+14. pants Informācija, kas jāsniedz, ja personas dati nav iegūti no datu subjekta
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14. pants Informācija, kas jāsniedz, ja personas dati nav iegūti no datu subjekta
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1. Pārskats
| Nosaukums |
Regulējums |
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14. pants 1.
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Ja personas dati nav iegūti no datu subjekta, pārzinis datu subjektam sniedz šādu informāciju:
a)
pārziņa un attiecīgā gadījumā pārziņa pārstāvja identitāte un kontaktinformācija;
b)
attiecīgā gadījumā – datu aizsardzības speciālista kontaktinformācija;
c)
apstrādes nolūki, kam paredzēti personas dati, kā arī apstrādes juridiskais pamats;
d)
attiecīgo personas datu kategorijas;
e)
personas datu saņēmēji vai saņēmēju kategorijas, ja tādas ir;
f)
attiecīgā gadījumā – informācija, ka pārzinis paredz nosūtīt personas datus saņēmējam trešā valstī vai starptautiskai organizācijai, un informācija par to, ka eksistē vai neeksistē Komisijas lēmums par aizsardzības līmeņa pietiekamību, vai – 46. vai 47. pantā, vai 49. panta 1. punkta otrajā daļā minētās nosūtīšanas gadījumā – atsauce uz atbilstošām vai piemērotām garantijām un informācija par to, kā saņemt datu kopiju, vai to, kur tie ir darīti pieejami.
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14. pants 2.
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Papildus 1. punktā minētajai informācijai, pārzinis datu subjektam sniedz turpmāk norādīto informāciju, kas vajadzīga, lai nodrošinātu godprātīgu un pārredzamu apstrādi attiecībā uz datu subjektu:
a)
laikposms, cik ilgi personas dati tiks glabāti, vai, ja tas nav iespējams, kritēriji, ko izmanto minētā laikposma noteikšanai;
b)
pārziņa vai trešās personas leģitīmās intereses, ja apstrāde pamatojas uz 6. panta 1. punkta f) apakšpunktu;
c)
tas, ka pastāv tiesības pieprasīt no pārziņa piekļuvi datu subjekta personas datiem un to labošanu vai dzēšanu, vai apstrādes ierobežošanu attiecībā uz datu subjektu un tiesības iebilst pret apstrādi, kā arī tiesības uz datu pārnesamību;
d)
ja apstrāde pamatojas uz 6. panta 1. punkta a) apakšpunktu vai 9. panta 2. punkta a) apakšpunktu – tiesības jebkurā brīdī atsaukt piekrišanu, neietekmējot tādas apstrādes likumīgumu, kuras pamatā ir pirms atsaukuma sniegta piekrišana;
e)
tiesības iesniegt sūdzību uzraudzības iestādei;
f)
informācija par to, no kāda avota personas dati ir iegūti, un – attiecīgā gadījumā – informācija par to, vai dati iegūti no publiski pieejamiem avotiem;
g)
tas, ka pastāv automatizēta lēmumu pieņemšana, tostarp profilēšana, kas minēta 22. panta 1. un 4. punktā, un – vismaz minētajos gadījumos – jēgpilna informācija par tajā ietverto loģiku, kā arī šādas apstrādes nozīmīgumu un paredzamajām sekām attiecībā uz datu subjektu.
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14. pants 3.
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Pārzinis 1. un 2. punktā minēto informāciju sniedz:
a)
saprātīgā termiņā pēc personas datu iegūšanas, bet vēlākais mēneša laikā, ņemot vērā konkrētos apstākļus, kādos personas dati tiek apstrādāti;
b)
ja personas datus ir paredzēts izmantot saziņai ar datu subjektu – vēlākais tad, kad ar minēto datu subjektu notiek pirmā saziņa; vai
c)
vēlākais tad, kad personas dati pirmoreiz tiek izpausti, ja ir paredzēts tos izpaust citam saņēmējam.
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14. pants 4.
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Ja pārzinis paredz personas datus turpmāk apstrādāt citā nolūkā, kas nav nolūks, kādā personas dati tika iegūti, pārzinis pirms minētās turpmākās apstrādes informē datu subjektu par minēto citu nolūku un sniedz tam visu attiecīgo papildu informāciju, kā minēts 2. punktā.
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14. pants 5.
