+Artículo 37 Designación del delegado de protección de datos
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Artículo 37 Designación del delegado de protección de datos

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1. Resumen

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Artículo 37 1.

El responsable y el encargado del tratamiento designarán un delegado de protección de datos siempre que:

a) 

el tratamiento lo lleve a cabo una autoridad u organismo público, excepto los tribunales que actúen en ejercicio de su función judicial;

b) 

las actividades principales del responsable o del encargado consistan en operaciones de tratamiento que, en razón de su naturaleza, alcance y/o fines, requieran una observación habitual y sistemática de interesados a gran escala, o

▼C1

c) 

las actividades principales del responsable o del encargado consistan en el tratamiento a gran escala de categorías especiales de datos con arreglo al artículo 9 o de datos personales relativos a condenas e infracciones penales a que se refiere el artículo 10.

▼B

Artículo 37 2.
Un grupo empresarial podrá nombrar un único delegado de protección de datos siempre que sea fácilmente accesible desde cada establecimiento.
Artículo 37 3.
Cuando el responsable o el encargado del tratamiento sea una autoridad u organismo público, se podrá designar un único delegado de protección de datos para varias de estas autoridades u organismos, teniendo en cuenta su estructura organizativa y tamaño.
Artículo 37 4.
En casos distintos de los contemplados en el apartado 1, el responsable o el encargado del tratamiento o las asociaciones y otros organismos que representen a categorías de responsables o encargados podrán designar un delegado de protección de datos o deberán designarlo si así lo exige el Derecho de la Unión o de los Estados miembros. El delegado de protección de datos podrá actuar por cuenta de estas asociaciones y otros organismos que representen a responsables o encargados.
Artículo 37 5.
El delegado de protección de datos será designado atendiendo a sus cualidades profesionales y, en particular, a sus conocimientos especializados del Derecho y la práctica en materia de protección de datos y a su capacidad para desempeñar las funciones indicadas en el artículo 39.
Artículo 37 6.
El delegado de protección de datos podrá formar parte de la plantilla del responsable o del encargado del tratamiento o desempeñar sus funciones en el marco de un contrato de servicios.
Artículo 37 7.
El responsable o el encargado del tratamiento publicarán los datos de contacto del delegado de protección de datos y los comunicarán a la autoridad de control.

1.1 Referencias

1.2 Requisitos identificados

1.3 Estándares relacionados

2. Requisitos identificados

Requisitos

3. Estándares relacionados

Estándares
SCF Data Protection Officer (DPO)

Description

Mechanisms exist to identify and appoint a Data Protection Officer (DPO), or equivalent role:
(1) Based on professional qualifications; and
(2) To be involved in all issues related to how Personal Data (PD) is collected, received, processed, stored, transmitted, shared, updated and/or disposed.

Possible Solutions & Considerations

Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2

∙ Privacy policy document
∙ Data handling procedures

Small Business (10-49 staff) / BLS Firm Size Classes 3-4

∙ Written privacy policy
∙ Data subject request procedures

Medium Business (50-249 staff) / BLS Firm Size Classes 5-6

∙ Data privacy program
∙ Assigned Data Protection Officer (DPO) role(s)

Large Business (250-999 staff) / BLS Firm Size Classes 7-8

∙ Data privacy program
∙ Assigned Data Protection Officer (DPO) role(s)

Enterprise (> 1,000 staff) / BLS Firm Size Class 9

∙ Data privacy program
∙ Assigned Data Protection Officer (DPO) role(s)

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.
▪ Data/process owners work with IT and/or cybersecurity personnel and Data Protection Officers (DPOs) to ensure applicable statutory, regulatory and/or contractual obligations are properly addressed, including the storage, transmission and processing of sensitive/regulated data.

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).
▪ A Data Protection Officer (DPO) is appointed:
(1) Based on professional qualifications; and
(2) To be involved in all issues related to how Personal Data (PD) is collected, received, processed, stored, transmitted, shared, updated and/or disposed.

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.
SCF Data Protection Officer (DPO)

Description

Mechanisms exist to identify and appoint a Data Protection Officer (DPO), or equivalent role:
(1) Based on professional qualifications; and
(2) To be involved in all issues related to how Personal Data (PD) is collected, received, processed, stored, transmitted, shared, updated and/or disposed.

Possible Solutions & Considerations

Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2

∙ Privacy policy document
∙ Data handling procedures

Small Business (10-49 staff) / BLS Firm Size Classes 3-4

∙ Written privacy policy
∙ Data subject request procedures

Medium Business (50-249 staff) / BLS Firm Size Classes 5-6

∙ Data privacy program
∙ Assigned Data Protection Officer (DPO) role(s)

Large Business (250-999 staff) / BLS Firm Size Classes 7-8

∙ Data privacy program
∙ Assigned Data Protection Officer (DPO) role(s)

Enterprise (> 1,000 staff) / BLS Firm Size Class 9

∙ Data privacy program
∙ Assigned Data Protection Officer (DPO) role(s)

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.
▪ Data/process owners work with IT and/or cybersecurity personnel and Data Protection Officers (DPOs) to ensure applicable statutory, regulatory and/or contractual obligations are properly addressed, including the storage, transmission and processing of sensitive/regulated data.

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).
▪ A Data Protection Officer (DPO) is appointed:
(1) Based on professional qualifications; and
(2) To be involved in all issues related to how Personal Data (PD) is collected, received, processed, stored, transmitted, shared, updated and/or disposed.

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.