Data Steward

Ensures data quality, manages metadata, and enforces data policies and standards

Terms (640)

• 🗑️ AI Slop
• 🏛️ ARK
• 🔖 Account Status
• 📥 Acquire Data Sources for Sharing
• ⚙️ Active Metadata
• 📊 Actuals
• 🆔 Acxiom Consumer IDs
• 🏷️ Address Standardization
• 🏠 Addresses
• 🗺️ Administrative Boundary
• 🧩 Affiliation Management
• 🤖 Agent
• 🏷️ Alternative Label
• 🩺 American Medical Association’s Prescriber Database
• 🧩 Ancillary Data
• 📝 Annotation
• 🏷️ Annotation Property
• 🗝️ Anonymization
• 🗂️ Apache Atlas
• 🛠️ Application Ontology
• 🧩 Application Profile
• 🧩 Applied Ontology
• ✅ Approval Workflow
• 🗄️ Archiving
• 🤝 Associative Relationship
• 🧾 Attribute Naming
• 📜 Audit Logging
• 📜 Audit Trail
• 🪪 Authority File
• 🏛️ Authority Principle
• 🔖 BOM
• ↩️ Backfill
• 🔎 Backward Engineering
• 🧬 Biological Data
• 🕰️ Bitemporal Modeling
• 🫥 Blank Node
• ⬆️ Broad Match
• ⬆️ Broader Term
• 🥉 Bronze Layer
• 🧮 Budget
• 🧭 Business Context
• 🧭 Business Data Steward
• 📖 Business Glossary
• 🏷️ Business Metadata
• 📏 Business Metrics
• 🤝 Business Partner
• 📐 Business Rules
• 🏢 Business Unit
• 🏛️ Business-to-Government Data Sharing
• 🤝 CARE Principles
• 🧮 Census
• 🗺️ Census Tract
• 🎓 Certified Data Management Professional
• 🔤 Character Encoding
• 🗂️ Chart of Accounts
• 🏙️ Cities-Towns
• 🏛️ Citizens
• 🧩 Class
• 🗂️ Classification Scheme
• 🏥 Clinical Data
• 🤝 Close Match
• 🔒 Closed World Assumption
• 🧾 Code Set
• 📇 Code Tables
• 🔢 Code Values
• 🛡️ Collibra
• 🗂️ Column-Level Security
• 📚 Common Core Ontology
• 🇪🇺 Common European Data Spaces
• 🏢 Company Master Data
• ✅ Completeness
• ✅ Compliance
• ✅ Compliance Automation
• 📊 Computational Reference Data
• 🗂️ Concept Scheme
• 🧩 Conceptual Modeling
• 🗺️ Conceptualization
• 🎯 Confidence Percentage
• ✅ Consent
• ✅ Consent Management
• 🗄️ Consolidated Approach
• ✔️ Constraint Checking
• 📏 Constraints
• 🧠 Context
• 📜 Contract
• 📈 Control Chart
• 🗂️ Controlled Terminology
• 📝 Controlled Vocabulary
• 🧩 Core Ontology
• 🔗 Correlation
• 🧾 Cost Center
• 🧭 Counties
• 🌍 Countries
• 🌍 Country Codes
• 🪪 Creative Commons
• 🔁 Cross-Reference
• 🧭 Cross-Reference Lists
• 👥 Crowdsourcing
• 🧑‍🤝‍🧑 Customer 360
• 👥 Customer Data Platform
• 🤝 Customer Relationship Management
• 🛍️ Customers
• 🧾 DAMA Dictionary
• 📘 DAMA International
• 📚 DAMA-DMBOK
• 📚 DCAT
• 🔗 DCAT Namespace
• 🗂️ DCAT-AP
• 🗂️ DCMI Metadata Terms
• 🏷️ DUNS Number
• 💾 Data
• 🔐 Data Access
• 🎯 Data Accuracy
• ❓ Data Ambiguity
• 🔍 Data Anomalies
• 🕵️‍♀️ Data Anonymization
• 📦 Data Archival
• 🗄️ Data Archiving
• 🗂️ Data Card
• 🔗 Data Citation
• 🏷️ Data Classification
• 🧹 Data Cleaning
• 🧼 Data Cleansing Tools
• 🌐 Data Commons
• ✅ Data Completeness
• 📜 Data Contracts
