fgdc presentation 1/14/2014 bureau of land management (blm) christine hawkinson, bureau data...
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FGDC presentation 1/14/2014
DATA MANAGEMENT EFFORTS
Bureau of Land Management (BLM)Christine Hawkinson, Bureau Data Administrator
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BLM DATA ROLES
Bureau Data Administrator Responsible for data management policy and guidance
Data Management (Division of Resource Services) Operations Development of national data standards Development and implementation of national geospatial datasets
Division of Information Resource Management -Operations Database (application) development Implementation of applications
Geospatial Program Geospatial Infrastructure and Issues
Data Stewards – national, state and local State and Field Offices
Data Collection
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DATA LIFE CYCLE
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A. Propose Data Development
B. Data Standard (DS)Development
Approach
C. Standardized Dataset (SD) Development
Approach
D. Plan for Implementation
G. Data Change Management
E. Database Development
F. Dataset Implementation
The letters do not indicate order or flow. They are for cross reference to the detailed diagram and the text associated with each process.
Data Standard Path Standardized Dataset Path
Depending on solution, follow E or F for Implementation
DS path
DS path
SD path
SD path
SD path
SD pathDS path
DATA DEVELOPMENT – HIGH LEVEL
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DATA STANDARD & STANDARDIZED DATASET
Data Standard identify logical / business data requirements document what information is needed to meet those business
requirements to provide for high-quality data. Defined before data is collected. Not specific to geospatial data
Standardized Dataset A national schema with a shared set of attributes and domain
values, capable of being seamlessly compiled to a National dataset. The implementation of a data standard also results in a standardized dataset.
Database / Geodatabase A defined, automated, shared and centrally managed collection of
data. A data base is a collection of interrelated data stored in a structured manner.
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DATA ADVISORY COMMITTEE (DAC)
DAWG: Data Advisory Working Group
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PROPOSE DATA DEVELOPMENT PROJECT
Deliverables:• Data Development Proposal (template)• Development Schedule – through Defined
Dataset
Purpose:• Defines initial scope • Communicates intent of work• Locate Subject Matter Experts for
Development
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ENTERPRISE DATA FRAMEWORK
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DATA STANDARD DEVELOPMENT
Deliverables (templates): • Data Standard Report • Domain Document • Quality Plan• Metadata Description • Implementation Guidelines
(opt)
Purpose:• Describes business data, rules
and domains for bureau• Provides common schema• Provides information on how
quality will be assessed (insures will meet minimum quality requirements)
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STANDARDIZED DATASET DEVELOPMENT
Deliverables (templates):• Standardized Dataset
Report• Domain Document• Quality Plan and Checklist• Metadata Description
Purpose:• Provides common schema
and domain values for national compilation of diverse local datasets
• Provides plan for insuring quality and completeness of dataset
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IMPLEMENTION PLAN
Dataset Deliverables:• Implementation Plan• Quality Checklist • Metadata Description (final)• Data Certification• National Certified Dataset
Database Deliverables:• Database design• Data Management Plan
(including quality)• Data Migration Plan
(optional)
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CHANGE MANAGEMENT
Deliverables:• Updates to existing standard (optional) • Updates to schema• Retired standard
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NATIONAL DATASET IMPLEMENTATION States provide state-level datasets Quality checked for minimum required criteria
Quality reports Specific domains, attributes, topology Trusted Data Aggregation: States responsible for error correction
Metadata reviewed for completeness Meets required minimum
Replicated into national dataset No data updates at aggregated national level
Timing of updates from states depends on data steward requirements
Dataset is certified by data steward Can be published once certified (internal/external)
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COMPLETED DATASETS
Processes for aggregation varyExamples: Basic National datasets
Administrative Boundaries Land Use Planning Areas Allotments and Pastures
Summarized National datasets Land Health Reporting Visual Resource Inventory
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EXAMPLE: LAND TREATMENTS
Several redundant systems Crosses programs Same types of treatments/data which are
completed for various reasons
Looking at developing a treatment module that can be called by different systems Same data standard; same data elements Store once, use and update many times
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DATA MANAGEMENT FUNCTIONS
DATA ARCHITECTURE
REFERENCE & MASTER DATA
DATA STORAGE
DOCUMENTS AND CONTENT
DATA INTEGRATION &
INTEROPERABILITY
DATA MODELING &
DESIGN
DATA SECURITY
DATA QUALITY
META-DATA
DATA WAREHOUSING & BUSINESS
INTELLIGENCE
DATA GOVERNANCE
DAMA DMBOK,2009
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QUESTIONS?