ucl-open-science-awards-2023

Presentation for UCL Open Science Award for the Category "Professional Services Staff Activities"

https://github.com/oss-for-surg-med-ai-tech/ucl-open-science-awards-2023

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.7%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

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Presentation for UCL Open Science Award for the Category "Professional Services Staff Activities"

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Created over 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License Citation

README.md

:trophy: UCL Open Science Award for the Category "Professional Services Staff Activities"

Winner: Miguel Xochicale, Advanced Research Computing Centre (ARC) and Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS). My project truly stood out from 50 applications and nominations. It demonstrated a strong commitment to the promotion of open science practices.

:bookmark_tabs: Content

:calendar: Event

Event: UCL Open Science and Scholarship Awards Presentation
When: Wednesday, October 25 · 2 - 3:30pm BST
Where: Garden Room, UCL Main Campus, Gower Street London WC1E 6AE
Registration: Here

Citations

DOI

@software{miguel_xochicale_phd_2023_10043814, author = {Miguel Xochicale}, title = {{oss-for-surgtech/ucl-open-science-awards-2023: v1.0.0}}, month = oct, year = 2023, publisher = {Zenodo}, version = {v1.0.0}, }

:octocat: Clone repository

  • Clone the repository by typing (or copying) the following line in a terminal at your selected path in your machine: cd && mkdir -p $HOME/repositories/oss-for-surgtech && cd $HOME/repositories/oss-for-surgtech git clone https://github.com/oss-for-surgtech/ucl-open-science-awards-2023.git

License

CC Attribution-ShareAlike 4.0 International Shield: CC BY-SA 4.0

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

CC BY-SA 4.0

:books: References

  • https://blogs.ucl.ac.uk/open-access/2023/10/11/announcing-ucl-open-science-scholarship-award-winners/
  • https://blogs.ucl.ac.uk/open-access/2023/10/26/open-science-scholarship-awards-winners/

:speaking_head: Contact

If you have specific questions about the content of this repository, you can contact Miguel Xochicale. If your question might be relevant to other people, please instead open an issue.

Owner

  • Name: Open-Source Software Innovations in Surgical, Medical and AI Technologies
  • Login: oss-for-surg-med-ai-tech
  • Kind: organization
  • Location: United Kingdom

Through workshops, white papers, community forums, and collaborative initiatives, we foster cooperation to shape a better future for healthcare.

Citation (CITATION.cff)

cff-version: 1.1.0
message: "If you use this software, please cite it as below."
authors:
- family-names: Xochicale
  given-names: Miguel
orcid: https://orcid.org/0000-0002-8225-7517
title: Slides for 🏆 UCL Open Science Award for the Category Professional Services Staff Activities
version: v1.0.0
date-released: 2023-10-26

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