• ⏱️ Data Currency
• 🛠️ Data Custodianship
• 🫥 Data De-identification
• 🧹 Data Deletion
• 📖 Data Dictionary
• 🔎 Data Discovery Platform
• 🗑️ Data Disposal
• 🧬 Data Diversity
• 📝 Data Documentation
• 🗂️ Data Domains
• 📊 Data Drift
• ➕ Data Enrichment
• ⚖️ Data Ethics
• 🗂️ Data Format
• ⏱️ Data Freshness
• 🕳️ Data Gaps
• 📖 Data Glossary
• 🛡️ Data Governance
• 👥 Data Governance Committee
• 🏢 Data Governance Office
• 🧼 Data Hygiene
• 🩹 Data Imputation
• 🔗 Data Integration
• 🔒 Data Integrity
• 🔗 Data Interoperability
• 📦 Data Inventory
• 📜 Data License
• 🔄 Data Lifecycle
• 🔄 Data Lifecycle Management
• 🧭 Data Lineage
• 🛡️ Data Loss Prevention
• 🗂️ Data Management
• 🧩 Data Mapping
• 🛒 Data Marketplace
• 🕶️ Data Masking
• 🧩 Data Matching Engines
• 🪶 Data Minimization
• 🧩 Data Model Management
• 📊 Data Monitoring
• 🫥 Data Obfuscation
• 🧭 Data Onboarding
• 🔄 Data Portability
• 🗂️ Data Portal
• 🔒 Data Privacy
• 🛠️ Data Processor
• ♻️ Data Product Lifecycle
• 🔍 Data Profiling
• 🔗 Data Provenance
• 🪪 Data Pseudonymization
• 📤 Data Publishing
• 🗑️ Data Purging
• ✅ Data Quality
• 📊 Data Quality Dashboards
• 🛡️ Data Quality Gates
• ✅ Data Quality Tools
• 🧩 Data Quantum
• ⚖️ Data Reconciliation
• 🗄️ Data Repository
• 🧱 Data Schema
• 🔄 Data Sharing
• 🤝 Data Sharing Agreement
• 🛰️ Data Sharing Hub
• 🗂️ Data Silos
• 🕳️ Data Sparsity
• 📏 Data Standardization
• 📏 Data Standards
• 🧭 Data Steward
• 🧭 Data Steward Coverage Metrics
• 🙋 Data Subject Access Request
• 🧑‍⚖️ Data Subject Rights
• 🫧 Data Swamp
• 🔁 Data Synchronization
• 🧭 Data Understanding
• 🧰 Data Utility
• ✔️ Data Validation
• ✅ Data Veracity
• 🧹 Data Wrangling
• 📦 Data as a Product
• 🗃️ Dataset
• 🗂️ Datasheet for Datasets
• 🔡 Datatype Property
• 🔹 Datum
• 🏷️ David Loshin’s Definition of Master Data
• 🕶️ De-identification
• 📊 Decile
• 🧹 Deduplication
• 🧪 Deequ
• 📖 Definition
• 🔣 Delimiter
• 📊 Demographic Parity
• 🧮 Derived Attribute
• 🏷️ Descriptions-Labels
• ✅ Deterministic Algorithms
• 🩺 Diagnosis Codes
• 🏥 Diagnosis-Related Group
• 🔗 Digital Object Identifier
• 🏷️ Digital Product Passport
• 🧩 Dimension Table
• 🔍 Disambiguation
• 🚫 Disjoint Classes
• 🚫 Disjointness
• 🗂️ Document Management
• 📝 Documentation
• 🎯 Domain Constraint
• 🎯 Domain Knowledge
• 🧩 Domain Ontology
• 🧩 Domain-Driven Ownership
• 🏷️ Domain-Oriented Data
• 🎁 Donors
• 🏷️ Dublin Core
• 🏷️ Dublin Core Metadata Initiative
• 🏢 Dun and Bradstreet (D&B) Company Directory
• 🧭 Duplicate Identification
• 📘 EDM Council DCAM
• 🛡️ ELTG
• 📊 EU Open Data Portal
• 🏥 Electronic Health Record
• 👩‍💻 Employees
• 🏢 Enterprise Data Model
• 🏭 Enterprise Resource Planning
• 🏢 Enterprise Structure Data
• 🔑 Entitlements
• 🆔 Entity Identity Information Management
