peer review
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This workshop provides a comprehensive look at peer review, teaching participants how to assess papers, write reports, and navigate ethical considerations.
The role of research software in science is more important now than ever. Researchers often develop their own software and use it to generate, process, or analyze results. Plus, software can be a valuable research output on its own. Other researchers can improve or adapt the software for new purposes, or apply it in their own projects whilst giving credit to the creators.
Yet, when it comes to publishing research software, researchers in the software community can face several challenges.
In this webinar, Demitra Ellina and Joseph Dunn shared how researchers can publish their research software in ways that maximize the benefits for themselves, the wider research community, and other users.
Play the recording to uncover:
How to share your research software through non-traditional article types
How to boost the visibility, reach, and reproducibility of your work
Preliminary guidance on software data sharing
Relevant case studies from F1000
This webinar was organized for research software engineers who are new to open research publishing, but researchers across all subject areas are invited to watch the recording on demand.
Demitra Ellina is an Associate Publisher at F1000 which she joined in 2017 after working in journal development at Springer Nature. She is a strong advocate of Open Research and engages with the research community to raise awareness of the F1000 publishing venues.
Joseph Dunn is a 1st Class Astrophysics Masters holder and an Assistant Editor in Physics at F1000, having always wanted to work close to the cutting edge of Science and Engineering.
peer review
|
This workshop provides a comprehensive look at peer review, teaching participants how to assess papers, write reports, and navigate ethical considerations.
data sharing
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This session focuses on preparing datasets for sharing, best practices for repositories, and writing Data Availability Statements. Participants will learn ethical and legal aspects of data sharing and strategies for handling sensitive data.
open research
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This course explores open research models, their adoption by stakeholders, and their impact on publishing workflows. Participants will learn ethical considerations and practices for engaging in open science and speculate on future publishing trends.