The Provenance Aware Synthesis Tracking Architecture

2014 Virtual Workshop Cyberseminar Series

Mark Servilla / LTER Network Office
Duane Costa / LTER Network Office

Talk Description:

The Provenance Aware Synthesis Tracking Architecture (PASTA) is an advanced data management solution for the Long Term Ecological Research (LTER) Network that ensures quality scientific data products are archived and available to a broad range of users through a single Application Programming Interface (API). PASTA uses a Service Oriented Architecture framework to provide functional extensibility, as well as performance scaling, in cyberinfrastructure areas that are critical to science users, including search, storage, and access. This approach allows new service features and or load balancing to be added into the framework without compromising or altering existing services. The API supports basic HTTP protocol communication through ReSTful web-services, thereby enabling multiple host applications to connect, discover, and access full LTER Network data products. PASTA is unique in the repository space because all data packages must pass a rubric of quality exams for entrance into the system. Each examination verifies that critical data use aspects of the data package is consistent with community best practice usage of metadata and data standards. We will give an overview of the core functions of PASTA and a demonstrate the use of PASTA by research sites through the LTER Data Portal.

CUAHSI's 2014 Virtual Workshop on Field Data Management Solutions!

The CUAHSI Water Data Center, the LTER Network Office, and the Critical Zone Observatory National Office are jointly sponsoring a Virtual Workshop entitled "Field Data Management Solutions" to share tools, techniques, and tricks for handling the ever increasing volumes of data that observatories and other field sites are generating.

A series of webinars will be held during September and October 2014 featuring speakers from LTER sites, the CZO data project, and CUAHSI Water Data Center to share their experiences with data management and to share tools that have been developed.