Data Governance and Stewardship Metadata

Data governance uses metadata to enforce management discipline on the collection and control of data.
Data governance is the process of defining the rules that data has to follow, and data stewardship makes sure that the data follows those rules. Documenting how your company manages its data, and then developing metrics to monitor the effectiveness of those management practices.

Why is Data Goverenance and Stewardship Important?

Effective data governance and stewardship are critical for organizations to ensure the accuracy, consistency, and security of their data. These functions involve creating and enforcing rules around data collection, usage, and retention, as well as ensuring that the data adheres to those rules. One of the key components of data governance and stewardship is metadata, which provides the linkage between business policies and the information or data value. Effective metadata management is essential for enabling data management policy and access to information.

Data stewards play a crucial role in ensuring the quality of master data and metadata by ensuring that they are clean, consistent, and accurate. They also play a vital role in fixing data quality issues by implementing a routing and approval system. To effectively carry out these functions, data stewards must have a deep understanding of the business and be able to make tough decisions about which data elements are correct.

InfoLibrarian™ offers a comprehensive suite of services to help organizations manage their data governance and stewardship needs. This includes managing business glossaries and taxonomies, capturing governance policies and rules, and collaborating on changes. By partnering with InfoLibrarian™, organizations can ensure that their data governance and stewardship practices are robust, effective, and aligned with industry best practices. Contact InfoLibrarian™ today to learn more about how we can help your organization optimize its data governance and stewardship practices.

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Data Governance & Stewardship

It's not enough to have the numbers; you have to be able to show that the numbers are based on accurate and verifiable data. This means both a governance function to demonstrate that the right controls are in place, and a stewardship function to ensure that the controls are enforced.

Governance and Stewardship are especially important functions in master data management, big data or data integration processes. The data-governance function should include leaders of both the IT and business groups of a company.

Governance Rules Metadata Typically Include

  • Who can read, create, update, and delete data.
  • What validity checks are required for data.
  • Which application is the preferred source for data items.
  • How long data is retained.
  • What privacy policies are enforced.
  • How confidential data is protected.
  • What disaster-recovery provisions are required.

Metadata in Data Governance

Metadata provides the linkage between the business need or desire (policy) and the information or data value. The effective management of a metadata repository is one of the essential activities of a data steward within a governance practice, enabling data management policy and access to information. 

Metadata management refers to the activities associated with ensuring that metadata is created/captured at the point creation and that the broadest possible portfolio of meta-information is collected, stored in a repository for use by multiple software, tools, and software, applications and controlled to remove inconsistencies and redundancies.

In short, data governance uses metadata management to impose management discipline on the collection and control of data. Metadata management is a critical component of any robust data governance practice, and metadata is one of the foundational contributors to creating and maintaining full business value of an organization’s data.


The role of a data steward is to ensure that the master data and metadata is clean consistent, and accurate. In cases in which data quality could not be determined with automated rules and workflows and manual intervention is needed. The people doing this manual intervention are the data stewards.

The right person to be a steward for a particular collection of master data is the person who understands the data the best. In many cases, only someone who understands the business can make the tough calls about which value is correct for a particular data element.

Data Stewardship is all about fixing data quality issues. This process is best implemented using a routing an approval system of some kind.

InfoLibrarian™ Data Governance and Stewardship

  • Manage business glossaries and taxonomies.
  • Manage reference data and valid values.
  • Capture governance policies and rules.
  • Collaborate on changes.

Follow the links below to see how InfoLibrarian™ can help you to capture and manage enterprise metadata.

Metadata Management & Data Governance Consulting
InfoLibrarian Metadata Management Framework™ Solution

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