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Tackling Data Comparability for Multiple Uses May 3, 2012 Cristina Grosso San Francisco Estuary Institute

Tackling Data Comparability for Multiple Uses...Tackling Data Comparability for Multiple Uses May 3, 2012 Cristina Grosso San Francisco Estuary Institute Regional Data Centers CWQMC

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Tackling Data Comparability for Multiple Uses

May 3, 2012Cristina Grosso

San Francisco Estuary Institute

Regional Data Centers

CWQMC Portals

Southern California CWRP

CEDENMoss Landing 

SWAMP

EPA WQX

CentralValley

Regional Data Center Services2

Store and

ManageData 3

Exchange Data

4Access

Data5Coordinate Technology

6Integrate

Data

7AuditData

1Upload

and Check Data

RegionalData Center

Range of data types

→ Clean Water — long-term water quality monitoring

→ Wetlands Science— project information, monitoring reports— habitat and condition data

→ Historical Ecology— spatial data— photos, maps

Why standardize?

→ Facilitate data analysis and comparisons

→ Enable display of long‐term data— Report on trends— Develop scorecards

→ Assist in TMDLs and Integrated Report

Water Quality Trends

Why not to standardize?

→ Increases level of effort

→ Increases costs

→ Impedes timely availability of data

→ Orphans smaller datasets

What are some options?

→ Data portals

→ Metadata to direct users to datasets

→ File repository accepts different formats 

→ Data integration tool

waterboards.ca.gov/mywaterquality

Safe To Eat Portal

www.centralvalleymonitoring.org

Metadata Tool

File Repository

Landscape Profile/Data Integration

Considerations

→ Intended use of data

→ Standardize via data entry

→ Level of effort required by users

→ Funding

Thank you

Regi

onal

Monitoring Progra m

for Trace Substances

RMP