Data governance, quality, and metadata management
Knowledge Areas
- Data Management
- Data Governance
- AI Governance
- Data Quality
- Metadata Management
- Reference & Master Data
Terms (1046)
- 3️⃣ 3Vs
- 5️⃣ 5Vs
- ✅ ACID Transactions
- 🧠 AGIEval
- 🤝 AI Alignment
- ⚖️ AI Ethics
- ⚖️ AI Governance
- 🧭 AI Management Systems
- 🧭 AI Risk Management
- 🛡️ AI Safety
- 🗑️ AI Slop
- 🧭 AI Strategy
- 🎭 AI Washing
- 🛡️ API Management
- 🏛️ ARK
- 🧪 AWS Glue
- 🔐 Access Control
- ♿ Accessibility
- 👤 Account
- 🔖 Account Status
- 🧭 Accountability
- ✅ Accreditation
- 📊 Accumulated Local Effects
- 📥 Acquire Data Sources for Sharing
- ⚙️ Active Metadata
- 📊 Actuals
- 🆔 Acxiom Consumer IDs
- ⚡ Ad-hoc Updates
- 🏷️ Address Standardization
- 🏠 Addresses
- 🗺️ Administrative Boundary
- 😊 Affective Computing
- 🧩 Affiliation Management
- 🤖 Agent
- 🤖 Agentic AI
- ⚠️ Algorithmic Bias
- ⚖️ Algorithmic Fairness
- ⚖️ Alignment
- 🧭 Alignment Funnel
- 🏷️ Alternative Label
- 🧩 Amalgamated Data
- 🩺 American Medical Association’s Prescriber Database
- 🏛️ American National Standards Institute
- 🧩 Ancillary Data
- 📝 Annotation
- 🏷️ Annotation Property
- 🚨 Anomaly Detection
- 🗝️ Anonymization
- 🏢 Anthropic
- 🗂️ Apache Atlas
- 🛠️ Application Ontology
- 🧩 Application Profile
- 🧩 Applied Ontology
- 🛂 Approval Gates
- ✅ Approval Process
- ✅ Approval Workflow
- 🗄️ Archiving
- 🧠 Artificial General Intelligence
- 🤖 Artificial Intelligence
- 🎓 Artificial Intelligence Governance Professional
- 🎯 Artificial Narrow Intelligence
- 🧠 Artificial Super Intelligence
- 🤝 Associative Relationship
- 🧩 Assumptions
- 🧾 Attribute Naming
- 🏷️ Attribute-Based Access Control
- 🔎 Audit
- 📜 Audit Logging
- 📜 Audit Trail
- 🧾 Auditability
- 🤝 Augmented Intelligence
- 🪪 Authority File
- 🏛️ Authority Principle
- 🔐 Authorization
- 🤖 Automated Governance
- 🦾 Autonomous Agent
- 🧭 Autonomy
- 🟢 Availability
- 📌 Axiom
- 🧪 BASE
- 📊 BI Dashboard
- 🔖 BOM
- 🕳️ Backdoor Attack
- ↩️ Backfill
- 💾 Backup
- 🛡️ Backup and Recovery
- 🔎 Backward Engineering
- 📦 Batch Ingestion
- 📘 Best Practices
- ⚖️ Bias & Fairness
- ⚖️ Bias Mitigation
- ⚖️ Bias and Fairness
- 📦 Bill of Materials
- 📊 Binning
- 🧬 Biological Data
- 🕰️ Bitemporal Modeling
- 🕳️ Black-box Model
- 🔗 Blockchain
- 🚨 Breach Notification
- ⬆️ Broad Match
- ⬆️ Broader Term
- 🥉 Bronze Layer
- 🧮 Budget
- 🧭 Business Context
- 🛡️ Business Continuity
- 🧭 Business Data Steward
- 🎯 Business Drivers
- 📖 Business Glossary
- 📈 Business Intelligence
- 📊 Business Intelligence ROI
- 📊 Business Intelligence System
- 🏷️ Business Metadata
- 📏 Business Metrics
- 🤝 Business Partner
- 📐 Business Rules
- 🧭 Business Understanding
- 🏢 Business Unit
- 🏛️ Business-to-Government Data Sharing
- 🧹 C4 Dataset
- 🤝 CARE Principles
- 🛡️ CCPA
- 📝 CIDEr
