Transcript No Slide Title

“Data Mining and the Migration of
Historical Scientific/Research Data”
by
Keith Rodrigue
Director of Information Technology
Stressgen Biotechnologies
ABSTRACT:
Introduction of large 2B (Target) Solutions in
support of Business/Research Cycles require the
extraction of historical information from disparate
data sources in order to fully utilize their
potential.
Data and Process Migration: Common Issues,
Approaches and Pit Falls
The Problem
1. During Infancy
• Minimal investment
• One time investment in lab HW
• Free form processes
• Lack of formalization in support of creative process
2. Getting to Market
• Deployment/Support Strategies s.t. external conditions
• Methods for deployment pressured by Market
Perception
• Education of senior management
• Education of market place
• Notion of Earned Value
Cultural Issues
Corporate
• Availability of Funding
• Shifting Goals
• Managing Up
• Accelerated Demand for Information
• External Scrutiny
• Increased Formalization (ability to scale)
Culture
• Fear of Change
• Resistance
• Change Roles
• Over coming “Learned Helplessness”
Adding to the Mix
Commercialization
Introduction of Senior Management
• Raising the Bar
• GLP, GMP, Best Practices
• Third Party Players
Collaboration
• Re-inventing the Wheel
• Partner Education
• Rapid Data Supply (Data Mining)
• Need for B2B
Data
Inventory
Process
Inventory
Data and Process Migration
P21
Process 1
Process 3
P22
D21
Data 1
Data 3
D22
Establish Building Blocks
Monitor Contract Activity
• (offers insight into Clinical, Development, Research activities)
Monitor Investor Relations Activity
Monitor Intellectual Property Activity
Establish Purchasing Processes
Establish Inventory
Instrument Survey
Librarian, QA/QC
SOP Survey
Third Party Activity
• (Research Partners, Clinical Activities, Statistical Analysis)
Peeling the Onion
&
Closing the Information Gap
Inventory and Secure
Monitor Activities
Passively Formalize
Anticipate and Deploy
Generate Speculative Solutions
Trap workflow, information, and enhance existing processes
Introduce options and empowering agents
Approaches
Big Bang
• Speed of deployment
• Rigidity
Rapid Application Deployment
• refinement focus
Value Proposition
• establish baseline, deploy, measure, assess
Milestone Focused
• Collaboration and Partners
Build, Modify, Redeploy common functions
K.I.S.S.
Leverage existing infrastructure
Database Integration===> Data Warehouse/LIMS
Secure, Establish Meta-Data, Track
Document Management
• (Reliance on gov’t agencies to close the gaps)
“Break or Broke”
Keys to Success
Establishing Trust
Acknowledging all sides
Team Adoption- Involvement a Must
Maintain Flexibility
Keep an Eye to External Pressures