• 🔗 Entity Linking
• 🧩 Entity Resolution
• ♾️ Equivalence Relationship
• 🧠 Essence
• ⚖️ Establish Governance Policies
• 🔎 Evaluate and Assess Data Sources
• 🧩 Exact Match
• 🧩 Experian Consumer IDs
• 🔄 Extract-Transform-Load
• 🧭 FAIR Data
• 🔍 FAIR Principles
• 🛡️ FIPS
• 🏳️ FIPS Country Codes
• 🧭 Facet Analysis
• 🧑‍🏫 Faculty
• 🙈 False Negative
• ⚠️ False Positive
• 🌊 Feature Drift
• 📇 Feature Registry
• 🫱🏻‍🫲🏽 Federated Governance
• 🧮 Fellegi–Sunter Model
• 💰 Financial Master Data
• 🛡️ Fine-Grained Access Control
• 🏷️ Folksonomy
• 🧪 Formal Ontological Analysis
• 🏛️ Foundational Ontology
• 👥 Friend of a Friend
• 1️⃣ Functional Property
• 🛡️ GDPR
• 🧩 Gartner’s Definition of Master Data Management
• 🧬 Gene Ontology
• 📘 General Ledger
• 📒 General Ledger Accounts
• 🔑 Global ID
• 🗂️ Global Industry Classification Standard
• 🌐 Global Restriction
• 📚 Glossary
• 🥇 Golden Record
• ⚖️ Governance
• 📜 Governance Policies
• ✅ Great Expectations
• 🔗 Handle System
• 🏥 Health Data
• 🏗️ Heavy-weight Ontology
• 🧩 Heterogeneous Data
• 🙈 Hidden Label
• 🪜 Hierarchical Relationship
• 🌲 Hierarchy
• 🗂️ Hierarchy Management
• 🕰️ Historical Versions
• 🧱 Homogeneous Data
• 🏥 ICD Codes
• 🧾 ICD-10 Codes
• 🏥 ICD-9 Codes
• 🗺️ ISO 19115
• 🌐 ISO 3166
• 📜 ISO 8000
• 🗺️ ISO State Codes
• ✅ ISO-IEC 25012
• 🆔 Identity
• 🧩 Identity Resolution
• 🏷️ Image Annotation
• 🧾 Immutable Log
• 🧩 Imputation
• 🗂️ Industry Classification
• 🧾 Industry Reference Data
• ℹ️ Information
• 📝 Information Analyst
• 🗂️ Information Architecture
• ♻️ Information Lifecycle Management
• 🔹 Instance
• 🧾 Instance Data
• 🏷️ Instance-of Relationship
• 🎯 Intended Meaning
• 📊 Inter-annotator Agreement
• 🛡️ International Association of Privacy Professionals
• 🏥 International Classification of Diseases
• 🏷️ International Standard Industrial Classification
• 📊 Interquartile Range
• 📏 Interval (NOIR)
• 🆔 Inverse Functional Property
• 🌳 Is-a Relation
• 🔒 Item Level Security
• ✅ JSON Schema
• 🔎 Keyword
• 📚 Knowledge
• 📚 Knowledge Base
• 🗂️ Knowledge Management System
• 📚 Knowledge Organization
• 🗃️ Knowledge Organization System
• 🧠 Knowledge Representation
• 🗃️ Knowledge Taxonomy
• 🧬 LOINC
• 🧪 Label Noise
• 🏷️ Labeled Data
• ✍️ Labeling
• 🕰️ Late Data Handling
• 🎓 Learning Object
• 🧩 Least Privilege
• 🏛️ Legal Entity
• 🏛️ Legal Entity Identifier
• 🏛️ Legal Master Data
• 🔡 Levenshtein Distance
• 🔤 Lexical Ontology
• 📚 Lexical Resource
• ♻️ Lifecycle Policies
• 🪶 Light-weight Ontology
• 🧭 Lineage
• 🔗 Linked Data
• 🧹 Listwise Deletion
• 🏘️ Local Data Hub
• 🗄️ Local Data Store
• 📍 Local Restriction
• 📍 Location Master Data
• 🔗 MAR
• 🎲 MCAR
• 🛠️ MDM Application Platforms
• 🧩 MNAR
• 🗂️ Malcolm Chisholm’s Six-Layer Taxonomy
