Data Workbench For Earth and Atmospheric Science Research Community
We introduce the Atmospheric Radiation Measurement (ARM) Data Workbench, a web-based interface that combines access to atmospheric datasets and computational resources. It is developed to facilitate a interactive data exploration and data analysis for the research community. The ARM Data Workbench offers a comprehensive solution that combines data locality, user-friendly access, and collaborative capabilities within a single platform. To empower researchers with a familiar analysis and compute environment, the data workbench integrates a JupyterHub which is a popular platform for scientific computing. In this paper, we discuss the features of ARM Data Workbench through which users can access the ARM hosted scientific datasets, order them and get them delivered. We discuss different types of user accounts we provide in order to have access to ARM data and the compute platform to perform analysis. We explain the process of navigating to ARM’s Data Discovery interface to access datasets and JupyterHub platform for scientific users with an example case study. The platform targets new researchers, graduate students and established researchers to help them in their research in a collaborative environment.
Authors
- Wade Darnell
- Michael Giansiracusa
- Kyle Dumas
- Giri Prakash (ORCID: https://orcid.org/0000-0002-2590-5848)
- Santonu Goswami (ORCID: https://orcid.org/0000-0002-0294-0210)
- Varsile Tudor Garbulet
Institutions
- Oak Ridge National Laboratory (US)
Publication Details
- Published
- 2024-12-15
- DOI
- https://doi.org/10.1109/bigdata62323.2024.10825054
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- UT-Battelle