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Data Custodian vs Data Steward

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A data custodian is accountable for data assets from a technical perspective. A data steward is accountable for data assets from a business perspective.

Data Custodian vs Data Steward

Data custodian and data steward play complementary roles in data governance. Both are assigned a set of data assets for which they are accountable. It is common for a specific person to be assigned to each role as opposed to a team.
Data custodians are accountable for the technical control of data including security, scalability, configuration management, availability, accuracy, consistency, audit trail, backup and restore, technical standards, policies and business rule implementation.
Data stewards are accountable for business controls, data content and metadata management related to a set of data assets. They work with stakeholders that are impacted by data to develop definitions, standards and data controls. They may also sponsor data quality, data acquisition and data entry initiatives. In many cases, business units and operational units that use the same data view it differently. A data stewards is the person who makes sure that data supports all business needs and regulatory requirements.
Data Custodian vs Data Steward
Data Custodian
Data Steward
Definition
A person who owns technical accountability for a set of data assets.
A person who owns business accountability for a set of data assets.
Accountabilities
Data Security
Audit Trail
Availability
Capacity
Accuracy
Consistency
Continuity
Backup and Restore
Implementations
Technical Standards & Policies
Data Requirements
Metadata Definition
Metadata Management
Data Quality
Data Acquisition & Entry
Data Curation
Governance
Compliance
Next: Data Management
More about data:
Abstract Data
Atomic Data
Big Data
Causality
Cohort
Cohort Analysis
Dark Data
Data
Data Analysis
Data Architecture
Data Attribute
Data Cleansing
Data Collection
Data Complexity
Data Consumer
Data Control
Data Corruption
Data Custodian
Data Degradation
Data Dredging
Data Entity
Data Federation
Data Integration
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Data Liberation
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Data Massage
Data Migration
Data Mining
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Data Producer
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Data Remanence
Data Risks
Data Rot
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Data Wipe
Decision Support
Deep Magic
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ETL
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Qualitative Info
Quantification
Quantitative Data
Raw Data
Reference Data
Small Data
Soft Data
Source Data
Statistical Analysis
Statistical Population
Structured Data
Transaction Processing
Transactional Data
Types Of Data
Unstructured Data
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