Learning about Wisconsin Lakes through a New Integrated Database System
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description
Learning about Wisconsin Lakes through a New Integrated Database System. Annual Reports and Awards. Volunteers participating statewide. What is a Database?. Tables with Rows and Columns Tables are Connected. Tables with Rows and Columns. Tables are Connected. - PowerPoint PPT Presentation
Transcript of Learning about Wisconsin Lakes through a New Integrated Database System
Volunteers participating statewide
•Tables with Rows and Columns•Tables are Connected
Station ID
Station Name Latitude Longitude
133320 Lake Wingra - Center
43.055 -89.415
133083 Wingra Creek – Olin Avenue
43.052 -89.383
133081 Wingra Creek – Beld Street
43.049 -89.394
Station ID Station Name Latitude Longitude
133320 Lake Wingra - Center 43.055 -89.415
133083 Wingra Creek – Olin Avenue 43.052 -89.383
133081 Wingra Creek – Beld Street 43.049 -89.394
Station ID Date Monitored
Data Collectors
133320 6/15/2005 Joe Smith
133320 7/1/2005 Judy Jones
133320 7/20/2005 Joe Smith
Station ID
Station Name Date Monitored
Data Collectors
133320 Lake Wingra - Center
6/15/2005 Joe Smith
133320 Lake Wingra- Middle
7/1/2005 Judy Jones
133320 Wingra Lake - Center
7/20/2005 Joe Smith
1997-1999
•Paradox and Microsoft Access. •Reports not yet online. •Repetition of information in tables.
2000
•Oracle Database. •Reports and volunteer data entry online. •Non-generic tables and columns.
Secchi_feet Did Disk Hit Bottom?
Water Color
9 No Green
12.25 No Green
14 No Blue
2007
•Oracle Database. •Reports and volunteer data entry online. •Tables and Columns Reusable
Parameter Result Units
Secchi Depth 14 Feet
Hit Bottom? No
Water Color Blue
Stream Flow 144 Cfs
# of Zebra Mussels on Plate 100
Who: PeopleWhere: Monitoring StationsWhy: ProjectsWhen: Date/TimeHow: Methods and Equipment
Who: PeopleWhere: Monitoring StationsWhy: ProjectsWhen: Date/TimeHow: Methods and Equipment
One More?
Who: PeopleWhere: Monitoring StationsWhy: ProjectsWhen: Date/TimeHow: Methods and EquipmentHow Good: Quality Assurance Steps Taken
•Flowages•Seepage Lakes•Drainage Lakes•Spring Lakes•Drained Lakes
• Databases should be well organized, but generic enough to accommodate a variety of information
• Metadata should always be recorded along with the data, to assure repeatability 20, 50, 100 years from now.
• Metadata should include “How Good?” Quality assurance information to help prove that the data is good.
• Our lakes are dynamic, diverse and ever-changing. Our database must be up to the task of adapting to changes (new aquatic invasive species) in data we collect.
• Reports and map products should be automated as much as possible to enable people to get up-to-date data fast, when needed.
