Preparing students for managing large-scale scientific data

Murillo, Angela

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https://hdl.handle.net/2142/118003 Copy

Description

Title

Preparing students for managing large-scale scientific data

Author(s)

Murillo, Angela

Issue Date

2022-10

Keyword(s)

• Scientific data management
• Data lifecycle
• Cyberinfrastructure
• Student internships
• Program development
• Data management
• Data curation
• Data science
• Education of information professionals
• Big data

Abstract

This poster presents preliminary observations and feedback from the pilot year of a student internship program that was created to prepare and train students in managing large-scale scientific data. This student internship program is part of the CI Compass project, which is a National Science Foundation (NSF) funded project to provide support and enhance the data lifecycles of NSF Major Facilities (MFs). MFs are the largest-scale scientific efforts that the NSF supports and can take years to build, cost hundreds of millions of dollars to construct, are highly diverse, have heterogeneous data, and a wide range of cyberinfrastructure for capturing, processing, archiving, and disseminating data. MFs span science domains, including astronomy, climate, ecology, natural hazard, ocean science, physics, and seismology. This poster describes the technical curriculum, research program, project-based learning experiences, and future goals.

Series/Report Name or Number

Proceedings of the ALISE Annual Conference, 2022

Type of Resource

text

Language

eng

Handle URL

https://hdl.handle.net/2142/118003

DOI

https://doi.org/10.21900/j.alise.2022.988

Copyright and License Information

• Copyright 2022 Angela Murillo
• This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-sa/4.0/).

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