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Šā panta 1.–4. punktu nepiemēro, ja un ciktāl:
a)
informācija jau ir datu subjekta rīcībā;
b)
izrādās, ka šādas informācijas sniegšana nav iespējama vai tā prasītu nesamērīgi lielas pūles; jo īpaši attiecībā uz apstrādi arhivēšanas nolūkos sabiedrības interesēs, zinātniskās vai vēstures pētniecības nolūkos, vai statistikas nolūkos, ievērojot 89. panta 1. punktā minētos nosacījumus un garantijas, vai ciktāl šā panta 1. punktā minētie pienākumi varētu neļaut vai būtiski traucēt sasniegt minētās apstrādes mērķus. Šādos gadījumos pārzinis veic atbilstošus pasākumus, lai aizsargātu datu subjekta tiesības un brīvības, un leģitīmās intereses, tostarp darot informāciju publiski pieejamu;
c)
iegūšana vai izpaušana ir skaidri paredzēta Savienības vai dalībvalsts tiesību aktos, kuri ir piemērojami pārzinim un kuros ir paredzēti atbilstoši pasākumi datu subjekta leģitīmo interešu aizsardzībai; vai
d)
ir jāsaglabā personas datu konfidencialitāte, ievērojot dienesta noslēpuma glabāšanas pienākumu, ko reglamentē ar Savienības vai dalībvalsts tiesību aktiem, ieskaitot statūtos noteiktu pienākumu glabāt noslēpumu.
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1.1 Atsauces
1.2 Identificētās prasības
1.3 Saistītie standarti
2. Identificētās prasības
3. Saistītie standarti
Standarti
| Avots |
Prasība |
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SCF
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Data Privacy Program
Description
Mechanisms exist to facilitate the implementation and operation of data protection controls throughout the data lifecycle to ensure all forms of Personal Data (PD) are processed lawfully, fairly and transparently.
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Data privacy program
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ Data privacy program
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Data privacy program
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ Data privacy program
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ Data privacy program
SCR-CMM
Level 0 Not Performed
Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.
Level 1 Performed Informally
Privacy (PRI) domain capabilities are ad hoc and inconsistent. Capability criteria associated with this control may include: ▪ Policies, standards & procedures associated with PRI domain capabilities provide limited coverage due to the depth and breadth of the existing documentation. ▪ Data privacy-related activities are decentralized (e.g., a localized/regionalized function) and uses non-standardized methods to implement secure, resilient and compliant practices. ▪ No formal data privacy team exists. Privacy roles are assigned to existing IT / cybersecurity. ▪ Data/process owners are expected to take the initiative to work with Data Protection Officers (DPOs) to ensure applicable statutory, regulatory and contractual obligations are properly addressed, including the storage, transmission and processing of sensitive/regulated data. ▪ No formal data privacy principles are identified for the organization. ▪ Data/process owners perform their own Data Protection Impact Assessment (DPIA).
Level 2 Planned Tracked
Privacy (PRI) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with PRI domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with PRI domain capabilities are documented and maintained by process owners. ▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with PRI domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Data privacy management-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Data privacy management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel. ▪ A qualified individual is formally assigned as the Chief Privacy Officer (CPO), or similar role, to lead the organization's data privacy program. This individual may be assigned to multiple data privacy-related roles. ▪ The data privacy program is developed to work with IT and cybersecurity staff to ensure that applicable statutory, regulatory and/or contractual data privacy obligations for Personal Data (PD) are properly identified and implemented.
Level 3 Well Defined
Privacy (PRI) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with PRI domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function. ▪ Standardized Operating Procedures (SOP) associated with PRI domain capabilities are well-documented and kept current by process owners. ▪ A data privacy team, or similar function, is appropriately staffed and supported to implement and maintain PRI domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of data privacy operations (e.g., privacy notice management software and customer management solution). ▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with PRI domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls). ▪ An implemented and operational capability exists to facilitate the implementation and operation of data protection controls throughout the data lifecycle to ensure all forms of Personal Data (PD) are processed lawfully, fairly and transparently.