- 🛡️ CNSSI 4009
- 🧭 CRISP-DM
- 🛡️ California Consumer Privacy Act (CCPA)
- ⚖️ California Privacy Rights Act
- 🌍 Carbon Footprint
- 🔗 Causation
- 🏢 Celonis
- 🧮 Census
- 🗺️ Census Tract
- 📜 Certificate Policy
- ✅ Certification
- 🎓 Certified Data Management Professional
- 🛡️ Certified Robustness
- 🔄 Change Enablement
- 🔁 Change Management
- 📝 Change Request
- 📝 Change Request Process
- 🔤 Character Encoding
- 💳 Chargeback
- 🗂️ Chart of Accounts
- 🏛️ Chief Data Officer
- 🧠 Chief Technology Officer
- 🏙️ Cities-Towns
- 🏛️ Citizens
- 🧩 Class
- 🗂️ Classification Scheme
- 🛡️ Claude
- 🏥 Clinical Data
- 🤝 Close Match
- 🔒 Closed World Assumption
- 💸 Cloud Cost Management
- 🧾 Code Set
- 📇 Code Tables
- 🔢 Code Values
- 🛡️ Collibra
- 🗂️ Column-Level Security
- 📚 Common Core Ontology
- 🕸️ Common Crawl
- 🛡️ Common Criteria
- 🇪🇺 Common European Data Spaces
- 🧠 Commonsense Knowledge
- 🏢 Company Master Data
- ✅ Completeness
- ✅ Compliance
- ✅ Compliance Automation
- ✅ Compliance as Code
- ⚙️ Computational Governance
- 📊 Computational Reference Data
- 🗂️ Concept Scheme
- ⚖️ Conditions-of-Use Agreements
- 🎯 Confidence Percentage
- 🔐 Confidential Computing
- 🧪 Confirmatory Data Analysis
- 📏 Conformance
- 📝 Conformity Assessment
- ✅ Consent
- ✅ Consent Management
- 🗄️ Consolidated Approach
- ✔️ Constraint Checking
- 📏 Constraints
- 🛡️ Content Moderation
- 🧠 Context
- 📜 Contract
- 📈 Control Chart
- 🧪 Controlled Change Principle
- 🗂️ Controlled Terminology
- 📝 Controlled Vocabulary
- ©️ Copyright
- 🧩 Core Ontology
- 🔗 Correlation
- 🧾 Cost Allocation
- 🧾 Cost Center
- 💸 Cost Optimization
- ⚖️ Cost-Benefit Analysis
- 🔀 Counterfactual
- 🔀 Counterfactual Explanations
- 🔀 Counterfactual Fairness
- 🧭 Counties
- 🌍 Countries
- 🌍 Country Codes
- 🪪 Creative Commons
- 🔁 Cross-Reference
- 🧭 Cross-Reference Lists
- 👥 Crowdsourcing
- 🧑🤝🧑 Customer 360
- 👥 Customer Data Platform
- 🤝 Customer Relationship Management
- 🛍️ Customers
- 🛡️ Cybersecurity Act
- 🧾 DAMA Dictionary
- 📘 DAMA International
- 📚 DAMA-DMBOK
- 📚 DCAT
- 🔗 DCAT Namespace
- 🗂️ DCAT-AP
- 🗂️ DCMI Metadata Terms
- 🏷️ DUNS Number
- 💾 Data
- 🔐 Data Access
- 🎯 Data Accuracy
- 🛰️ Data Acquisition
- ⚖️ Data Act
- 🤝 Data Altruism
- ❓ Data Ambiguity
- 🔍 Data Anomalies
- 🔎 Data Anomaly Detection
- 🕵️♀️ Data Anonymization
- 🧱 Data Architect
- 🧱 Data Architecture
- 📦 Data Archival
- 🗄️ Data Archiving
- 🛟 Data Backup and Recovery
- ⚖️ Data Balancing
- 🗂️ Data Card
- 📈 Data Change Activity Metrics
- 🔗 Data Citation
- 🧑🏫 Data Citizen
- 🏷️ Data Classification
- 🔒 Data Clean Room
- 🧹 Data Cleaning
- 🧼 Data Cleansing Tools
- 🤝📊 Data Collaboratives
- 🌐 Data Commons
- ✅ Data Completeness
- 🔗 Data Consistency
- 📜 Data Contracts
- 🤝 Data Cooperative
- 🧑💼 Data Council
- 🌱 Data Culture
