“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