Resumen de Data model, e-infrastructure services, and the virtual research environment (vre)
Pablo David Guerrero Alonso, Manuel Merino Ceballos, Ricardo Antonio Moreno Llorca, Andrea Ros Candeira, Regino Zamora
Sierra Nevada is a unique setting in which a broad and extensive research tradition converges in both time and space with intensive monitoring of the environment. Our aim is to establish a large data set together with an information network based on a powerful e-Infrastructure of communications, supercomputing, and distributed “cloud.” This e-infrastructure will be made available to the scientific community, environmental managers, and the general public. It will allow, among many other things, access to large volumes of data including biotic components (fauna and flora) as well as abiotic ones (atmospheric, terrestrial, and freshwater elements). This will allow the user to work with analytical tools in a number of virtual research environments (VREs) such as virtual laboratories for researchers, support tools for environmental managers, or social science data for the general public. To answer the questions and provide the information required by the different users of the system, we propose the creation of the following VLABs: Ecosystems, Species, and Climate. These laboratories will have a specific part (associated with their subject matter) and another transversal part that can be extended to any laboratory of the same type. Laboratories will emerge from the scientific proposal resulting from the use of e-infrastructure. The following have been identified as examples: (i) Climate: Meteorology in Sierra Nevada environment—VRE ClimaNevada; (ii) Species: Iberian ibex (Capra pyrenaica)—VRE Capra; (iii) Ecosystems: Sierra Nevada high-mountain lakes—VRE MountainLakes. All laboratories will have tools that can be structured in the following interdependent hierarchical levels: Access to data, Statistics, GIS & Artificial Intelligence, Modelling and Simulation. Currently, a multitude of initiatives around the world promote the creation and use of VREs. These are web-based, community-oriented, flexible, and secure collaborative working environments designed to meet the premises of Open Science. In the present study, we identify and analyze the main challenges to be solved (starting with the data) to fully achieve the proposed vision. This is a preview of subscription content, log