- ⏱️ Data Currency
- 🛠️ Data Custodianship
- 🫥 Data De-identification
- 🫱🏽🫲🏿 Data Decolonization
- ♻️ Data Deduplication
- 🧹 Data Deletion
- 🌐 Data Democratization
- 📖 Data Dictionary
- 🌐🤝 Data Diplomacy
- 🔎 Data Discovery Platform
- 🗑️ Data Disposal
- 🧬 Data Diversity
- 📝 Data Documentation
- 🗂️ Data Domains
- 🕸️ Data Ecosystem
- 🔐 Data Encryption
- ➕ Data Enrichment
- ⚖️ Data Ethics
- 🔬 Data Exploration
- 🧲 Data Extraction
- 🕸️ Data Fabric
- 🗂️ Data Format
- ⏱️ Data Freshness
- 🕳️ Data Gaps
- 📖 Data Glossary
- 🛡️ Data Governance
- 👥 Data Governance Committee
- 🏢 Data Governance Office
- 🔎 Data Granularity
- 🧼 Data Hygiene
- 🩹 Data Imputation
- 🔄 Data Ingestion and Consumption Metrics
- 🔗 Data Integration
- 🔒 Data Integrity
- 🔗 Data Interoperability
- 📦 Data Inventory
- ⚖️ Data Justice
- 📜 Data License
- 🔄 Data Lifecycle
- 🔄 Data Lifecycle Management
- 🧭 Data Lineage
- 🎓 Data Literacy
- 🛡️ Data Loss Prevention
- 🗂️ Data Management
- 🧭 Data Management Framework
- 🧩 Data Mapping
- 🛒 Data Marketplace
- 🗂️ Data Mart
- 🕶️ Data Masking
- 🧩 Data Matching Engines
- 📈 Data Maturity
- 🕸️ Data Mesh
- 🚚 Data Migration
- 🪶 Data Minimization
- ⛏️ Data Mining
- 🧩 Data Model Management
- 💰 Data Monetization
- 📊 Data Monitoring
- 🫥 Data Obfuscation
- 🧭 Data Onboarding
- 💾 Data Persistence
- 🏛️ Data Politics
- 🔄 Data Portability
- 🗂️ Data Portal
- 🧼 Data Preprocessing
- 🔒 Data Privacy
- 📄 Data Processing Agreement
- 🛠️ Data Processor
- ♻️ Data Product Lifecycle
- 🧭 Data Product Manager
- 📦 Data Product Owner
- 🔍 Data Profiling
- 🛡️ Data Protection
- 🛡️ Data Protection Officer
- 🔗 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 Science Lifecycle
- 🔐 Data Security
- 🔄 Data Sharing
- 🤝 Data Sharing Agreement
- 🛰️ Data Sharing Hub
- 📤 Data Sharing Volume and Usage
- 🗂️ Data Silos
- 🛰️ Data Source
- 🏛️ Data Sovereignty
- 🌐 Data Space
- 🧩 Data Spaces Support Centre
- 🕳️ Data Sparsity
- 📏 Data Standardization
- 📏 Data Standards
- 🧭 Data Steward
- 🧭 Data Steward Coverage Metrics
- 🎯 Data Strategy
- 🙋 Data Subject Access Request
- 🧑⚖️ Data Subject Rights
- 🫧 Data Swamp
- 🔁 Data Synchronization
- 🗃️ Data Tiering
- 🔧 Data Transformation
- 🔠 Data Types
- 🧭 Data Understanding
- 🧰 Data Utility
- ✔️ Data Validation
- 💸 Data Valuation
- 🧩 Data Variety
- 🏰 Data Vault
- ✅ Data Veracity
- 🗃️ Data Version Control
- 🗃️ Data Versioning
- 🌪️ Data Volatility
- 📦 Data Volume
- 🏢 Data Warehouse
- 🏛️ Data Warehousing
- 🧹 Data Wrangling
- 📦 Data as a Product
- 🧩 Data as a Service
- 🏢 Data-Driven Organization
- ⚙️ DataOps
- 🗄️ Database
- 🗄️ Database Management System
- 🗃️ Dataset
- 🗂️ Datasheet for Datasets
- 🔡 Datatype Property
- 📅 Date Format
- 🔹 Datum
- 🏷️ David Loshin’s Definition of Master Data
- 🕶️ De-identification