Level 4 Quantitatively Controlled
Privacy (PRI) capabilities, in addition to being standardized across the entity and centrally managed to ensure consistency across Technology Assets, Applications, Services and/or Data (TAASD), efforts are metrics driven to provide sufficient insight for decision makers to predict optimal performance, ensure continued operations and/or identify areas for improvement. Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Applicable SCR-CMM Level 3 (Well Defined) capabilities are implemented and operational. ▪ Metrics reporting includes quantitative analysis of Key Performance Indicators (KPIs). ▪ Metrics reporting includes quantitative analysis of Key Risk Indicators (KRIs). ▪ Scope of metrics, KPIs and KRIs covers organization-wide cybersecurity and data protection controls, including functions performed by third-parties. ▪ Organizational leadership maintains a formal process to objectively review and respond to metrics, KPIs and KRIs (e.g., monthly or quarterly review). ▪ Based on metrics analysis, process improvement recommendations are submitted for review and are handled in accordance with change control processes. ▪ Business and technical stakeholders are involved in reviewing and approving proposed changes to evolve capabilities.
Level 5 Continuously Improving
Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions: ▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control. ▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies. ▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
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SCF
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Personal Data (PD) Categories
Description
Mechanisms exist to define and implement data handling and protection requirements for specific categories of sensitive Personal Data (PD).
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
SCR-CMM
Level 0 Not Performed
Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.
Level 1 Performed Informally
SCR-CMM Level 1 criteria definitions are not available for this control: ▪ A reasonable person would conclude this control requires a structured process. ▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.
Level 2 Planned Tracked
Privacy (PRI) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with PRI domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with PRI domain capabilities are documented and maintained by process owners. ▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with PRI domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Data privacy management-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Data privacy management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel. ▪ The data privacy program is developed to work with IT and cybersecurity staff to ensure that applicable statutory, regulatory and/or contractual data privacy obligations for Personal Data (PD) are properly identified and implemented.
Level 3 Well Defined
Privacy (PRI) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with PRI domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function. ▪ Standardized Operating Procedures (SOP) associated with PRI domain capabilities are well-documented and kept current by process owners. ▪ A data privacy team, or similar function, is appropriately staffed and supported to implement and maintain PRI domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of data privacy operations (e.g., privacy notice management software and customer management solution). ▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with PRI domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls). ▪ An implemented and operational capability exists to define and implement data handling and protection requirements for specific categories of sensitive Personal Data (PD).
Level 4 Quantitatively Controlled
Utilize SCR-CMM Level 3 criteria definitions: ▪ There are no defined Level 4 criteria, since it is reasonable to assume a quantitatively-controlled process is not necessary to operationalize this control. ▪ While it may be possible to develop “metrics-driven” capabilities for this control, the criteria would be organization-specific to define.
Level 5 Continuously Improving
Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions: ▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control. ▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies. ▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
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SCF
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Data Privacy Notice
Description
Mechanisms exist to: (1) Make data privacy notice(s) available to individuals upon first interacting with an organization and subsequently as necessary; (2) Ensure that data privacy notices are clear and easy-to-understand, expressing relevant information about how Personal Data (PD) is collected, received, processed, stored, transmitted, shared, updated and/or disposed; (3) Contain all necessary notice-related criteria required by applicable statutory, regulatory and contractual obligations; (4) Define the scope of PD processing activities, including the geographic locations and third-party recipients that process the PD within the scope of the data privacy notice; (5) Periodically, review and update the content of the privacy notice, as necessary; and (6) Retain prior versions of the privacy notice, in accordance with data retention requirements.
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
SCR-CMM
Level 0 Not Performed
Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.
Level 1 Performed Informally
SCR-CMM Level 1 criteria definitions are not available for this control: ▪ A reasonable person would conclude this control requires a structured process. ▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.
Level 2 Planned Tracked
Privacy (PRI) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with PRI domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with PRI domain capabilities are documented and maintained by process owners. ▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with PRI domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Data privacy management-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Data privacy management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel. ▪ The data privacy program is developed to work with IT and cybersecurity staff to ensure that applicable statutory, regulatory and/or contractual data privacy obligations for Personal Data (PD) are properly identified and implemented. ▪ The CPO, or similar role, develops and ensures data privacy notices are published that include relevant purpose, notice and data privacy program information.
Level 3 Well Defined
Privacy (PRI) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with PRI domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function. ▪ Standardized Operating Procedures (SOP) associated with PRI domain capabilities are well-documented and kept current by process owners. ▪ A data privacy team, or similar function, is appropriately staffed and supported to implement and maintain PRI domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of data privacy operations (e.g., privacy notice management software and customer management solution). ▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with PRI domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls). ▪ An implemented and operational capability exists to: (1) Make data privacy notice(s) available to individuals upon first interacting with an organization and subsequently as necessary; (2) Ensure that data privacy notices are clear and easy-to-understand, expressing relevant information about how Personal Data (PD) is collected, received, processed, stored, transmitted, shared, updated and/or disposed; (3) Contain all necessary notice-related criteria required by applicable statutory, regulatory and contractual obligations; (4) Define the scope of PD processing activities, including the geographic locations and third-party recipients that process the PD within the scope of the data privacy notice; (5) Periodically, review and update the content of the privacy notice, as necessary; and (6) Retain prior versions of the privacy notice, in accordance with data retention requirements.
