AMoveE 2014: Holger Dettki
Channel: Movebank
Date: 2014-05-20

This talk was presented by Holger Dettki on 6 May 2014 as part of the Symposium on Animal Movement and the Environment, held at the North Carolina Museum of Natural Sciences in Raleigh.

Dettki H, Brode M, Clegg I, Giles T, Hallgren J, 2014, "Wireless Remote Animal Monitoring (WRAM): a new international database e-infrastructure for management and sharing of telemetry sensor data from fish and wildlife"

Abstract: New tracking technologies have become available to ecologists, allowing remote real-time data capture from an increasing number of taxa, species and animals. To realize the potential of the data, researchers must be able to share data and collaborate with the global research community. The Wireless Remote Animal Monitoring (WRAM) database system, started in 2003, contains 92.0 million positions and other sensor data and is used to date by 31 user groups from 8 countries, tracking 15 species und 2071 individual animals. The infrastructure represents the Swedish national data node and data sharing portal for real-time telemetry sensor data from fish and wildlife. WRAM will be part of Swedish LifeWatch and is cooperating with several other international database initiatives. The infrastructure consists of 2 main parts: 1) The WRAM Data Warehouse (WDW) is a high performance data warehouse for real-time "big data" such as position, acceleration, or heartbeat data from fish and wildlife, hosted by the High Performance Computing Center North in Umeå, Sweden. 2) The WRAM Data Broker (WDB) is the single-sign-on web interface federating the WDW with other similar database systems around the world as MoveBank, EuroDeer or CAnMove to enable seamless querying across systems and easy data sharing between data owners, while honoring local authentication and authorization settings. Query results are also accessible through ODBC in a temporary database, enabling users to use local analysis tools for further analyses. Here, we give an overview over the different parts of the e-infrastructure, including automated data capture tools, database models, data sharing approaches, and web-based visualization tools.