Title: Data Management in the Heartland Network
1Data Management in the Heartland Network
- Background
- Centralized staff
- Protocols developed and implemented primarily
in-house - 12 of 15 network parks are fairly small and
represent places and events of historic and
cultural significance - Integrated with prototype
2What Have We Learned?
- Data management is hard work!
3Revisiting Priorities
- Data mining
- NPSpecies and other service-wide databases
- Data management planning
- ATR/COR on protocol development projects
- GIS/GPS support to monitoring projects
- In
- Data management needs assessment with project
leads - Managing data work flow and security
- Database development and maintenance
- Writing data management SOPs
4Establishing Clear Roles and Responsibilities
- Our approach
- DM is shared responsibility among Project Manager
and Data Manager - Project Manager is expected to have working
knowledge of relational databases and ability to
independently conduct basic data queries and
exports
- Implications
- Platform and design complexity are constrained
- Increases risk of data loss
- Creates some redundancy in database skills
- Increases PI interaction and ultimately results
in a better customized product
5Managing Work Flow
- Idealized protocol development time line
Final version DB
Peer review
Finalize SOPs
Objectives
Pilot sampling
T 1 yr
T 2 yr
Internal review
Methodology
Final protocol
Preliminary analyses
Beta version of DB
Write DM SOP
Database development times should be short, for
each version, about 120 days. Keep PIs' involved
and the initial database design simple. Add to
the complexity later.
6Minimizing Complexity By Considering Return on
InvestmentThe Subprime Syndrome
Efficiency/Usability Ratio to Development/Maintena
nce Effort
High
Low
Low
Database Complexity
High
7Get The Data In!
Find a balance between data security, ergonomics,
efficiency, and data management capacity
8Get The Data Out!
Find a balance between automated data analyses
and simple data export routines
9Inspirational Message Albeit Poorly Crafted
Yes You Can!
- Data management is hard work!