Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Presentation . 2025
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2025
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Who Do You Think You Are? Creating RSE Personas from GitHub Interactions in Research Software Repositories…

Authors: Anderson, Felicity;

Who Do You Think You Are? Creating RSE Personas from GitHub Interactions in Research Software Repositories…

Abstract

In October 2025, Felicity Anderson joined the HiRSE Seminar Series to talk about “Who Do You Think You Are? Creating RSE Personas from GitHub Interactions in Research Software Repositories…” Abstract: Flic Anderson introduces Research Software Engineering (RSE) Personas - a novel research approach for explaining and exploring patterns in how contributors interact with collaborative research software (RS) repositories on GitHub. The talk briefly covers how 7 RSE personas were identified using a data-driven approach, and what these different RSE Personas can tell us about RS contributors from GitHub API data. She will also discuss how this research is currently being expanded, and how the RSE community could use this concept in the future to support RSEs and RS teams to build their skills, build better teams, and ultimately build better software! This talk expands on the deRSE 2025 poster: Who Do You Think You Are? Identifying Research Software Engineering Personas From Developer / Repository Interaction Data. The presentation recording is available on the HiRSE YouTube Channel: https://www.youtube.com/@Helmholtz_Platform_for_RSE Learn more about the HiRSE Seminar Series: https://www.helmholtz-hirse.de/series.html

Keywords

rse

  • BIP!
    Impact byBIP!
    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).
    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
Powered by OpenAIRE graph
Found an issue? Give us feedback
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