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WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY...

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WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water
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Page 1: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

WATER QUALITY DATA SHARINGU.S. EPA’S WATER QUALITY EXCHANGE

Dwane Young, U.S. EPA Office of Water

Page 2: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

OUTLINE

• Thinking about data and information

• WQX History and Data Model

• Data sharing through the Water Quality Portal

• Future data sharing opportunities through the use of sensors

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Page 3: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

THINKING ABOUT DATA AND INFORMATION

• Electronic data are more valuable than data in file cabinets

• The more data are re-used, the more valuable they become• Collect once – use multiple times

• Shared data are of even higher value• Provide for better planning decisions

• Incentivize collaborative efforts

• Make the most use of the data collection resources being invested

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Page 4: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

MANAGING DATA LOCALLY• Data sharing at a national level benefits from:

• Well documented data at a local level

• Well managed data at a local level

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Page 5: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

WHAT IS WQX?

• WQX is a ‘standards’ based approach for sharing water quality monitoring data

• WQX defines a common data model for communicating water quality data (sample data)

• Designed to be automated

• The structure of partner data systems don’t matter, so long as they can map to WQX

• WQX also provides a standard format for publishing data

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Page 6: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

SOME HISTORY ON HOW EPA GOT HERE

• From 1998-2007, EPA provided a distributed database (STORET) for partners to use to manage their data; partners could then send a ‘copy’ of their database to EPA

• Numerous issues:• Partners didn’t buy-in to using the EPA database

• “Keeping up with technology” was exceptionally difficult

• Trying to build one system that met everybody’s needs resulted in an overly complex system 6

Page 7: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

WHY USE A STANDARDS-BASED APPROACH?

• WQX is not dependent on a particular technology• The data sharing model is based on the science of water quality

monitoring, which doesn’t change that much

• Partners don’t need to run EPA’s software, but rather just need to map their data systems to WQX

• EPA could focus on the ‘core’ data elements that were needed for someone to communicate water quality monitoring data

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Page 8: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

WQX TELLS A STORY ABOUT WATER QUALITY MONITORING

• WQX captures the following information:• Who: Who’s conducting the sample• What: What did they sample• When: What time of year or day was the sample taken• Where: Where was the sample taken• Why: What was the purpose of the monitoring• How: How was the sample collected, how was the sample analyzed

• All of this information provides context for a value (i.e. 12 mg/l)

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Page 9: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

WHO AND WHY

• Who:• We use the term ‘Organization’ to define the ‘Who’ piece of our

metadata, some examples• Other Federal Agencies• State environmental agencies• Tribal agencies• Citizen groups

• Why:• We use the term ‘Project’ to define the ‘Why’ of our metadata

• Explains the purpose of the monitoring, and may include other relevant information like the overall QA/QC process that the Organization follows

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Page 10: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

WHERE AND WHAT

• Where:• We use the term ‘Monitoring Location’ to define the ‘Where’

• This is where the sample was taken, and usually contains latitude and longitude coordinates

• Also describes what type of water is being monitored

• What:• We use the term ‘Characteristic’ to define the ‘What’

• This very generic term can mean any analyte (i.e. NH3 or Dissolved Oxygen) or even a stream characteristic (i.e. stream width) 10

Page 11: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

WHEN AND HOW

• When:• We use the term ‘Activity Start Date’ and ‘Time’ to define the

‘When’

• How:• We have two pieces for the ‘How’:

• Field Collection Method: What method was used in the field to collect the sample or to derive the value that is reported in the field (i.e. Dissolved Oxygen Sensor)

• Lab Analytical Method: What method was used in the lab to derive the concentration of the characteristic

• The ‘How’ is critical to helping others know how your data can be used

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Page 12: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

CDXWQX

Parse and Load Software

WQXODS

Data Submitter

XML Submission

Schema ValidationReceive Error Responses

Approved XMLSubmission

Data Context Error ReportData Load Confirmation and Summary

HOW WQX WORKS

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Page 13: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

THE ROLE OF WQX IN DATA SHARING

WQX

WQXWeb

Exchange Network

EPA STORET

Partner Data

USGS NWIS

Water Quality Portal

For more information on the portal see: www.waterqualitydata.us

ARSSTEWARDS

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Page 14: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

Internet (XML)

•Computer-to-computer

•Uses Input parameters and outputs XML

•Can be used in multiple ways by many applications

WHAT IS A WEB SERVICE

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Page 15: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

Input Parameter: Zip Code

Weather Network

Returns XML

Weatherbug translates XML into information for the task bar

Weatherbug is an example that many are familiar with

This is all done via a Web Service

WEB SERVICE EXAMPLE

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Page 16: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

WHAT IS THE WATER QUALITY PORTAL?

• One-stop shop for water quality monitoring data (both data shared with EPA through WQX (over 400 partners) and USGS data)

• Contains over 343 million water quality results collected at over 2.4 million monitoring locations

• Data use common terminology across USGS and EPA data

• Partnership led by the National Water Quality Monitoring Council

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Page 17: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

HOW DO YOU GET DATA FROM THE PORTAL

• Simple user interface available at http://waterqualitydata.us

• Provides data back in multiple formats (Excel, tab separated, comma separated, KML, and WQX format)

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Page 18: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

WEB SERVICES ALLOW FOR OTHER APPLICATIONS TO ACCESS THE DATA

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Excel, R, other Web applications, etc.

Come by the poster session to see demos of these types of tools

Page 19: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

NEW DEVELOPMENTS IN THE PORTAL

• Upstream/downstream tracing

• Integration across multiple water programs

• Additional open source tools (Data Analysis Tool)

• Integration with sensor data

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Page 20: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

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• Sensors are owned/operated by diverse organizations

• Uses data standards to promote data interoperability

• Data can be available real-time, and also archived for future reference

AN INTEROPERABLE SENSOR NETWORK

Page 21: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

HOW WOULD IT WORK?

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Page 22: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

TESTING/DEMONSTRATING CAPABILITY

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Discovering and exploring sensor data

Downloading data for more detailed analysis

Page 23: WATER QUALITY DATA SHARING - NEIWPCC · WATER QUALITY DATA SHARING U.S. EPA’S WATER QUALITY EXCHANGE Dwane Young, U.S. EPA Office of Water. OUTLINE • Thinking about data and information

QUESTIONS?

Dwane YoungU.S. EPA Office of [email protected]

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