• 🏗️ Manufacturing Execution Systems
• 🔗 Mapping Relation
• 🧺 Market Basket Analysis
• 🧩 Master Data
• 🧹 Master Data Analyst
• 🧭 Master Data Management
• 🧭 Master Data System
• 🫱🏻‍🫲🏽 Match-Link Rules
• 🧱 Match-Merge Rules
• 🔗 Matching
• 🧱 Material Ontology
• 🩹 Mean Imputation
• 📏 Measurement Error
• 📏 Measurement Scale
• 📏 Median Absolute Deviation
• 🩹 Median Imputation
• 👥 Member
• 🧩 Mereology
• 🏷️ Metadata
• 📥 Metadata Harvesting
• 🗂️ Metadata Management
• 🏷️ Metadata Policies
• 🗂️ Metadata Repositories
• 🗂️ Metadata Schema
• ❓ Missing Data
• 🧱 Model Data
• 📜 Model Provenance
• 🗂️ Model Registry
• 🔎 Model Transparency
• 🗺️ Monad Map
• 📡 Monitor Data Movement
• 🌲 Monohierarchy
• 🛰️ Monte Carlo Data
• 🌐 Multi-Language Lists
• ♻️ Multiple Imputation
• 🏭 NAICS
• 🏭 NAICS Codes
• 🛡️ NIST Privacy Framework
• ⬇️ Narrow Match
• ⬇️ Narrower Term
• 🏷️ Nominal (NOIR)
• 🧩 Non-Personal Data
• 🔖 Non-sortal
• 📊 Nonparametric Methods
• 🔢 Notation
• 🚫 Null Handling
• ∅ Null Value
• 🧬 OBO Foundry
• 🧹 OCR Post-Processing
• 🆔 ORCID
• 🦉 OWL
• 🎲 Odds
• ⚖️ Odds Ratio
• 🧼 OntoClean
• 📚 Ontological Framework
• 🧠 Ontology
• 🧠 Ontology Alignment
• 🧰 Ontology Editor
• 🛠️ Ontology Engineering
• 📥 Ontology Import
• 📚 Ontology Library
• 🔗 Ontology Mapping
• 🔗 Ontology Reuse
• 🔄 Ontology Versioning
• 🌐 Open Data
• 📜 Open Data Contract
• 🗂️ Open Data Directive
• 🔓 Open Data and Code Sets
• 🌐 Open Dataset
• 🏛️ Open Government Data
• 📄 Open Model Spec
• 🌐 Open World Assumption
• 🧭 OpenLineage
• 🗂️ OpenMetadata
• 📊 Operational Metadata
• 🧾 Order Status
• 🔢 Ordinal (NOIR)
• 🔢 Ordinal Data
• 🔢 Ordinal Scale
• 🔢 Ordinal Variable
• 📉 Outliers
• 🧭 Ownership Principle
• 🧭 PROV-O
• 🧩 Part-of Hierarchy
• 🧩 Part-of Relation
• 🔹 Particular
• 🤝 Partners
• 👥 Party Master Data
• 🩺 Patients
• ⏰ Periodic Data Refreshment
• 🔐 Permissions
• 🔖 Persistent Identifier
• 📜 Policy Design
• 🌳 Polyhierarchy
• 👥 Population
• 📄 Portable Document Format
• 🏤 Postal Codes
• 🏷️ Preferred Label
• 🧼 Preprocessing
• 🛡️ Privacy
• 🎲 Probabilistic Algorithms
• 🏥 Procedure Codes
• 📦 Product Classification
• 🗂️ Product Data Management
• 📦 Product Master Data
• 🧪 Profiling
• 💰 Profit Center
• 📅 Project Management Data
• 🔒 Proprietary Dataset
• 🏷️ Proprietary-Internal Reference Data
• 🏥 Protected Health Information
• 🔗 Provenance
• 🕸️ Provenance Graph
• 🏥 Providers
• 🧩 Proxy
• 🕵️‍♂️ Pseudonymization
• 📤 Publish Reference and Master Data
• 🧾 Purchase Order
• 🎯 Purpose Limitation
• 🧪 Quality Assurance
• ✅ Quality Control
• ✅ Quality Principle
• 📊 Quantile
• 🪜 Quartile
• 🧩 RDF Reification
• 🧩 RDF Schema
• 🔗 RDF Vocabulary
• 🔗 RDFa
• 📄 RFC 4180
• 🎲 Random Sampling
• 📐 Range Constraint
• 📏 Ratio (NOIR)
• 📏 Ratio Scale
• ⚖️ Re-identification Risk