- 🗃️ Dead Letter Queue
- 🕸️ Decentralized Data Architecture
- 🕵️♂️ Deception
- 📝 Declarative Governance
- 🧹 Deduplication
- 🧪 Deequ
- 🛡️ Defensive Distillation
- 📐 Define Architectural Approach
- 📖 Definition
- 🧩 Deliberate Reasoning
- 📊 Demographic Parity
- 🔇 Denoising
- ⚠️ Deprecation
- 📚 Description Logic
- 🏷️ Descriptions-Labels
- ✅ Deterministic Algorithms
- 🩺 Diagnosis Codes
- 🏥 Diagnosis-Related Group
- 🔒 Differential Privacy
- 🔐 Digital Certificate Management
- 📜 Digital Content Directive
- 🔗 Digital Object Identifier
- 🏷️ Digital Product Passport
- ⚖️ Digital Rights
- 🔏 Digital Signature
- 🛡️ Disaster Recovery
- 🔑 Discretionary Access Control
- ⚖️ Discrimination
- ⚖️ Disparate Impact
- 📉 Distribution Shift
- 🚫 Do Not Sell
- 📄 Document AI
- 🗂️ Document Management
- 📝 Documentation
- 🗂️ Domain
- 🎯 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
- 💾 Durability
- 🧱 Durability (ACID)
- 📘 EDM Council DCAM
- 🛡️ ELTG
- 🔄 ETL
- 🏢 EU Agency for Cybersecurity
- ✅ EU Cybersecurity Certification Framework
- 📊 EU Open Data Portal
- 📠 Electronic Data Interchange
- 🏥 Electronic Health Record
- 👩💻 Employees
- 🗄️ Encrypting Files
- 🔒 Encryption at Rest
- 🏛️ Enterprise Architecture
- 🏗️ Enterprise Data Architecture
- 🏢 Enterprise Data Model
- 🏢 Enterprise Data Warehouse
- 🏭 Enterprise Resource Planning
- 🏢 Enterprise Structure Data
- 🔑 Entitlements
- 🆔 Entity Identity Information Management
- 🧩 Entity Resolution
- 🔐 Envelope Encryption
- 🧠 Epistemology
- 📈 Epoch AI
- ε Epsilon
- 📊 Equal-Width Binning
- 🧮 Equalized Odds
- ♾️ Equivalence Relationship
- 🧠 Essence
- ⚖️ Establish Governance Policies
- 🏛️ European Data Innovation Board
- 🗺️ European Data Union Strategy
- 🔬 European Open Science Cloud
- 🧭 European Strategy for Data
- 🔎 Evaluate and Assess Data Sources
- 🎭 Evasion Attack
- 🔎 Evidence
- 🧩 Exact Match
- ✅ Exactly-Once Processing
- 🧩 Experian Consumer IDs
- 🔍 Explainability
- 🧭 Explainability Dashboard
- 🧮 Explicit Measure
- 🔎 Exploratory Data Analysis
- 🔄 Extract-Transform-Load
- 🧭 FAIR Data
- 🔍 FAIR Principles
- 🎓 FERPA
- 🏥 FHIR
- 🛡️ FIPS
- 🔐 FIPS 140-3
- 🏳️ FIPS Country Codes
- 📊 Fact Table
- ⚖️ Fairness
- ⚖️ Fairness Metrics
- 🙈 False Negative
- ⚠️ False Positive
- 📇 Feature Registry
- 🧩 Feature Store
- 🧬 Federated Computational Governance
- 🫱🏻🫲🏽 Federated Governance
- 🧮 Fellegi–Sunter Model
- 🔎 Filtering
- 💸 FinOps
- 💰 Financial Master Data
- 🛡️ Fine-Grained Access Control
- 🏷️ Folksonomy
- 🔗 Foreign Key
- 🧪 Formal Ontological Analysis
- ✔️ Formal Verification
- 🧱 Foundation Model
- 🌐 Free Flow of Non-Personal Data
- 🗂️ Frequency Table
- 👥 Friend of a Friend
- 🚀 Frontier Model
- 💾 Full Backup
- 1️⃣ Functional Property
- 🛡️ GDPR
- 🚀 GPT-5
- 📊 Gartner
- 🧩 Gartner’s Definition of Master Data Management
