1. CIP Edwin Rojas Reinhard Simon
CIP best practices to faster explorer and improvement of quality of GCP databases with and open source tool
CIP
Edwin Rojas
Reinhard Simon
February 2005

2. Overview
The GCP databases and CGIAR centers have thousands of accessions for each crop, too much data and very few information, the data is about:
Germplasm passport
Phenotypic and evaluation
Marker data
Inventory management: tracking samples
Others: materials distributed, materials under cleaning
Many questions about this need to be addressed
how to get quality data updated ?
how do i assess the health of germplasm passport and evaluation data quickly ?
How can i recognize patterns and valuable attributes for breeding programs ?
how can i identify my most frequent consignee and germplasm distributed ?
how can i respond faster to shifts in the research activities and consignee demand ?
how can i accurately forecast and predict material distributions (CIP distribute plantlets per year) ?

3. Overview
Requirements and problems of producer data, curators and database curators :
Help to visualize representation of the data
What do the data tell us
Need summarization of the data
Help to obtain better decisions and faster
Make data accessible and valuable (information)
Focus on business process than data process
Need to focus what to do in the information rather than have to find it
Find and eliminate: costly errors and inconsistencies
Enable a user to classify & organize his data
Complex analysis – queries impossible to be anticipated
Access(real time ) --> Analysis(dynamic, flexible)--> Act with insight(usable)
Is necessary to provide an analytical tool for genetic resources information

4. CIP Experience with Data Marts
The solution technology is based in construct data marts for:
Germplasm Information (begin at CIP in 2002)
Passport information for holdings by biological status
Passport information for holdings by health status
Passport information for holdings by continent-country
Phenotypic characterization and evaluation (begin at CIP in 2004)
Potato native morphology comparators
Cleaning materials (begin at CIP in 2003)
Materials cleaned per year
Materials advance cleaning
Distribution materials (begin at CIP in 2001)
Distribution by country
Distributions by biological status
Control and monitor in-vitro bank activities (begin at CIP in 2004)
Propagations by accessions & vessels & propagator
Evaluations by samples & tubes
Stock by accessions & samples

5. Demo

6. Current Technology in CIP
Job Script
SQL 2000
Database
SQL 2000
Analysis
Excel
Pivot table and chart
Relational Model
Dimensional Model
DBDesigner
SQL 2000
Analysis

7. Proposal Technology for GCP
Mysql
Access
SQL 2000
Job Script
Tomcat &
Mondrian Java
HTML
Pivot table and chart
Relational Model
Dimensional Model
Java/Swing application
DBDesigner
Eclipse
Plug-in Mondrian

8. Demo