Level 4 Quantitatively Controlled
Privacy (PRI) capabilities, in addition to being standardized across the entity and centrally managed to ensure consistency across Technology Assets, Applications, Services and/or Data (TAASD), efforts are metrics driven to provide sufficient insight for decision makers to predict optimal performance, ensure continued operations and/or identify areas for improvement. Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Applicable SCR-CMM Level 3 (Well Defined) capabilities are implemented and operational. ▪ Metrics reporting includes quantitative analysis of Key Performance Indicators (KPIs). ▪ Metrics reporting includes quantitative analysis of Key Risk Indicators (KRIs). ▪ Scope of metrics, KPIs and KRIs covers organization-wide cybersecurity and data protection controls, including functions performed by third-parties. ▪ Organizational leadership maintains a formal process to objectively review and respond to metrics, KPIs and KRIs (e.g., monthly or quarterly review). ▪ Based on metrics analysis, process improvement recommendations are submitted for review and are handled in accordance with change control processes. ▪ Business and technical stakeholders are involved in reviewing and approving proposed changes to evolve capabilities.
Level 5 Continuously Improving
Privacy (PRI) capabilities, in addition to being standardized across the entity and centrally managed to ensure consistency across Technology Assets, Applications, Services and/or Data (TAASD), efforts are metrics driven to provide sufficient insight for decision makers to predict optimal performance, ensure continued operations and/or identify areas for improvement. Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Applicable SCR-CMM Level 3 (Well Defined) capabilities are implemented and operational. ▪ Based on predictive analysis, process improvements are implemented according to “continuous improvement” practices that affect process changes. ▪ Stakeholders make time-sensitive decisions to support operational efficiency, which may include automated remediation actions via Artificial Intelligence (AI) or Machine Learning (ML) technologies.
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SCF
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Purpose Specification
Description
Mechanisms exist to ensure data privacy notices identify the purpose(s) for which Personal Data (PD) is collected, received, processed, stored, transmitted and/or shared.
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
SCR-CMM
Level 0 Not Performed
Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.
Level 1 Performed Informally
SCR-CMM Level 1 criteria definitions are not available for this control: ▪ A reasonable person would conclude this control requires a structured process. ▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.
Level 2 Planned Tracked
Privacy (PRI) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with PRI domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with PRI domain capabilities are documented and maintained by process owners. ▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with PRI domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Data privacy management-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Data privacy management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel. ▪ The data privacy program is developed to work with IT and cybersecurity staff to ensure that applicable statutory, regulatory and/or contractual data privacy obligations for Personal Data (PD) are properly identified and implemented.
Level 3 Well Defined
Privacy (PRI) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with PRI domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function. ▪ Standardized Operating Procedures (SOP) associated with PRI domain capabilities are well-documented and kept current by process owners. ▪ A data privacy team, or similar function, is appropriately staffed and supported to implement and maintain PRI domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of data privacy operations (e.g., privacy notice management software and customer management solution). ▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with PRI domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls). ▪ An implemented and operational capability exists to ensure data privacy notices identify the purpose(s) for which Personal Data (PD) is collected, received, processed, stored, transmitted and/or shared.
Level 4 Quantitatively Controlled
Privacy (PRI) capabilities, in addition to being standardized across the entity and centrally managed to ensure consistency across Technology Assets, Applications, Services and/or Data (TAASD), efforts are metrics driven to provide sufficient insight for decision makers to predict optimal performance, ensure continued operations and/or identify areas for improvement. Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Applicable SCR-CMM Level 3 (Well Defined) capabilities are implemented and operational. ▪ Metrics reporting includes quantitative analysis of Key Performance Indicators (KPIs). ▪ Metrics reporting includes quantitative analysis of Key Risk Indicators (KRIs). ▪ Scope of metrics, KPIs and KRIs covers organization-wide cybersecurity and data protection controls, including functions performed by third-parties. ▪ Organizational leadership maintains a formal process to objectively review and respond to metrics, KPIs and KRIs (e.g., monthly or quarterly review). ▪ Based on metrics analysis, process improvement recommendations are submitted for review and are handled in accordance with change control processes. ▪ Business and technical stakeholders are involved in reviewing and approving proposed changes to evolve capabilities.
