
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
This document is a response from NASA Openscapes to NASA RFI NNH23ZDA005L: Scientific Data and Computing Architecture to Support Open Science. The submission provides a recommendation for NASA to recognize easy, accessible, and inclusive cloud access as a Core Service to support the agency's Open Source Science Initiative. The following RFI presents collective thoughts of the NASA Openscapes mentor community. NASA Openscapes, co-facilitated by Erin Robinson and Julia Stewart Lowndes, is a space where members from seven NASA Distributed Active Archive Centers (DAACs) come together to collaborate. This cross-DAAC mentor community develops resources, teaches, and listens to feedback from NASA Earthdata end users on a regular basis. NASA has provided data freely through the DAACs for decades, enabling researchers to make significant contributions to understanding our planet that would not have been possible otherwise. As Earthdata migrates to the cloud, we at the DAACs have been positioned to help facilitate data ease of access for end users within this cloud infrastructure. We are uniquely familiar with the broader challenges our data end users face as they transition their workflows to the cloud and hope to share our experiences and recommendations as NASA moves to inclusively support open science practices in the cloud framework.
Acknowledgements: A portion of this work was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (80NM0018D0004). © 2023. All rights reserved.
Open Science, cloud computing, Openscapes, JupyterHub, NASA Earthdata
Open Science, cloud computing, Openscapes, JupyterHub, NASA Earthdata
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
views | 71 | |
downloads | 65 |