Metadata Governance is at the core of how we manage our data. We are excited to share our journey in building a Business Glossary. We gleaned the inspiration to design a metamodel from the 2021 DGIQ 2-day seminar entitled “How to Implement and Govern an Enterprise Data Catalog and Business Glossary.”

Key concept takeaways from the seminar were:

1. Using a Metamodel to manage metadata.
2. Limiting the scope of the metadata to Critical Data Elements.
3. Creating a Business Glossary using system-agnostic business terms.
4. Making connections between metadata assets.
5. Automating the process as much as possible.

The case study will demonstrate the tangible benefits of using these key concepts to govern metadata and that metadata management does not have to be a daunting task.

What will be shared:

• How we designed a Metamodel fit for the purpose of our organization.
• How we leveraged existing data assets to generate business terms for the Business Glossary.
• How we linked the business terms to the existing technical metadata for data lineage.
• Discuss benefits and how we are utilizing the improvement to address user pain points.
• Lessons learned.

Speaker: Robin B Rappaport

Technical Project Manager, IRS – RAAS - DMD

Robin Rappaport has over 35 years of experience as a Data Quality practitioner. She is an Operations Research Analyst with a deep interest in data and metadata quality. Prior to graduate school, she worked as a Computer Programmer and Systems Analyst.  

As Technical Project Manager, she runs the IRS Data & Analytics Data Council. She leads related subgroups and the Data & Analytics Community of Practice (CoP) for IRS and Treasury-wide. Recognized as a superior contributor (awardee) in the Federal CDO Council Data Inventory Working Group, she also leads the Treasury Data Inventory Working Group. In support of the IRA Initiative to Maximize Data Utility at the IRS, she manages Data Governance (including Metadata and Data Standards; Data Catalog, Lineage, Taxonomy, and Sensitivity).