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Other literature type . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Presentation . 2024
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2024
License: CC BY
Data sources: Datacite
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US-RSE: Empowering Hidden Contributors Driving Science

Authors: Gesing, Sandra;

US-RSE: Empowering Hidden Contributors Driving Science

Abstract

Over the past decade, academia and national labs have increasingly recognized the crucial role of hidden contributors contributing to accelerating science. The acknowledgement is evident in quite some projects. From the founding of 8 Research Software Engineer Associations worldwide to the dedicated efforts of the NSF Center of Excellence for Science Gateways. While it is encouraging that the importance of research software and projects such as HDF5 by the HDFGroup, we still have a long road in front of us for well-defined career paths and incentives for people in the line of work of creating research software. A multi-faceted approach is needed to meet researchers and educators as well as the hidden contributors where they are. This talk will delve into the crucial role of research software engineers in advancing research and computational activities. Furthermore, It will highlight the importance of fostering a community that encompasses all stakeholders in academia and national labs, advocating for a cultural change and actionable measures on how everyone can contribute to make it happen.

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    These citations are derived from selected sources.
    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
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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Beta
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