A Functional Data Model Realized: LaTiS Instances Serving Disparate Datasets

For more than a decade, members of the University of Colorado Laboratory for Atmospheric and Space Physics (LASP) Web Team have been building a functional data model and the software framework called LaTiS, that implements it. This poster describes the evolution of LaTiS through the presentation of several instances of LaTiS in operation today that demonstrate its capacity to lower the bar for accessing myriad datasets from various providers in multiple formats. With LaTiS, serving a new dataset can be a simple as adding a small descriptor file to an existing instance.

From providing access to spacecraft telemetry data in a variety of forms in support of missions operation, to providing access to scientific data for the MMS and MAVEN science teams, to server-side functionality such as fusing satellite visible and infrared data along with forecast model data into a Geotiff image for situational awareness purposes, to providing dynamic access to LASP and other organization's solar irradiance and space weather datasets via highly capable web portals which are leveraging its web based API, LaTiS has demonstrated itself as a highly flexible, standards-based framework that provides easy data access, dynamic reformatting, and customizable server side functionality.