Service : Agroecology Virtual Research Environment Service : Agroecology Virtual Research Environment
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Agroecology Virtual Research Environment
Unleashing the data-users potential with Lifewatch ERIC's Virtual Research Environments - the ultimate tool for seamless collaboration and data-driven innovation in Agroecologyblockchain data analysis data gathering data visualization modelling simulation tools tokeninzation virtual research environment
Provider
LifeWatch ERICInstitution/Organisation
LifeWatch ERICWebsite
Installation
LifeWatch ERIC
A Virtual Research Environment (VRE) is a versatile web-based workspace that allows data users to conduct data-related work more efficiently and fosters collaboration among diverse users, with the goal of generating new knowledge. A VRE typically encompasses centralized data access, processing, visualization, result sharing, and other e-services. The VRE can be utilized to address both scientific and managerial inquiries and has applications across various fields, including agroecology.
In agroecology, the VRE is a web-based workspace that provides data-users with a platform for networking, data gathering and integration, data analysis and visualization, and artificial intelligence (AI) deep learning. The VRE allows researchers to identify and engage with their community while gathering and integrating data from various sources. It offers computing power through high data analysis capacities such as the Picasso supercomputing center, storage capacity, and data maintenance. Additionally, researchers can share their data analysis processes, including workflows, models, and algorithms. The VRE also supports the use of AI-deep learning and digital twins for more advanced research.
Moreover, the VRE in agroecology could offer training and capacity building opportunities and facilitates the dissemination and communication of research findings to relevant stakeholders. By providing a collaborative workspace and access to essential services, the VRE in agroecology enables data-users to conduct data-related work more efficiently and effectively, leading to the generation of new knowledge and advancements in the field of agroecology.
Specific informations
Scientific domain
- Agricultural Sciences
- Natural Sciences
- Social Sciences
Scientific SubDomain
- Agricultural Biotechnology
- Agriculture, Forestry & Fisheries
- Biological Sciences
- Computer & Information Sciences
- Earth & Related Environmental Sciences
- Economics & Business
- Environmental Biotechnology
- Environmental Engineering
- Political Sciences
- Social & Economic Geography
- Veterinary Sciences