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“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 IssuesCorporate
• 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 MixCommercialization
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 and Process Migration
Process 1
P21
Process 3
P22Pro
cess
Inve
nto
ry
Data 1
D21
Data 3
D22
Dat
aIn
ven
tory
Establish Building Blocks
Monitor Contract Activity• (offers insight into Clinical, Development, Research activities)
Monitor Investor Relations ActivityMonitor Intellectual Property Activity
Establish Purchasing ProcessesEstablish Inventory
Instrument SurveyLibrarian, QA/QCSOP 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
ApproachesBig 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 SuccessEstablishing Trust
Acknowledging all sides
Team Adoption- Involvement a Must
Maintain Flexibility
Keep an Eye to External Pressures