#Data_Science_That_Works
#Data_Science_That_Works
March 1, 2025 at 12:05 AM
Today's Data Term *Data Stewardship* This is the process of managing and overseeing data assets to ensure data quality, security, and compliance. Here are some key roles and responsibilities involved: *Data Governance* 1. *Develop data policies*: Establish and maintain data management policies, procedures, and standards. 2. *Ensure compliance*: Monitor and ensure adherence to data-related laws, regulations, and industry standards. 3. *Data classification*: Classify data based on its sensitivity, criticality, and business value. *Data Quality* 1. *Data validation*: Ensure data accuracy, completeness, and consistency. 2. *Data cleansing*: Identify and correct data errors, duplicates, or inconsistencies. 3. *Data normalization*: Ensure data is formatted consistently across systems. *Data Security* 1. *Access control*: Manage data access permissions, ensuring only authorized personnel can access sensitive data. 2. *Data encryption*: Ensure sensitive data is encrypted, both in transit and at rest. 3. *Incident response*: Develop and implement incident response plans to address data breaches or security incidents. *Data Management* 1. *Data inventory*: Maintain a comprehensive inventory of data assets, including data sources, formats, and locations. 2. *Data lineage*: Track data origins, transformations, and movements across systems. 3. *Data retention*: Ensure data is retained or disposed of in accordance with organizational policies and regulatory requirements. *Collaboration and Communication* 1. *Stakeholder engagement*: Collaborate with stakeholders to understand data requirements, concerns, and issues. 2. *Data education*: Educate users on data management best practices, policies, and procedures. 3. *Communication*: Ensure transparent communication regarding data-related matters, including data breaches or security incidents. *Monitoring and Improvement* 1. *Data monitoring*: Continuously monitor data quality, security, and compliance. 2. *Metrics and reporting*: Develop and track metrics to measure data management effectiveness. 3. *Process improvement*: Identify areas for improvement and implement changes to optimize data management processes. By fulfilling these roles, a Data Steward ensures the organization's data assets are accurate, secure, and compliant, ultimately supporting informed decision-making and business success.

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