Schedule

Setup

Registration will be from 10am- 4pm on Monday, May 4th and 7am- 10am on Tuesday, May 5th. After this, the name badges will be available for pick up the from the front check in tables. We request that you are accountable for your name badge for the duration of the conference.

Two of our Steering Committee members, Jessa and Gwen will be in the Hermosa room to welcome you to the conference! This is a great place to ask any last minute questions, find a friend, or just hang out.

Sensor Data Analysis Coding Python Coding Dan Westervelt, Columbia University R Packages Jonathan Callahan, Desert Research Institute

Description: To achieve the goals of a sensor deployment or community-based monitoring project, it is not only important to collect the right data (i.e., targeting the right pollutants with an appropriate level of accuracy), but also to ensure the data and other related information are organized, formatted for use, and complete. This additional information is often called “metadata” or “data about the data”, and it can provide context about how the data was collected as well as its quality. Recording the appropriate metadata may determine whether or not a particular question can be answered using the final dataset. Beyond the information collected, the way data is organized and formatted can make analysis and interpretation either easier or more difficult. This training will cover key aspects of managing sensor data. Speakers will discuss considerations around what to include and ways to format both data and metadata, as well as guidance for developing and utilizing data management systems. This training also will provide an overview of several existing efforts in these areas which may be leveraged to support current and future projects. Specifically, the training will cover the Colorado Department of Public Health and Environment’s AQDx (Air Quality Data Exchange) standard data format, the University of Utah’s SMARTER (Sensors and Metadata for Analytics and Research in Exposure Health) initiative, and the Clean Air COMPASS Project (establishing an open-source air quality data management system). Attendees will also have the opportunity to provide feedback on these efforts.