Data privacy is not only a legal obligation, but also a moral duty. As a data governance professional, you need to ensure that your data collection, processing, and sharing respects the diversity of your customers, employees, and stakeholders. How can you do that? Here are some tips to help you improve your data privacy practices in a diverse world.
Different cultures, regions, and groups may have different expectations and preferences regarding data privacy. For example, some people may value anonymity more than others, or some may be more sensitive to certain types of data, such as biometric, health, or religious data. You need to understand the context of your data subjects and tailor your data privacy policies and practices accordingly. You can do this by conducting surveys, interviews, focus groups, or other forms of feedback to learn about their data privacy needs and concerns.
Data Minimization: Collect and retain only the necessary data for your business purposes. Limit the collection of sensitive information and ensure that it is adequately protected.
Implementar una metodología de trabajo en estricto apego al RGDP será de utilidad ya que se requiere para ello aplicar principios de minimización de datos y que además tiene como principal objetivo la protección de derechos y libertades de los interesados. Es decir, el espíritu del reglamento es una protección más amplia que únicamente la de la privacidad. En ese marco, cualquier avance sobre la privacidad de alguien que pueda ser interpretado como discriminación, necesariamente estará también violando el principio mencionado y el espíritu de la normativa. En particular, es imprescindible comprender el estado actual de la técnica para tomar decisiones que sean equilibradas y contextualmente adecuadas.
Comprehensive Policies and Procedures: Establish policies and procedures for inclusivity by specifically addressing a range of needs and concerns. Write them in straightforward, accessible language, steering clear of technical jargon that might be perplexing for individuals with different levels of technical literacy.
Data privacy is not only about compliance, but also about trust. You need to demonstrate that you are fair, accountable, and transparent in how you handle data. This means that you should follow the principles of data minimization, purpose limitation, accuracy, security, and retention. You should also inform your data subjects about what data you collect, why, how, and with whom you share it, and what rights they have over it. You should also provide them with easy and effective ways to exercise their rights, such as opting out, accessing, correcting, or deleting their data.
El respeto hacia los derechos de los interesados tiene un factor diferencial que actualmente no se ha logrado visibilizar lo suficiente: esto es, el factor reputacional. Considerando que progresivamente aumentará la concientización y los interesados serán más exigentes con las empresas en cuanto a requerir que sus derechos sean protegidos en la relación entre ambos y con terceros, será un objetivo empresarial de importancia lograr una reputación positiva par atraer clientes. Para lograrlo es imprescindible que se trate los datos con equidad -es decir, aplicando el sentido de justicia en el caso concreto-, con suficiente responsabilidad y, principalmente, con transparencia -que estará además materializado a través de los derechos ARCO POL.
A data privacy maturity model is a tool that helps you assess and improve your data privacy practices. It helps you identify your strengths and weaknesses, set goals and priorities, and measure your progress. There are different data privacy maturity models available, such as the NIST Privacy Framework, the ISO 27701 Standard, or the GDPR Maturity Model. You can choose the one that suits your needs and objectives, or create your own based on best practices. A data privacy maturity model can help you align your data privacy practices with your diversity values and goals.
El modelo de madurez de privacidad de datos es una metodología adecuada para mensurar el estado actual de madurez respecto a cierto estándar como puede ser el RGDP o NIST, entre otros. La mensuración del estado de madurez es crucial para tener una correcta noción del estado de seguridad de la información (y ciberseguridad) que posee la empresa con la finalidad de poder tomar decisiones basadas en datos sobre qué, quién, cómo, cuándo se debe hacer para mejorar la resiliencia y prevención en relación a los riesgos eventuales que la empresa puede afrontar.
Your data privacy practices are only as good as your staff. You need to train and educate your staff on the importance of data privacy and diversity, and how to apply them in their daily work. You should also create a culture of data privacy awareness and responsibility, where your staff can share their ideas, experiences, and feedback, and where they can report any issues or incidents. You should also monitor and evaluate your staff's performance and compliance, and reward or correct them accordingly.
La tarea más importante y fructífera en una organización es la de concientizar y sensibilizar a la totalidad de intervinientes -que incluye incluso terceros; como proveedores-, y en la totalidad de posiciones jerárquicas. Es sabido que el vector más débil frente a una brecha de seguridad es el factor humano y es por ello que aumentar el conocimiento sobre seguridad de la información y ciberseguridad en las personas es la mejor herramienta de prevención y resiliencia que se puede realizar. Asimismo, una buena política de concientización debe ser dinámica y sistemática utilizando la metodología Plan, Do, Check and Act, para ir mejorando día a día la madurez de la organización, logrando disminuir los riesgos y sus eventuales consecuencias.
Data privacy is not a one-way street. You need to engage with your stakeholders, such as your customers, partners, regulators, or civil society, to understand their expectations and perspectives, and to build trust and collaboration. You should also communicate your data privacy practices and achievements to them, and seek their feedback and input. You should also participate in data privacy initiatives and networks, where you can learn from others, share your insights, and contribute to the development of data privacy standards and best practices.
Data privacy is not a static state, but a dynamic process. You need to review and update your data privacy practices regularly, to keep up with the changing needs and preferences of your diverse data subjects, as well as the evolving legal and technical environment. You should also conduct audits, assessments, and tests to verify and validate your data privacy practices, and to identify and address any gaps or risks. You should also document and report your data privacy practices and outcomes, and use them to inform your decisions and actions.