Welcome to the Summer Meeting for the Earth Science Information Partners (ESIP)! The 2017 theme is Strengthening Ties Between Observations and User Communities. The theme is based on one of the goals in the 2015 - 2020 ESIP Strategic Plan, which provides a framework for ESIP’s activities over the next three years.
The low cost and ubiquity of electronic sensors and increasingly practical options for setting up sensor networks have revolutionized environmental science. Emerging standards and web services for accessing sensor data and tasking sensors via the internet are further accelerating this trend. Investigators can now acquire vast amounts of sensor data as they conduct their research, but efficiently managing, documenting and quality-controlling those data and submitting them to a suitable repository is still problematic for many. This breakout session will focus on practical software tools and cloud-based services for establishing an end-to-end sensor data management strategy. It will include four or five presentations on new cloud-based services for acquiring sensor data (e.g. CHORDS, OpenSensorHub), code libraries for documenting and quality-controlling data using common software frameworks (e.g. MATLAB, R), and options for automating submission of sensor data to repositories (e.g. EDI, other DataONE nodes). This session will also be coordinated with a panel discussion on sensor data standards and tool development needs for fully enabling end-to-end sensor data management.
CoverageJSON (or “CovJSON” for short) is a JSON-based format and specification for encoding coverage data. It is primarily intended to be used as a means to convey data from servers to web browsers, so that web developers can develop rich, highly interactive applications based on coverage data. This presentation will update and extend our previous work (presented at AGU Fall Meeting 2016) entitled "An Innovative Open Data-driven Approach for Improved Interpretation of Coverage Data at NASA JPL’s PO.DAAC" by displaying how we use URIs to encode semantic information and context through linked data mechanisms such as JSON-LD e.g. CovJSON-LD. This presentation will be of significant appeal to both semantic technologies and visualization enthusiasts.