<ref name="ref_1d61b658">[https://humansofdata.atlan.com/2020/03/what-is-data-integrity/ What is Data Integrity and Why is It Important?]</ref>
# But wait, how is data integrity different from data quality?<ref name="ref_1d61b658" />
# If the quality is good, then the integrity isn’t compromised.<ref name="ref_1d61b658" />
# Data integrity requires your data to be consistent and accurate at all times.<ref name="ref_1d61b658" />
# Data integrity refers to the reliability and trustworthiness of data throughout its lifecycle.<ref name="ref_6cd50fe0">[https://www.varonis.com/blog/data-integrity/ What is Data Integrity and How Can You Maintain it?]</ref>
# Data integrity is not to be confused with data security.<ref name="ref_6cd50fe0" />
# Data integrity can be compromised through human error or, worse yet, through malicious acts.<ref name="ref_6cd50fe0" />
# So how do you know when your data has integrity?<ref name="ref_6cd50fe0" />
# Data integrity is about protecting data against improper maintenance, modification, or alteration.<ref name="ref_c342bf78">[https://www1.udel.edu/security/data/integrity.html Managing data integrity]</ref>
# Integrity has to do with the accuracy of information, including its authenticity and trustworthiness.<ref name="ref_c342bf78" />
# Information with low integrity concerns may be considered unimportant to precise operational functions or not necessary to vigorously check for errors.<ref name="ref_c342bf78" />
# Data integrity refers to the fact that data must be reliable and accurate over its entire lifecycle.<ref name="ref_f1387cb9">[https://blog.globalvision.co/quality/12-ways-to-reduce-data-integrity-risk/ What is Data Integrity? Importance & Best Practices of Data Integrity]</ref>
# Data integrity and data security go hand in hand, even though they’re separate concepts.<ref name="ref_f1387cb9" />
# Data integrity has become a serious issue over the past few years and therefore is a core focus of many enterprises.<ref name="ref_f1387cb9" />
# The FDA published a Data Integrity Guidance Document outlining compliance with CGMP that addresses the role of data integrity for industry.<ref name="ref_f1387cb9" />
# A major aspect of data integrity relates to who is allowed to change what data, so data authorization is a built-in feature of the Mendix Platform.<ref name="ref_efb5caab">[https://www.mendix.com/evaluation-guide/app-capabilities/data-integrity Data Integrity Tools - Validation Rules, Event Handlers, Access Rules]</ref>
# Referential integrity is added using delete behavior properties.<ref name="ref_efb5caab" />
# In many of our blogs, we are talking about how vital data integrity is.<ref name="ref_4fad0013">[https://www.youredi.com/blog/what-is-data-integrity What is data integrity?]</ref>
# Maintaining the integrity of the data has been especially challenging when data is shared across departments or organizations.<ref name="ref_4fad0013" />
# The goal of data integrity is to ensure that all necessary information is included in a message that was intended by the sender or data that is requested by the recipient.<ref name="ref_4fad0013" />
# It’s essential to mention already in the beginning that data integrity and data security are not the same.<ref name="ref_4fad0013" />
# Ensuring that your data maintains its integrity will help keep it free from outside influence and potential malicious intent.<ref name="ref_cce5ca2f">[https://www.technologynetworks.com/informatics/articles/what-is-data-integrity-343068 What Is Data Integrity?]</ref>
# Practices to preserve data integrity.<ref name="ref_cce5ca2f" />
# The steady increase in data generation has made data integrity and security paramount in keeping expensive and important intellectual property safe and secure.<ref name="ref_cce5ca2f" />
# Compliance with regulations will help to ensure that data integrity remains complete, unmanipulated and accurate for the lifetime of the data.<ref name="ref_cce5ca2f" />
# Data integrity refers to the overall completeness, accuracy, and consistency of data and processes during its entire lifecycle.<ref name="ref_4ed1f7d8">[https://www.waters.com/waters/ko_KR/Data-Integrity/nav.htm?cid=134942023 Data Integrity : Waters]</ref>
# Definition of Data Integrity Data Integrity is a process to ensure data is accurate and consistent over its lifecycle.