Level 5 Continuously Improving
Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions: ▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control. ▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies. ▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
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SCF
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Personal Data (PD) Categories
Description
Mechanisms exist to define and implement data handling and protection requirements for specific categories of sensitive Personal Data (PD).
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
SCR-CMM
Level 0 Not Performed
Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.
Level 1 Performed Informally
SCR-CMM Level 1 criteria definitions are not available for this control: ▪ A reasonable person would conclude this control requires a structured process. ▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.
Level 2 Planned Tracked
Privacy (PRI) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with PRI domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with PRI domain capabilities are documented and maintained by process owners. ▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with PRI domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Data privacy management-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Data privacy management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel. ▪ The data privacy program is developed to work with IT and cybersecurity staff to ensure that applicable statutory, regulatory and/or contractual data privacy obligations for Personal Data (PD) are properly identified and implemented.
Level 3 Well Defined
Privacy (PRI) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with PRI domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function. ▪ Standardized Operating Procedures (SOP) associated with PRI domain capabilities are well-documented and kept current by process owners. ▪ A data privacy team, or similar function, is appropriately staffed and supported to implement and maintain PRI domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of data privacy operations (e.g., privacy notice management software and customer management solution). ▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with PRI domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls). ▪ An implemented and operational capability exists to define and implement data handling and protection requirements for specific categories of sensitive Personal Data (PD).
Level 4 Quantitatively Controlled
Utilize SCR-CMM Level 3 criteria definitions: ▪ There are no defined Level 4 criteria, since it is reasonable to assume a quantitatively-controlled process is not necessary to operationalize this control. ▪ While it may be possible to develop “metrics-driven” capabilities for this control, the criteria would be organization-specific to define.
Level 5 Continuously Improving
Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions: ▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control. ▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies. ▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
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SCF
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Data Privacy Notice
Description
Mechanisms exist to: (1) Make data privacy notice(s) available to individuals upon first interacting with an organization and subsequently as necessary; (2) Ensure that data privacy notices are clear and easy-to-understand, expressing relevant information about how Personal Data (PD) is collected, received, processed, stored, transmitted, shared, updated and/or disposed; (3) Contain all necessary notice-related criteria required by applicable statutory, regulatory and contractual obligations; (4) Define the scope of PD processing activities, including the geographic locations and third-party recipients that process the PD within the scope of the data privacy notice; (5) Periodically, review and update the content of the privacy notice, as necessary; and (6) Retain prior versions of the privacy notice, in accordance with data retention requirements.
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
SCR-CMM
Level 0 Not Performed
Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.
Level 1 Performed Informally
SCR-CMM Level 1 criteria definitions are not available for this control: ▪ A reasonable person would conclude this control requires a structured process. ▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.
Level 2 Planned Tracked
Privacy (PRI) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with PRI domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with PRI domain capabilities are documented and maintained by process owners. ▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with PRI domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Data privacy management-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Data privacy management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel. ▪ The data privacy program is developed to work with IT and cybersecurity staff to ensure that applicable statutory, regulatory and/or contractual data privacy obligations for Personal Data (PD) are properly identified and implemented. ▪ The CPO, or similar role, develops and ensures data privacy notices are published that include relevant purpose, notice and data privacy program information.
Level 3 Well Defined
Privacy (PRI) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with PRI domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function. ▪ Standardized Operating Procedures (SOP) associated with PRI domain capabilities are well-documented and kept current by process owners. ▪ A data privacy team, or similar function, is appropriately staffed and supported to implement and maintain PRI domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of data privacy operations (e.g., privacy notice management software and customer management solution). ▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with PRI domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls). ▪ An implemented and operational capability exists to: (1) Make data privacy notice(s) available to individuals upon first interacting with an organization and subsequently as necessary; (2) Ensure that data privacy notices are clear and easy-to-understand, expressing relevant information about how Personal Data (PD) is collected, received, processed, stored, transmitted, shared, updated and/or disposed; (3) Contain all necessary notice-related criteria required by applicable statutory, regulatory and contractual obligations; (4) Define the scope of PD processing activities, including the geographic locations and third-party recipients that process the PD within the scope of the data privacy notice; (5) Periodically, review and update the content of the privacy notice, as necessary; and (6) Retain prior versions of the privacy notice, in accordance with data retention requirements.