• 🏛️ Realism
• 📓 Records of Processing Activities
• 🏷️ Reference Data
• 📚 Reference Data Management
• 🗂️ Reference Data Management Systems
• 🗂️ Registry Architecture
• 🪪 Reification
• 🔗 Related Term
• 📄 Report
• 🧑‍💼 Resource Ownership
• 📐 Restriction
• 🗄️ Retention Policy
• ↩️ Reversibility
• 🧽 Right to be Forgotten
• 🕵️ Root Cause Analysis
• 🧩 Row Level Changes
• 🧱 Row-Level Security
• 🧩 SHACL
• 🏢 SIC
• 🧺 SKOS Collection
• 🏷️ SKOS-XL
• 🏥 SNOMED CT
• 📡 SOSA
• 🧠 SPARQL
• 📡 SSN
• 🎯 Sampling
• ⚠️ Sampling Bias
• 🗓️ Scheduled Report
• 🛡️ Schema Enforcement
• 🗺️ Schema Mapping
• 🧱 Schema-ontology
• 📝 Scope Note
• 📊 Scorecard
• 🧼 Scrubbing
• 🧩 Self-Service Analytics
• 🛠️ Self-Service BI
• 📊 Self-Service Business Intelligence
• 🔄 Semantic Consistency
• 🧩 Semantic Data Model
• 🔀 Semantic Heterogeneity
• 🧠 Semantic Interoperability
• ⚠️ Semantic Issues
• 🧠 Semantic Layer
• 📚 Semantic Model
• 🔗 Semantic Relationship
• 🛡️ Sensitive Attribute
• ⚠️ Sensitive Data
• 📐 ShEx
• 🕶️ Shadow IT
• 🥈 Silver Layer
• 🎯 Similarity Analysis
• 🗂️ Simple Knowledge Organization System
• 🗂️ Simple Reference List
• 👁️ Single View
• 📈 Skewness
• ✅ Soda Core
• 🗑️ Soft Delete
• 🔌 Source System
• 📊 Spreadsheet
• 🧾 Standards as Code
• 🗺️ State Codes
• 🗺️ States-Provinces
• 📊 Statistical Process Control
• 🛡️ Stewardship
• 🛡️ Stewardship Principle
• 🎯 Stratified Sampling
• 🎓 Students
• 🏷️ Subject Heading Scheme
• 📑 Subject Headings
• 🔎 Subject Indexing
• 🏭 Suppliers
• 🗃️ Survivorship
• 🧭 Survivorship Rules
• 🚓 Suspects
• 🔗 Synonym Ring
• 🔤 Synset
• 🧭 System of Reference
• 🎯 Systematic Error
• 🏷️ Tagging
• 🏷️ Tags & Labels
• 🗂️ Taxonomy
• 🗃️ Taxonomy Management Tools
• 🧩 Technical Metadata
• 📖 Terminology
• 🏷️ Terminology Management
• 🗂️ Theme Map
• 📚 Thesaurus
• 🎫 Ticket Status
• ⏰ Timeliness
• 🗂️ Topic-ontology
• 🧵 Traceability
• 📚 Training Data
• 🕵️ Transaction Audit Data
• 🔄 Transaction Hub
• 🧩 Transaction Structure Data
• 🧾 Transactional Data
• 🔎 Transparency
• 🗺️ UN M49
• 🔖 UNSPSC
• 📬 USPS State Codes
• 🔡 UTF-16
• 🔐 Unified Data Access Control
• 🆔 Uniqueness
• 🗂️ Unity Catalog
• 🔗 Universal-particular Relation
• 🔗 Universal-universal Relation
• 🧩 Unlabeled Data
• 🧭 Upper Ontology Alignment
• ✔️ Validation Rules
• 🏷️ Value Set
• 🏪 Vendors
• ✔️ Verification
• 🔢 Versioning
• 🆘 Victims
• 🔗 VoID
• 🧭 Vocabulary Alignment
• 🕸️ W3C
• 📚 W3C DCAT
• 🎯 Weighted Approximate Matching
• ✅ Whitelist
• 🧱 Whole-part Relationship
• 🗃️ Wikidata
• 🗣️ Witness
• 🧠 Word Sense
• 👥 Workspace Role
• 🧩 ZIP Codes
• 🏥 openEHR
• 🚫 owl:disjointWith
• ⚖️ owl:equivalentClass
• ↔️ owl:inverseOf
• 🔄 owl:sameAs
• 🔀 rdf:Alt
• 🗃️ rdf:Bag
• 🧾 rdf:List
• 🔢 rdf:Seq
• 🏷️ rdfs:domain
• 🎯 rdfs:range
• 🧩 rdfs:subPropertyOf