All Collections
GDPR in Ardoq
Exploring Approaches to GDPR Documentation with Ardoq
Exploring Approaches to GDPR Documentation with Ardoq

Understand different approaches for GDPR documentation with Ardoq.

Simon Wilkes avatar
Written by Simon Wilkes
Updated over a week ago

When working on GDPR compliance, Ardoq can help streamline the process and ensure that all aspects of your organization's data management are taken into consideration.

The purpose of this article is to facilitate the exploration of different strategies and best practices for managing GDPR compliance in Ardoq. It is not a guide to GDPR compliance.

Document GDPR based on what you know. Start with the information that you have access to and your role within the organization. Concentrate on areas that pose the greatest risk to the organization.

Divide your GDPR documentation into domain-specific categories, so experts can manage workspaces related to their expertise. Maintaining focus and encouraging collaboration is easier with this modular approach.

When extending your metamodel to identify where personal or sensitive data is processed, consider our Data Lineage Use Case Guide. GDPR compliance can be built on this and provide valuable insights into risk management and compliance.

Data lineage is foundational for several architectural topics. One such topic is GDPR, and even though a complete description of how to implement GDPR in Ardoq is out of scope for this article, there are simple extensions to the metamodel that can get you started. Locating where PII or sensitive data about individuals is processed will give you a good starting point for GDPR compliance. Data lineage also creates a great supplemental data set for enriching use cases like Application Rationalization, and Application Integration Management where for example the confidentiality or PII content of data entities can provide additional insight into application and integration risk.

Reference 1: The metamodel for Data Lineage Use Case

Utilize multi-select fields for PII types: Create a multi-select field called "PII type" on the data entity component type, containing typical PII types such as personal ID, health information, sexual orientation, and affiliation with unions. Locate specific PII types by utilizing the references between applications and data entities.

Answer five essential GDPR questions:

  1. What data do you have?

  2. Where are you using/storing/duplicating personal data?

  3. How is your data moving through the organization?

  4. Who has access to the data?

  5. Why are you collecting this data?

Utilize tools to streamline data collection and management: Ardoq offers tools like Excel importer, API, and Zapier integration to help automate or streamline data collection and management for GDPR compliance.

Ardoq partners with legal and consulting firms that can provide assistance in getting started with GDPR documentation and compliance.

By following these steps and maintaining a structured, collaborative approach to GDPR documentation, organizations can more effectively navigate the complexities of compliance while leveraging Ardoq's capabilities to manage and maintain data lineage, risk, and compliance aspects. Utilizing multi-select fields for PII types can help identify and manage specific personal and sensitive data within the organization, contributing to more robust GDPR compliance.

Did this answer your question?