- 📒 General Ledger Accounts
- 🤖 Generative AI
- 🗺️ Geographic-Geo-Statistical Data
- 🔑 Global ID
- 🗂️ Global Industry Classification Standard
- 📚 Glossary
- 🎯 Goal Cascade
- 🥇 Golden Record
- 🤖 Google DeepMind
- ⚖️ Governance
- 📜 Governance Policies
- 🛡️ Governance as Code
- ✅ Great Expectations
- ♻️ Green AI
- 📎 Grounding
- ⚖️ Group Attribution Bias
- 🛡️ Guardrails
- 📋 Guidelines
- 🏥 HIPAA
- 🏥 HL7 v2
- 🚫 Hallucination
- 🔗 Handle System
- 🔐 Hardware Security Module
- ️⃣ Hash Function
- 🏥 Health Data
- 🏥 Health Level Seven International
- 🏗️ Heavy-weight Ontology
- 🧩 Heterogeneous Data
- 🙈 Hidden Label
- 🪜 Hierarchical Relationship
- 🌲 Hierarchy
- 🗂️ Hierarchy Management
- 🔢 High Cardinality
- 🕰️ Historical Versions
- 🧱 Homogeneous Data
- 🔐 Homomorphic Encryption
- 🧑⚖️ Human Evaluation
- 🧑⚖️ Human Oversight
- 🧑⚖️ Human-in-the-Loop
- ☁️ Hybrid Cloud
- 🛂 IAM
- 🏥 ICD Codes
- 🧾 ICD-10 Codes
- 🏥 ICD-9 Codes
- 🌐 ISO
- 🗺️ ISO 19115
- ⚠️ ISO 31000
- 🌐 ISO 3166
- 📜 ISO 8000
- 🗺️ ISO State Codes
- ⚖️ ISO-IEC 23894
- ✅ ISO-IEC 25012
- 🔐 ISO-IEC 27001
- 🧭 ISO-IEC 42001
- 🧭 IT Governance
- 🧭 Identify Drivers and Requirements
- 🆔 Identity
- 🧩 Identity Resolution
- 🏷️ Image Annotation
- 🧾 Immutable Log
- 🧩 Imputation
- 💾 Incremental Backup
- 📈 Incrementality Testing
- 🗂️ Industry Classification
- 🧾 Industry Reference Data
- 📏 Industry Standards
- ℹ️ Information
- 📝 Information Analyst
- 🗂️ Information Architecture
- ⚖️ Information Asymmetry
- ♻️ Information Lifecycle Management
- 🔐 Information Security Management System
- 🏛️ Inmon Methodology
- 🏷️ Instance-of Relationship
- 🧭 Instruction Following
- ©️ Intellectual Property
- 🎯 Intended Meaning
- 📊 Inter-annotator Agreement
- 🛡️ International Association of Privacy Professionals
- 🏥 International Classification of Diseases
- 🏷️ International Standard Industrial Classification
- 🔍 Interpretability
- 📊 Interquartile Range
- 🆔 Inverse Functional Property
- 🔒 Item Level Security
- 🔓 Jailbreak
- ⚖️ Jurisdiction
- 🧠 KDD
- 🗝️ Key Management
- 🏷️ Key Management Service
- ♻️ Key Rotation
- 🔎 Keyword
- 📊 Kimball Methodology
- 📚 Knowledge
- 📚 Knowledge Base
- 🗂️ Knowledge Management System
- 📚 Knowledge Organization
- 🗃️ Knowledge Organization System
- 🧠 Knowledge Representation
- 🗃️ Knowledge Taxonomy
- 📈 Kurtosis
- 🛡️ Kyverno
- 🧩 LAION-5B
- 🗂️ LDAP
- 🇧🇷 LGPD
- 🔍 LIME
- 🧪 LLM Evaluation
- 🧬 LOINC
- 🧪 Label Noise
- 🏷️ Labeled Data
- ✍️ Labeling
- 🏷️ Lakehouse Domain
- 🛬 Landing Zone
- 🕰️ Late Data Handling
- ⚖️ Lawful Basis
- ♻️ Lean
- 🧩 Least Privilege
- 🏛️ Legal Entity
- 🏛️ Legal Entity Identifier
- 🏛️ Legal Master Data
- ⚖️ Legitimate Interest
- 🔡 Levenshtein Distance
- 📚 Lexical Resource
- 📜 Licensing
- ♻️ Lifecycle Policies
- 🪶 Light-weight Ontology
