How do you reference data governance standards and frameworks?

1 Why reference data governance standards and frameworks?

Data governance standards and frameworks provide a common language, structure, and guidance for data governance activities. They help to establish data governance maturity levels, identify gaps and opportunities, measure performance and outcomes, and communicate value and benefits. By referencing data governance standards and frameworks, you can ensure that your data governance program is consistent, comprehensive, and aligned with your organizational objectives and external expectations. You can also leverage the knowledge and experience of data governance experts and peers who have developed and applied these standards and frameworks.

2 How to choose data governance standards and frameworks?

There are many data governance standards and frameworks available, each with its own scope, focus, and approach. Some are general and applicable to any organization or industry, while others are specific and tailored to certain domains or sectors. Some are prescriptive and provide detailed steps and checklists, while others are descriptive and provide principles and guidelines. Some are comprehensive and cover all aspects of data governance, while others are focused and address particular challenges or risks. To choose the right data governance standards and frameworks for your organization, you need to consider your data governance vision, goals, scope, maturity, culture, and resources. You also need to evaluate the relevance, credibility, usability, and adaptability of the standards and frameworks you are considering.

3 How to use data governance standards and frameworks?

Data governance standards and frameworks are not meant to be followed blindly or rigidly. They are meant to be used as references and inspirations for your own data governance program. You can use them to assess your current data governance state, define your desired data governance state, plan your data governance roadmap, implement your data governance initiatives, monitor your data governance progress, and improve your data governance practices. You can also use them to benchmark your data governance performance against industry standards, learn from best practices and case studies, and demonstrate your data governance value and compliance. However, you should always customize and adapt the standards and frameworks to suit your specific context and needs.

4 How to reference data governance standards and frameworks?

When you reference data governance standards and frameworks, you should acknowledge the source and give credit to the authors or organizations that developed them. You should also cite them properly according to the citation style you are using, such as APA, MLA, or Harvard. You should also indicate how you have used or adapted the standards and frameworks in your own data governance program, and provide evidence or examples of your data governance results or outcomes. You should also be transparent and honest about any limitations or challenges you have faced or encountered when using or referencing the standards and frameworks.

5 Examples of data governance standards and frameworks

Data governance standards and frameworks are essential for achieving data governance objectives. For example, the Data Management Association (DAMA) International's Data Management Body of Knowledge (DMBOK) is a comprehensive framework that covers all aspects of data management. It includes a data management maturity model to assess and improve data management capabilities. The Data Governance Institute (DGI) Framework is a customizable framework for designing, implementing, and sustaining data governance programs. It consists of eight components and provides a data governance maturity model to measure and advance data governance effectiveness. ISO/IEC 38500:2015 is an international standard that provides principles and guidelines for IT governance, as well as a framework for evaluating and improving IT governance practices. Finally, COBIT 2019 is a global framework that helps to align IT goals with business goals. It covers four domains and provides a capability maturity model to assess and improve IT governance and management performance.

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?