<ref name="ref_c62e0da7">[https://phoenixnap.com/blog/what-data-integrity What is Data Integrity? Defined, Importance, & Best Practices]</ref>
# Data Integrity typically refers to computer data.<ref name="ref_c62e0da7" />
# The Importance of Data Integrity Critical business decisions depend on accurate data.<ref name="ref_c62e0da7" />
# Data integrity is crucial because it’s a window into the organization.<ref name="ref_c62e0da7" />
# This section describes the rules that can be applied to table columns to enforce different types of data integrity.<ref name="ref_ee743947">[https://docs.oracle.com/cd/B28359_01/server.111/b28318/data_int.htm Data Integrity]</ref>
# Referential integrity also includes the rules that dictate what types of data manipulation are allowed on referenced values and how these actions affect dependent values.<ref name="ref_ee743947" />
# How Oracle Database Enforces Data Integrity Oracle Database enables you to define and enforce each type of data integrity rule defined in the previous section.<ref name="ref_ee743947" />
# Most of these rules are easily defined using either integrity constraints or database triggers (stored database procedures automatically invoked on insert, update, or delete operations).<ref name="ref_ee743947" />
# As an example of data integrity, consider the tables employees and departments and the business rules for the information in each of the tables, as illustrated in Figure 21-1.<ref name="ref_3170105a">[https://docs.oracle.com/cd/B12037_01/server.101/b10743/data_int.htm 21 Data Integrity]</ref>
# How Oracle Enforces Data Integrity Oracle enables you to define and enforce each type of data integrity rule defined in the previous section.<ref name="ref_3170105a" />
# Most of these rules are easily defined using integrity constraints or database triggers.<ref name="ref_3170105a" />
# An integrity constraint is a declarative method of defining a rule for a column of a table.<ref name="ref_3170105a" />
# Regulatory focus and expectations are increasing on the data life cycle within the broader area of managing and maintaining data integrity.<ref name="ref_f6f0443f">[https://www.isa.org/intech-home/2017/july-august/features/data-integrity Data integrity- ISA]</ref>
# A lot of people think of data integrity as purely electronic, but it is important to remember that it includes the paper as well.<ref name="ref_f6f0443f" />
# Manufacturers have the obligation to maintain the integrity of the data all the way through the supply chain to the patient.<ref name="ref_f6f0443f" />
# Massingham discussed the acronym ALCOA, which has been around since the 1990s and is used as a framework for ensuring data integrity.<ref name="ref_f6f0443f" />
# Data Integrity is an critical requirement, which is defined in many ways.<ref name="ref_21948bdb">[https://www.blazent.com/three-key-requirements-achieve-data-integrity/ The Three Key Requirements to Achieve Data Integrity - Blazent]</ref>
# This is one of the harder data integrity issues to resolve.<ref name="ref_21948bdb" />
# Achieving and maintaining data integrity can be done using various error-checking methods, such as normalization and validation procedures.<ref name="ref_21948bdb" />
# To learn more about the importance of good data integrity in an IT Service and Operations Management context, read Blazent’s white paper on Data Powered IT Service Management white paper here.<ref name="ref_21948bdb" />
# Data integrity is the assurance that digital information is uncorrupted and can only be accessed or modified by those authorized to do so.<ref name="ref_b868d845">[https://searchdatacenter.techtarget.com/definition/integrity Definition from WhatIs.com]</ref>
# To maintain integrity, data must not be changed in transit and steps must be taken to ensure that data cannot be altered by an unauthorized person or program.<ref name="ref_b868d845" />
# Other measures include the use of checksums and cryptographic checksums to verify integrity.<ref name="ref_b868d845" />
# Right now, data integrity is a good that we know we need — and it’s not too late for action.<ref name="ref_b0baed91">[https://hbr.org/2020/10/your-board-needs-a-data-integrity-committee Your Board Needs a Data-Integrity Committee]</ref>
# Few corporations have responded to the pervasive risks and rewards of data integrity.