- 🧭 Lineage
- 🔗 Linked Data
- 🧹 Listwise Deletion
- 🏘️ Local Data Hub
- 🗄️ Local Data Store
- 📍 Location Master Data
- 🔗 MAR
- 🎲 MCAR
- 🛠️ MDM Application Platforms
- 🧩 MNAR
- 🧰 Maintainability
- 🗂️ Malcolm Chisholm’s Six-Layer Taxonomy
- 🔐 Mandatory Access Control
- 🏗️ Manufacturing Execution Systems
- 🔗 Mapping Relation
- 📏 Margin of Error
- 🛡️ Margin of Safety
- 🐬 MariaDB
- 🧺 Market Basket Analysis
- 💹 Market Data
- 🧩 Master Data
- 🧹 Master Data Analyst
- 🧭 Master Data Management
- 🧭 Master Data System
- 🫱🏻🫲🏽 Match-Link Rules
- 🧱 Match-Merge Rules
- 🔗 Matching
- 🩹 Mean Imputation
- 📏 Measurement Error
- 📏 Median Absolute Deviation
- 🩹 Median Imputation
- 🕶️ Membership Inference
- 🕵️ Membership Inference Attack
- 🌳 Merkle Tree
- 🏷️ Metadata
- 📥 Metadata Harvesting
- 🗂️ Metadata Management
- 🏷️ Metadata Policies
- 🗂️ Metadata Repositories
- 🗂️ Metadata Schema
- 🏷️ Microdata
- ⚠️ Misinformation
- ❓ Missing Data
- 🛡️ Mitigation
- 📄 Model Cards
- 🧱 Model Data
- 🔍 Model Explainability
- 🆔 Model Fingerprinting
- ⚖️ Model Governance
- 🔍 Model Inversion
- 📜 Model Provenance
- 🗂️ Model Registry
- 🕵️ Model Stealing
- 🔎 Model Transparency
- 🔐 Modern Cryptography
- 📡 Monitor Data Movement
- 🌲 Monohierarchy
- 🛰️ Monte Carlo Data
- ⚖️ Moral Hazard
- ☁️ Multi-Cloud
- 🌐 Multi-Language Lists
- ♻️ Multiple Imputation
- 🏭 NAICS
- 🏭 NAICS Codes
- 🛡️ NIS2 Directive
- 🏛️ NIST
- 📘 NIST AI Risk Management Framework
- 🛡️ NIST Cybersecurity Framework
- 🛡️ NIST Privacy Framework
- 📘 NIST SP 800-53
- ∅ NaN
- 🗂️ Named Graph
- ⬇️ Narrow Match
- ⬇️ Narrower Term
- 📏 National Institute of Standards and Technology (NIST)
- 🧩 Neuro-Symbolic AI
- 📡 Noise
- 🧩 Non-Personal Data
- 🔏 Non-repudiation
- 🔖 Non-sortal
- 🧩 Normalization
- 🔢 Notation
- 🚫 Null Handling
- ∅ Null Value
- 🧬 OBO Foundry
- 🧹 OCR Post-Processing
- 🔗 OData
- ⚖️ OECD AI Principles
- 📊 OLAP
- 🆔 ORCID
- 🦉 OWL
- 🗑️ Obsolescence
- 🗄️ Offline Feature Store
- 🧼 OntoClean
- 🧠 Ontology
- 🧠 Ontology Alignment
- 📚 Ontology Library
- 🔗 Ontology Reuse
- 🔄 Ontology Versioning
- 🌐 Open Data
- 📜 Open Data Contract
- 🗂️ Open Data Directive
- 🔓 Open Data and Code Sets
- 🌐 Open Dataset
- 🔍 Open Evaluation
- 🏛️ Open Government Data
- 👐 Open LLM
- 🔓 Open License
- 📄 Open Model Spec
- 🛡️ Open Policy Agent
- 🔬 Open Science
- 🧩 Open Source AI
- 🔗 Open Standards
- ⚖️ Open Weight Model
- ⚖️ Open Weights
- 🧭 OpenLineage
- 🗂️ OpenMetadata
- 🧭 Operating Model
- ✅ Operational Consistency
- 🗄️ Operational Data System
- 📊 Operational Metadata
- ⚙️ Operational Metrics
- 🧾 Order Status
- 🔢 Ordinal (NOIR)
- 🔢 Ordinal Data
- 🔢 Ordinal Scale
- 🛑 Out-of-Distribution Detection
- 📉 Outliers
- 🧭 Ownership Principle
- 🧭 PROV-O
- 🤝 Partners
- 👥 Party Master Data
- 🩺 Patients
