A5028034844- Scientific Computing and Data Management
- Research Data Management Practices
- Distributed and Parallel Computing Systems
- Environmental DNA in Biodiversity Studies
- Data Quality and Management
- Firm Innovation and Growth
- Simulation Techniques and Applications
- Semantic Web and Ontologies
- Modeling and Simulation Systems
- Geographic Information Systems Studies
- Historical and Environmental Studies
- Parallel Computing and Optimization Techniques
- Cultural Insights and Digital Impacts
- Species Distribution and Climate Change
- Library Science and Information Systems
- Marine Biology and Ecology Research
- Urban Planning and Landscape Design
- Microbial Community Ecology and Physiology
- Forest Ecology and Biodiversity Studies
- Urban Planning and Valuation
National Research Council
2019-2021
Istituto per il Rilevamento Elettromagnetico dell'Ambiente
2013-2021
The conceptual framework of Essential Biodiversity Variables (EBVs) aims to capture the major dimensions biodiversity change by structuring monitoring and ruling data collection amongst different providers. Amongst research infrastructures adopting implementing EBV framework, LTER-Europe - European node ILTER (International Long-Term Ecological Research) follows approach compare site-based observations within across its networks. However, a synoptic overview their contributions with...
The sharing of research data allows for information reuse and knowledge advancement but its realization is often a challenge seldom successful in practice. We propose workflow the design User Support System (USS) aimed at tutoring groups by considering their social domain backgrounds. Our engagement approach focuses on multidisciplinary geospatial research, particularly when interoperable required. Specifically, we first characterize community basis behavior competences management then...
Essential Biodiversity Variables (EBVs) and Biological Ecosystem Ocean (BioEco EOVs) are two cooperative conceptual frameworks which help harmonize process multi-source marine biodiversity observations into robust indexes, in order to measure progress toward policy conservation goals. Long-term monitoring networks encouraged contribute these by mobilizing historical times series suitable for detecting impacts of management policies. In this paper, we identify specific recommendations...
The RDA-SHARC (SHAring Reward & Credit) interest group is an interdisciplinary volunteer member-based set up as part of RDA (Research Data Alliance) to unpack and improve crediting rewarding mechanisms in the sharing process throughout data life cycle. Background objectives this are reported here. Notably, one promote inclusion activities research (& researchers) assessment scheme at national European levels. To aim, RDA-SHARC-IG developing two grids using criteria establish if compliant...
The SHARC (SHAring Reward & Credit) interest group (IG) is an interdisciplinary set up in the framework of RDA (Research Data Alliance) to improve crediting and rewarding mechanisms sharing process throughout data life cycle. Notably, one objectives promote activities research assessment schemes at national European levels. To this aim, RDA-SHARC IG developing grids using criteria establish if are compliant FAIR principles (findable /accessible / interoperable reusable). The grid aiming be...