<ref name="ref_b0baed91" />
# In most C-suites, data integrity has no specific guardian in the corporate governance structure; audit committees see it as sitting on the periphery of their financial reporting responsibilities.<ref name="ref_b0baed91" />
# Reliable strength in data security, data optimization, and underlying data integrity is a reasonable expectation for shareholders of public corporations.<ref name="ref_b0baed91" />
# We formalize the security requirement for identity-based cloud data integrity auditing mechanism.<ref name="ref_915d6f28">[https://www.sciencedirect.com/science/article/pii/S0167739X16300164 Cloud data integrity checking with an identity-based auditing mechanism from RSA]</ref>
# We provide a concrete construction of identity-based cloud data integrity checking protocol.<ref name="ref_915d6f28" />
# Abstract Cloud data auditing is extremely essential for securing cloud storage since it enables cloud users to verify the integrity of their outsourced data efficiently.<ref name="ref_915d6f28" />
# A lot of attention has always been paid to the “integrity” of data and to the proper management of documentation.<ref name="ref_1d8492d4">[https://www.akka-technologies.com/data-integrity/ Akka Technologies]</ref>
# The growing issues of data integrity across life science companies means that organizations need to be able to adapt rapidly to prevent violations and regulatory consequences.<ref name="ref_f22ee669">[https://www2.deloitte.com/tz/en/pages/life-sciences-and-healthcare/articles/data-integrity-life-sciences.html Data integrity in life sciences]</ref>
# The integrity – and thus reliability – of data is the first requirement to reach this goal.<ref name="ref_99a071ca">[https://vivenics.com/data-integrity/ Data integrity]</ref>
# The task then is to start with assessing all automated lab systems with regards to data integrity, using a comprehensive checklist covering all data integrity requirements.<ref name="ref_99a071ca" />
# Based on the outcome, we draw up an action plan for each individual system in order to make it 100% data integrity proof.<ref name="ref_99a071ca" />
# When building on an already well-developed data integrity culture, we can also ‘educate’ users on how to further improve the handling of raw, electronic data for data integrity purposes.<ref name="ref_99a071ca" />
# When data integrity is not maintained, time is wasted fixing mistakes, the company’s reputation and brand are put at risk, and relationships with partners and stakeholders are harmed.<ref name="ref_837916ca">[https://www.pricefx.com/why-your-organization-should-be-concerned-about-data-integrity/ Why Your Organization Should Be Concerned About Data Integrity]</ref>
# Data integrity management is an ongoing process that requires the establishment of clear guidelines strictly implemented throughout the organization.<ref name="ref_837916ca" />
# A data integrity policy outlines clear protocols on how to handle data and how to ensure data quality and reliability.<ref name="ref_837916ca" />
# Your data integrity management system should ensure that your database is designed and authenticated through ongoing error checking and data validation.<ref name="ref_837916ca" />
# Data integrity refers to the need to ensure that data remains valid and accurate, with alterations only through authorized processes.<ref name="ref_173c0eb6">[https://www.f5.com/services/resources/glossary/data-integrity Data Integrity]</ref>
# A wide variety of factors can impact data integrity, from security to breaches to hardware failures, causing sensitive data to be lost or compromised.<ref name="ref_173c0eb6" />
# F5's iRules and TMOS technologies can help organizations optimize application security and data integrity.<ref name="ref_173c0eb6" />
# If pharmaceutical companies can follow ALCOA+ principles of data management, it is much easier to prove data integrity during regulatory audits.<ref name="ref_059f59ff">[https://www.labtwin.com/blog/the-importance-of-alcoa-data-integrity-in-gmp The Importance of ALCOA+ Data Integrity in cGMP]</ref>
# To learn more about how voice entry can improve ALCOA+ GMP data integrity, read this white paper.<ref name="ref_059f59ff" />
# However recently the issue of data integrity in these industries is becoming a hot topic among regulators – in particular in Europe and North America.