- 💳 Payment Card Industry Data Security Standard
- ⏰ Periodic Data Refreshment
- 🔖 Persistent Identifier
- 🗓️ Planned Changes
- 🕰️ Point-in-Time Recovery
- 📜 Policy Design
- ⚖️ Policy Enforcement
- 🎛️ Policy Lever
- ⚖️ Policy as Code
- 📜 Policy-Based Access Control
- 📄 Portable Document Format
- 🏤 Postal Codes
- ⚖️ Prediction Bias
- 📈 Predictive Analytics
- ⚖️ Predictive Parity
- 🏷️ Preferred Label
- 🛡️ Privacy
- 🧮 Privacy Budget
- 📜 Privacy Notice
- 📋 Privacy Policy
- 🔒 Privacy by Design
- 🛡️ Privacy-Preserving
- 🎲 Probabilistic Algorithms
- 🛠️ Problem Management
- 🏥 Procedure Codes
- 🏭 Process Mining
- 🧾 Processing Log Analysis
- 📦 Product Classification
- 🗂️ Product Data Management
- 🧩 Product Lifecycle Management
- 📦 Product Master Data
- 🧪 Profiling
- 💰 Profit Center
- 📅 Project Management Data
- 📆 Projects
- 🔒 Proprietary Dataset
- 🔒 Proprietary Model
- 🔒 Proprietary Standards
- 🏷️ Proprietary-Internal Reference Data
- 🏥 Protected Health Information
- 🔗 Provenance
- 🕸️ Provenance Graph
- 🏥 Providers
- 🧩 Proxy
- 🕵️♂️ Pseudonymization
- 🆓 Public Domain
- 📤 Publish Reference and Master Data
- 🧾 Purchase Order
- 🎯 Purpose Limitation
- 🧪 Quality Assurance
- ✅ Quality Control
- 📏 Quality Management
- ✅ Quality Principle
- 🗂️ RACI Matrix
- 🗝️ RBAC
- 🔗 RDF
- 🔗 RDFa
- 📄 RFC 4180
- 🤖 RLAIF
- 🤝 RLHF
- 🎲 Random Sampling
- 📊 Range
- 📐 Range Constraint
- 🛑 Ransomware
- 📏 Ratio (NOIR)
- 📏 Ratio Scale
- 📥 Raw Data
- ⚖️ Re-identification Risk
- 🔒 Read Committed
- ⚡ Real-Time Governance
- 🗂️ Records Management
- 📓 Records of Processing Activities
- ⏱️ Recovery Point Objective
- ⏳ Recovery Time Objective
- 🛡️ Red Teaming
- 🏷️ Reference Data
- 📚 Reference Data Management
- 🗂️ Reference Data Management Systems
- 🗂️ Registry Architecture
- 🛡️ Rego
- ⚖️ Regulation
- 🔗 Related Term
- 🗂️ Relational Database
- 🔁 Replicability
- 🧬 Replicate
- 📊 Reporting
- 🔁 Reproduction
- 🧭 Requirements Engineering
- 🧑💼 Resource Ownership
- 🛠️ Resource Utilization Protocols
- 🤝 Responsible AI
- 📐 Restriction
- 🗄️ Retention Policy
- ↩️ Reversibility
- 🐛 Reward Hacking
- 🏆 Reward Model
- 🧭 Reward Modeling
- 🧽 Right to be Forgotten
- ⚖️ Risk Assessment
- ⚠️ Risk Management
- 🕵️ Root Cause Analysis
- 🧩 Row Level Changes
- 🧱 Row-Level Security
- 📜 Rule
- 🧠 Rule-Based System
- 🛡️ Rényi Differential Privacy
- 🧊 S3 Glacier
- 🏢 SAP
- 📊 SAS
- 🧩 SHACL
- 🔍 SHAP
- 🧩 SHAP Values
- 🏢 SIC
- 🧺 SKOS Collection
- 🏷️ SKOS-XL
- 🏥 SNOMED CT
- 🔐 SOC 2
- ☁️ SaaS
- 🚦 Safety Filters
- 🎛️ Safety Tuning
- ⚠️ Sampling Bias
- 📑 Sarbanes–Oxley Act
- 🧭 Scenario Planning
- 🔀 Schema Drift
- 🛡️ Schema Enforcement
- 🗺️ Schema Mapping
- 🧩 Schema Matching
- 🧱 Schema Versioning
- 🧱 Schema-on-Write
- 🧱 Schema-ontology
- 📝 Scope Note
- 📊 Scorecard
- 🧼 Scrubbing
- 🔐 Secure Aggregation
