A5003455738- Scientific Computing and Data Management
- Research Data Management Practices
- Data Quality and Management
- Energy Harvesting in Wireless Networks
- Big Data and Business Intelligence
- Water Quality Monitoring and Analysis
- Geological Modeling and Analysis
- Distributed and Parallel Computing Systems
- Online and Blended Learning
- Advanced Data Storage Technologies
Oak Ridge National Laboratory
2020-2022
Research can be more transparent and collaborative by using Findable, Accessible, Interoperable, Reusable (FAIR) principles to publish Earth environmental science data. Reporting formats-instructions, templates, tools for consistently formatting data within a discipline-can help make accessible reusable. However, the immense diversity of types across disciplines makes development adoption challenging. Here, we describe 11 community reporting formats diverse set (meta)data including...
Abstract Data standardization combined with descriptive metadata facilitate data reuse, which is the ultimate goal of Findable, Accessible, Interoperable, and Reusable (FAIR) principles. Community or standards are increasingly created through an approach that emphasizes collaboration between various stakeholders. Such requires platforms for on development process centers sharing information receiving feedback. Our objective in this study was to conduct a systematic review identify reporting...
<p>Increased concerns about regional and global climate change in recent decades has led to a significant expansion of monitoring, observational, experimental sites remote areas the world. During this same time, advances technology availability low-power equipment, have allowed increasingly sophisticated measurements with an wide variety instruments, sensors, sensor networks. However, deployment use these technologies locations is restricted not only by harsh environmental...