<ref name="ref_f2b00e82">[https://www.dataworks.ie/the-fundamentals-of-data-integrity-alcoa/ THE FUNDAMENTALS OF DATA INTEGRITY: ALCOA+]</ref>
# The FDA issued 74 warning letters with findings on data integrity issues between January 2014 and January 2016.<ref name="ref_f2b00e82" />
# Heightened concern about the quality of data has been reflected in the number of new guidelines on data integrity being issued by the worlds’ leading regulatory bodies.<ref name="ref_f2b00e82" />
# In March 2017 the International Society of Pharmaceutical Engineering have issued a new GAMP guide on Records and Data Integrity.<ref name="ref_f2b00e82" />
# However, many controllers actually allow the operating system to interact with the integrity metadata (IMD).<ref name="ref_6da9e67c">[https://www.kernel.org/doc/html/latest/block/data-integrity.html Data Integrity — The Linux Kernel documentation]</ref>
# The SCSI Data Integrity Field works by appending 8 bytes of protection information to each sector.<ref name="ref_6da9e67c" />
# The data + integrity metadata is stored in 520 byte sectors on disk.<ref name="ref_6da9e67c" />
# This allows the integrity metadata to be generated by Linux or the application at very low cost (comparable to software RAID5).<ref name="ref_6da9e67c" />
# That’s why maintaining both data security and data integrity are an important part of keeping your business running smoothly.<ref name="ref_eca5f294">[https://www.lepide.com/blog/how-you-can-improve-data-integrity-in-3-easy-steps/ What is Data Integrity and How do Reduce Data Integrity Risk]</ref>
# There are many potential failures of data integrity that can be damaging to a business, including malicious insiders, accidental error and system crashes.<ref name="ref_eca5f294" />
# There are numerous types of threats that can compromise data integrity, from the accidental negligent employee to the malicious attacker.<ref name="ref_eca5f294" />
# There are a few ways to tell whether your data has integrity.<ref name="ref_eca5f294" />
# At PACIV we are at the forefront of both, the technological aspects of achieving Data Integrity as well as the regulations (FDA) for achieving data integrity compliance.<ref name="ref_2305ff2d">[https://paciv.com/services/data-integrity/ Do you want to achieve data integrity? Start here!]</ref>
# Data integrity, in this environment, refers to the state of your data.<ref name="ref_9eb735a1">[https://gadellnet.com/blog/data-integrity/ Data Integrity: What It Is + Best Practices for Businesses]</ref>
# Data integrity ensures your data is recoverable, searchable, traceable (to origin), and connected.<ref name="ref_9eb735a1" />
# Data integrity is a focus in many cybersecurity and data security plans – meaning, as part of your own cybersecurity process, data integrity needs to be built-in.<ref name="ref_9eb735a1" />
# An entire process for data integrity needs to be established in your company, set into motion, and audited for compliance.<ref name="ref_9eb735a1" />
# The Data Archiving should only be possible when the documents validity, accessibility, readability and integrity is checked and proved.<ref name="ref_8ae252b7">[https://www.qualipharmagroup.com/en/csv/data-integrity Qualipharma CSV]</ref>
# The way to demonstrate a system data integrity is through the system validation.<ref name="ref_8ae252b7" />
# The Data Integrity incorporation must be considered as an integral element in the global management system of the company and not as separate part.<ref name="ref_8ae252b7" />
# Data integrity compliance tends to be reactive and many see data as a liability.<ref name="ref_c06ad6a9">[https://www.nne.com/techtalk/how-data-integrity-brings-you-closer-to-digital-transformation/ How can data integrity bring you closer to digital transformation?]</ref>
# Warning letters related to data integrity have increased in recent years.<ref name="ref_c06ad6a9" />
# Ultimately, regulations related to data integrity can either hinder or propel us forward.<ref name="ref_c06ad6a9" />
# Data integrity and modernizing quality management go hand in hand.<ref name="ref_c06ad6a9" />
===소스===
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 * ID :  [https://www.wikidata.org/wiki/Q461671 Q461671]

← 이전 판		2020년 12월 26일 (토) 12:21 판
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		+	* ID : [https://www.wikidata.org/wiki/Q461671 Q461671]

데이터 무결성 - 편집 역사

2021년 2월 17일 (수) 08:15에 Pythagoras0님의 편집

Pythagoras0: /* 메타데이터 */ 새 문단

Pythagoras0: /* 노트 */ 새 문단