- 🔐 Security
- 🛡️ Security Policy
- 🧩 Segregation of Duties
- 🎯 Selection Bias
- 🚗 Self-Driving Car
- 🧩 Self-Service Analytics
- 🛠️ Self-Service BI
- 📊 Self-Service Business Intelligence
- 🛠️ Self-Service Data Infrastructure
- 🔄 Semantic Consistency
- 🔀 Semantic Heterogeneity
- 🧠 Semantic Interoperability
- ⚠️ Semantic Issues
- 🧠 Semantic Layer
- 🛡️ Sensitive Attribute
- ⚠️ Sensitive Data
- 🛂 Service Provider
- 🕶️ Shadow IT
- 🕵️♂️ Shadow Models
- 🗂️ Shapefile
- 📊 Showback
- 🥈 Silver Layer
- 🎯 Similarity Analysis
- 🗂️ Simple Knowledge Organization System
- 🗂️ Simple Reference List
- 👁️ Single View
- 📉 Six Sigma
- 📈 Skewness
- 🧱 Smart Open-source Middleware
- 📉 Smoothing
- 📸 Snapshot Isolation
- 🖼️ Snapshotting
- ✅ Soda Core
- 🗑️ Soft Delete
- 🔌 Source System
- 🏛️ Sovereignty
- 📄 Specification
- 📊 Spreadsheet
- 🤝 Stakeholder Engagement
- 🤝 Stakeholder Management
- 📣 Stakeholder Notification
- 📜 Standard Contractual Clauses
- 🧾 Standards as Code
- 🗺️ State Codes
- 🗺️ States-Provinces
- 📊 Statistical Process Control
- 🛡️ Stewardship
- 🛡️ Stewardship Principle
- 🗂️ Structured Data
- 🏷️ Subject Heading Scheme
- 📑 Subject Headings
- 🔎 Subject Indexing
- 🏭 Suppliers
- 🕵️♂️ Surveillance Capitalism
- 🗃️ Survivorship
- 🧭 Survivorship Rules
- 🪞 Sycophancy
- 🔗 Synonym Ring
- 🔤 Synset
- 🧭 System of Reference
- 🎯 Systematic Error
- 📋 TDSP
- 🧠 Tacit Knowledge
- 🏷️ Tagging
- 🏷️ Tags & Labels
- 📼 Tape Storage
- 🗂️ Taxonomy
- 🗃️ Taxonomy Management Tools
- 🛠️ Technical Drivers
- 🧩 Technical Metadata
- 🚀 Technology Readiness Level
- 📖 Terminology
- 🏷️ Terminology Management
- 🧪 Testing
- 📚 The Pile
- 🗂️ Theme Map
- 📚 Thesaurus
- 🌐 Third-Party Data
- 🕵️ Threat Modeling
- 🕰️ Time Travelling
- ⏰ Timeliness
- 🔒 Tokenization (Security)
- 🗂️ Topic-ontology
- 🧵 Traceability
- 📚 Training Data
- 🧾 Transaction Activity Data
- 🕵️ Transaction Audit Data
- 🔄 Transaction Hub
- 🧩 Transaction Structure Data
- 🧾 Transactional Data
- 🔧 Transformation
- 🔎 Transparency
- 🎯 Treatment Effect
- 🔐 Trusted Execution Environment
- ✅ Trustworthy AI
- ✅ TruthfulQA
- 🧪 Turing Test
- 🗺️ UN M49
- 🔖 UNSPSC
- 📬 USPS State Codes
- 🔡 UTF-16
- 🔗 UTM
- 🆔 UUID
- 🌫️ Uncertainty Estimation
- 🔐 Unified Data Access Control
- 🔒 Unique Constraint
- 🆔 Uniqueness
- 🗂️ Unity Catalog
- 🧩 Unlabeled Data
- 🧽 Unlearning
- 🧭 Upper Ontology Alignment
- ✔️ Validation Rules
- 🤝 Value Alignment
- 🏷️ Value Set
- 🏪 Vendors
- ✔️ Verification
- 🔢 Versioning
- 🆘 Victims
- 🔗 VoID
- 📦 Volume
- 🕸️ W3C
- 📚 W3C DCAT
- 🗂️ Warehouse Workspace
- 💧 Watermarking
- 🎯 Weighted Approximate Matching
- ✅ Whitelist
- 🗃️ Wikidata
- 🧠 Wisdom
- 🧠 Word Sense
- 👥 Workspace Role
- 🛡️ XACML
- 🛰️ XAI
- 🧾 XML
- 🧩 ZIP Codes
- 🧱 Zero Trust
- 🚪 Zero Trust Architecture
- 🏥 openEHR
- 🔄 owl:sameAs