Level 4 Quantitatively Controlled
Privacy (PRI) capabilities, in addition to being standardized across the entity and centrally managed to ensure consistency across Technology Assets, Applications, Services and/or Data (TAASD), efforts are metrics driven to provide sufficient insight for decision makers to predict optimal performance, ensure continued operations and/or identify areas for improvement. Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Applicable SCR-CMM Level 3 (Well Defined) capabilities are implemented and operational. ▪ Metrics reporting includes quantitative analysis of Key Performance Indicators (KPIs). ▪ Metrics reporting includes quantitative analysis of Key Risk Indicators (KRIs). ▪ Scope of metrics, KPIs and KRIs covers organization-wide cybersecurity and data protection controls, including functions performed by third-parties. ▪ Organizational leadership maintains a formal process to objectively review and respond to metrics, KPIs and KRIs (e.g., monthly or quarterly review). ▪ Based on metrics analysis, process improvement recommendations are submitted for review and are handled in accordance with change control processes. ▪ Business and technical stakeholders are involved in reviewing and approving proposed changes to evolve capabilities.
Level 5 Continuously Improving
Privacy (PRI) capabilities, in addition to being standardized across the entity and centrally managed to ensure consistency across Technology Assets, Applications, Services and/or Data (TAASD), efforts are metrics driven to provide sufficient insight for decision makers to predict optimal performance, ensure continued operations and/or identify areas for improvement. Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Applicable SCR-CMM Level 3 (Well Defined) capabilities are implemented and operational. ▪ Based on predictive analysis, process improvements are implemented according to “continuous improvement” practices that affect process changes. ▪ Stakeholders make time-sensitive decisions to support operational efficiency, which may include automated remediation actions via Artificial Intelligence (AI) or Machine Learning (ML) technologies.
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SCF
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Purpose Specification
Description
Mechanisms exist to ensure data privacy notices identify the purpose(s) for which Personal Data (PD) is collected, received, processed, stored, transmitted and/or shared.
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ Data classification program ∙ Data privacy program ∙ Data Protection Impact Assessment (DPIA) ∙ Product / project management
SCR-CMM
Level 0 Not Performed
Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.
Level 1 Performed Informally
SCR-CMM Level 1 criteria definitions are not available for this control: ▪ A reasonable person would conclude this control requires a structured process. ▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.
Level 2 Planned Tracked
Privacy (PRI) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with PRI domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with PRI domain capabilities are documented and maintained by process owners. ▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with PRI domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Data privacy management-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Data privacy management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel. ▪ The data privacy program is developed to work with IT and cybersecurity staff to ensure that applicable statutory, regulatory and/or contractual data privacy obligations for Personal Data (PD) are properly identified and implemented.
Level 3 Well Defined
Privacy (PRI) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with PRI domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function. ▪ Standardized Operating Procedures (SOP) associated with PRI domain capabilities are well-documented and kept current by process owners. ▪ A data privacy team, or similar function, is appropriately staffed and supported to implement and maintain PRI domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of data privacy operations (e.g., privacy notice management software and customer management solution). ▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with PRI domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls). ▪ An implemented and operational capability exists to ensure data privacy notices identify the purpose(s) for which Personal Data (PD) is collected, received, processed, stored, transmitted and/or shared.
Level 4 Quantitatively Controlled
Privacy (PRI) capabilities, in addition to being standardized across the entity and centrally managed to ensure consistency across Technology Assets, Applications, Services and/or Data (TAASD), efforts are metrics driven to provide sufficient insight for decision makers to predict optimal performance, ensure continued operations and/or identify areas for improvement. Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Applicable SCR-CMM Level 3 (Well Defined) capabilities are implemented and operational. ▪ Metrics reporting includes quantitative analysis of Key Performance Indicators (KPIs). ▪ Metrics reporting includes quantitative analysis of Key Risk Indicators (KRIs). ▪ Scope of metrics, KPIs and KRIs covers organization-wide cybersecurity and data protection controls, including functions performed by third-parties. ▪ Organizational leadership maintains a formal process to objectively review and respond to metrics, KPIs and KRIs (e.g., monthly or quarterly review). ▪ Based on metrics analysis, process improvement recommendations are submitted for review and are handled in accordance with change control processes. ▪ Business and technical stakeholders are involved in reviewing and approving proposed changes to evolve capabilities.
Level 5 Continuously Improving
Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions: ▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control. ▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies. ▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
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