Download 2008_0904MSCPDM

Lower Colorado Region
Multi-Species Conservation
Program
Database Management
System
Database Management System’s
Mission
Develop an accessible, multi-disciplinary, spatially
referenced, relational database to consolidate, organize,
document, store and distribute scientific information
related to the Lower Colorado River Multi-Species
Conservation Program (LCR MSCP), in a cost efficient,
effective and transparent manner.
Data Management System
• File system application architecture to store and retrieve
archived deliverables based on keywords i.e. a
repository for original electronic copies of data and report
documents.
• A RDBMS to consolidate and warehouse both tabular
and spatial data in a central location accessible to all
LCR MSCP staff with the proper permissions.
• A spatial data engine (ArcSDE), for storage and
manipulation of regional GIS data sets within the
RDBMS.
Why Do This?
• To support scientific monitoring, research and recovery
activities related to the LCR ecosystem.
• To facilitate the adaptive management of the LCR by
establishing a foundation for a decision support system,
based on scientific information about the ecosystem.
• To improve the level of quality assurance and provide
strong incentives to standardize and coordinate data
collection.
Scoping Meeting
• Scoping Meetings held December 2005.
– Met with members of the LCR MSCP Administration, LCR MSCP
Steering Committee, and LCR MSCP scientific staff groups
– Reviewed databases
– Analyzed the data and reporting needs
– Provided recommendations for the development of an
interdisciplinary Data Management System (DMS).
– Formulated options for DMS.
Database Management System
Requirements Analysis
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Identify, catalogue, prioritize all possible data sets
Create database and file data structure
Evaluate and review existing data management system for model
Develop and maintain physical and electronic data storage and
retrieval
Create distribution technologies for access by internal and
external users
Document database structure and maintenance.
Develop a sound information base for decision making in the
adaptive management process.
Functional Requirements
• Data Set Consolidation and Sharing
• Methodology Standardization
– Analyzed for common entities and attributes
• Data Set Accessibility
– Web services to published to broad and diverse groups of users,
each with their own specific data requirements and permissions.
• Data Set Download Capability
• Data Capture Applications
– electronic data collection in the field
• Data Maintenance / Data Administration Applications
Example of Web-Application Module
and Database Module Architecture
Option 1 – Sole Solutions Integration
• Comprehensive, integrated, end-to-end database that
provides a secure, reliable, and productive platform for
making data more manageable.
• Relational database system that houses all data in one
database, to include all scientific data, financial, meeting
management, etc.
• Modeled after Southern Nevada Water Authority
database system.
Option 1
Benefits
• All data would be stored in one large relational database,
making it efficient to consolidate, retrieve, and analyze
large data sets across disciplines over a 50-year period.
• Maximizes the availability of information/data to
managers, Steering Committee, scientific staff, and
general public at different security levels by providing
web interface.
• Application programs would be created to allow the
database to be searchable in multiple ways using user
friendly query tools.
Option 2 - Selected Technical
Modular Development
• System would be built on a module-by module basis,
with development priorities based on need, functionality,
and cost, with scientific data requirements receiving top
priority.
• Pay-as-you-go approach to database development.
Option 2
Benefits
• Modular approach allows for prioritization of need.
• Each separate module would be ready to use after
development.
• Similar to Option 1, but analysis across disciplines would
be limited until modules are on-line.
Option 3 - Basic Systems Utilization
• Utilization of current software and applications with no
centralization of data into one database. Data would be
housed on a shared drive.
• Data management would be controlled through a data
manager and through the use of set standards and
protocols for data input, storage, and retrieval.
Option 3
Benefits
• Lower costs and fewer FTE’s.
• Consolidation of data set in same or similar formats onto
one shared drive, but maintain individual files.
• Users are already familiar with current software and
systems.
Option 4 - Outsourced System
Development
• Data management system would be completed by a
large-scale contract with a consulting firm to fully
develop the system and populate the database.
• Application design, development, coding
implementation, and maintenance would all be
contracted.
Option 4
Benefits
• Database system can be running within three years of
contract award.
• Places the responsibility for successful project
completion on an outside database development
consulting firm.
• No additional FTE positions during development phase.
Southern Nevada Water Authority’s
Data Structure
• Potentially, the SNWA database could be exported and
used to generate an exact structural duplicate that would
satisfy perhaps 50%-70% of the needs of LCR MSCP
“out of the box”, without any modification.
• Individual LCR MSCP data sets would need to be
imported into the structure, but this approach would
essentially jump-start the system development process,
providing LCR MSCP with a functional database and
applications in the least amount of time.
Southern Nevada Water Authority’s
Database system