Wireless Remote Animal Monitoring (WRAM)
Last changed: 01 September 2020
Wireless Remote Animal Monitoring (WRAM) is a national e-infrastructure for automatic reception, handling, storage, and sharing of biotelemetry sensor data from animals.
Wireless Remote Animal Monitoring (WRAM) is a national e-infrastructure for automatic reception, handling, storage, and sharing of biotelemetry sensor data from animals. The infrastructure is run by the national competence center "Umeå Center for Wireless Remote Animal Monitoring" (UC-WRAM) at SLU.
The purpose of WRAM is to support world leading ecological and physiological research about and national management of animals with the help of sensors deployed on animals. WRAM hosts today (January 2017) ca 183 million sensor data records for more than 2.600 unique individuals and 16 species with information of e.g., the animals position, acceleration, heart rate and body temperature, and is increasing with approximately 40 million records annually.
WRAM is used in cooperation with the Sami Parliament and the Sami Villages as national database-infrastructure for reindeer positions and other sensor data originating from reindeer within the programme "renbruksplan" and from 2018 as national database for tagging of fish (with so called PIT-tags).
The WRAM e-infrastructure to date handles data from all Scandinavian countries and several countries in Europe and Africa, and has currently ca 300 registered users. WRAM users and projects connected to SLU are found at the S-, NJ-, and VH-faculties, and the 5 largest SLU-projects (with a total annual turn-over of ca 42mSEK) represent 68 researchers, postdocs, or PhD students. Seen in an international perspective, WRAM represents one of the largest databases for real-time data from biotelemetry sensors on animals.
An important goal for WRAM is to make these data available together with
similar biosensor-data from other databases in Sweden (CAnMove, Lund) and Europa (e.g. Movebank, Germany; Eurodeer, Italy) in a uniform and effective way in one single web portal. The unique feature excels and distinguishes WRAM from other similar database initiatives and gives SLU in an international perspective a clear competence advantage.