The Interoperable Watersheds Network

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Presentation transcript:

The Interoperable Watersheds Network Data Standards in Action

Outline An Introduction to ‘Standards’: The World is Built on Standards! What’s the problem we’re trying to solve? How IWN is a step towards solving these problems The Data Standards Problem The Metadata Problem The Architecture Problem Demonstration Next Steps

The World is Built on Standards! When people agree to do things in a common way it opens up many opportunities for everybody to do things better. Technology standards: like Bluetooth and Wifi Data Standards: like financial exchanges Government Standards: like the Exchange Network

Other Examples of Standards The IRS has open standards for electronically filing your taxes, enabling a better user experience Other Examples of Standards Banking: OFX Standards enable you to access your banking information from many 3rd-party applications Imagine if every time you needed to download financial information from your bank you needed to deal with a different formatted file and that required you to download it, import it in Excel, rename column headers, deal with changes in terms and currency before you could even begin to balance your checkbook. We would never tolerate that, which is why the OFX standard exists. Do you remember filling out IRS forms? Now we can do our taxes in a weekend (what used to take months and required hiring a professional). All of these life improvements are thanks to standards.

Data that people need is hard to get and hard to use! Not a Small Problem Data that people need is hard to get and hard to use! How do we connect all of these data to the people who need it and deliver it in the same format?

What Would Standardized Sensor Data Enable: Better Modeling Models need data, a lot of data Sensors are a great input for models, and can provide necessary ground truth Imagine being able to run a model without having to first discover and then reformat the data needed to run the model; rather the model can grab the data as it needs it in real time Extreme weather events & spills do not operate on a M-F 9-5. Sensors help us know more about the environment! Which makes for better models

What Would Standardized Sensor Data Enable: Third-Party Applications Adopting and promoting standards sends a clear signal to the market that there is value in supporting those standards Enables the market to develop solutions for data storage, data sharing, and data visualization Allows those outside government to develop applications and tools that are valuable to them and meet their specific needs July 22, 2012

What Would Standardized Sensor Data Enable: Quicker and Better Decisions Having standardized data decreases the amount of time needed to spend in discovering and standardizing data Reduces errors from hand- entering data values Allows for MORE data to be used (often can’t use data that’s hard to find or difficult to reformat) SAVED TIME = SAVED MONEY

How IWN is a Step Towards Solving These Problems The Interoperable Watersheds Network was a demonstration project that focused on evaluating approaches to improve sensor data sharing It was based on knowledge gained from an recommendations report that EPA developed in 2014 The project focused on addressing three major areas: Data Standards Metadata System Architecture

The Data Standards Problem We needed a common way to represent and communicate the data Standards for sensor data already exist, there was no need to create new standards OGC Sensor Observation Service OGC Water ML 2 and Sensor ML The Open Geospatial Consortium is an open-source, international standards setting body This would be equivalent to the banking OFX standard in terms of what this accomplishes. These are also, by the way, the same standards that were used in the National Flood Interoperability Experiment

The Metadata Problem Needed a standard way to answer the following questions: What data are available and for what parameters? What data can I use? What’s the quality of the data? IWN had to develop standard ways to do this (no existing standard existed) Further work needs to be done in this area as part of the Advanced Monitoring Team

The Architecture Problem How do you solve the problem of multiple data providers with large amounts of data that have the potential to change every 3-15 minutes? Used a central catalog/index that references every data owner’s assets with the corresponding metadata for each sensor Allowed for quick searching and discovery of available data This approach is similar to how Google allows you to search the internet Actual data comes from the partners systems in real-time

Underlying Catalog Services IWN Defined GetOrganizations: Returns who is providing data with their endpoints AvailableParameters: What parameters can be queried GetSensors: Gets the sensor information and provides different methods for querying sensors (i.e. by county, by HUC, by buffer, by a bounding box, upstream, and downstream) GetSensorParameters: Gets parameters for a sensor, including the period of record GetOrganizationParameters: Gets the parameters for an entire Organization

OGC Defined Services (SOS 2) Each endpoint supports Sensor Observation Service in XML format (WaterML2) GetObservation: Gets the most recent data or retrieves a collection of data GetCapabilities: Getting all the metadata from the endpoint DescribeSensor: Describes the sensor

IWN’s Open Architecture Allows Other Possibilities IWN is built using an open architecture, meaning that all the functionality you see in the demonstration tool is also available as a corresponding Web Service or Application Program Interface (API) Enables for other apps to be developed (like mobile apps) Also allows for other third-party applications (like Excel) to be able to directly interact with the data without having to go to a website and ‘download’ the data

Demonstration CURRENTS is a demonstration tool It contains data from: 8 Partners: EPA Region 1: 2 Sensors EPA Region 7: 18 Sensors EPA Region 10: 1 Sensor EPA ORD: 3 Sensors NJ DEP: 106 Sensors NJ Meadowlands: 3 Sensors Clermont County, OH: 4 Sensors USGS: 15,541 Sensors (nationwide coverage) Footer text here July 22, 2012

Next Steps Demonstration project ended in December A Lessons Learned Report has been completed Demonstration tool will continue to be available A mobile app is being developed that leverages the services/API developed as part of this project Demonstration proved to be very successful Services worked better than expected Ease of setting up a data appliance was simpler than anticipated Ready to move to a production-level system Advanced Monitoring Team is exploring if the services and standards would work for Air data as well

QUESTIONS? Dwane Young Young.dwane@epa.gov 202-566-1214 Britt Dean Dean.britt@epa.gov 202-566-1020