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Data Asset Framework (DAF)

Revision as of 12:56, 20 October 2022 by User (talk | contribs)

The Data Asset Framework (DAF) provides a toolkit for organizations to identify their digital assets and assess how they are managed. Previously known as the Data Audit Framework, this tool guides the user through a DAF assessment. It is primarily useful for institutions, departments, or research groups starting to think about data management, and who need to prepare a register of their data assets.[1]


Data Asset Framework (DAF) Methodology[2]
DAF recommends a four-stage process:

  • Stage 1 is for planning, defining the purpose and scope of the survey, and conducting preliminary research.
  • Stage 2 is about identifying what data assets exist and classifying them to determine where to focus efforts for more in-depth analysis.
  • Stage 3 is where the information life cycle is considered to understand researchers’ workflows and identify weaknesses in data creation and curation practices.
  • Stage 4 pulls together the information collected and provides recommendations for improving data management.


See Also

Data
Data Access
Data Analysis
Data Analytics
Data Architecture
Data Asset Framework (DAF)
Data Buffer
Data Center
Data Center Infrastructure
Data Center Infrastructure Management (DCIM)
Data Cleansing
Data Collection
Data Compatibility
Data Consolidation
Data Deduplication
Data Delivery Platform (DDP)
Data Description (Definition) Language (DDL)
Data Dictionary
Data Discovery
Data Driven Organization
Data Element
Data Enrichment
Data Entry
Data Federation
Data Flow Diagram
Data Governance
Data Health Check
Data Hierarchy
Data Independence
Data Integration
Data Integration Framework (DIF)
Data Integrity
Data Island
Data Item
Data Lake
Data Life Cycle
Data Lineage
Data Loss Prevention (DLP)
Data Management
Data Migration
Data Minimization
Data Mining
Data Model
Data Modeling
Data Monitoring
Data Munging
Data Portability
Data Preparation
Data Presentation Architecture
Data Processing
Data Profiling
Data Proliferation
Data Propagation
Data Protection Act
Data Prototyping
Data Quality
Data Quality Assessment (DQA)
Data Quality Dimension
Data Quality Standard
Data Reconciliation
Data Reference Model (DRM)
Data Science
Data Security
Data Stewardship
Data Structure
Data Structure Diagram
Data Suppression
Data Transformation
Data Validation
Data Value Chain
Data Vault Modeling
Data Virtualization
Data Visualization
Data Warehouse
Data Wrangling
Data and Information Reference Model (DRM)
Data as a Service (DaaS)
Database (DB)
Database Design
Database Design Methodology
Database Management System (DBMS)
Database Marketing
Database Schema
Database System


References