Data governance at TXST involves exercising authority and control over data asset management, guiding all other data management functions. It focuses on decision-making about data, expectations for data use, and the objectives that data management processes should achieve. This includes setting standards for data accuracy, compliance, defining data ownership, and ensuring that data practices align with the university's goals and regulatory requirements.
Data Governance
Objective
Data governance aims to maintain high data quality, support informed decision-making, and promote accountability and trust in how data is handled. This enhances operational efficiency but also ensures compliance with legal and ethical standards. Data governance fosters effective cross-departmental collaboration and emphasizes the importance of data being managed as a valuable asset.
Common Understanding
Removes data silos
Improves Data Quality
Promotes Collaboration
Data Governance Vs. Data Management
Data Governance is the framework of rules, policies, and procedures that ensure data is accurate, consistent, and used responsibly. It focuses on establishing authority and accountability for data within an organization.
Data Management is the practical implementation of these policies, involving the processes and technologies used to collect, store, organize, and maintain data.
Together, they ensure data is well-organized, reliable, and accessible.
Data Management Council
The Data Management Council (DMC) promotes data integrity and governance by utilizing a cross-divisional approach. For more information, visit the DMC website.