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Overview In this part-1 of the workshop we covered the following topics: Reproducible Research Open Science FAIR principles Setting project repository README files (basic information about the project) on GitHub You can find the presentation on Zenodo (https://zenodo.org/record/6337939), shared under CC-BY 4.0 License for reuse and share. Please cite them as: Sharan, Malvika, & Karoune, Emma. (2022, March 8). The Turing Way Workshop: Reproducible, Open and FAIR Research. Zenodo. https://doi.org/10.5281/zenodo.6337939 Several slides in this presentation uses The Turing Way and Open Life Science contents shared under CC-BY 4.0 License. Assignments before the next session: Create a project repository in GitHub (see details here: https://hackmd.io/QPDHWmcSTVGPd4Z_VbwHTA#Pre-requisite) Add top-level files: README.md Use The Turing Way chapter for README to guide your assignment https://the-turing-way.netlify.app/project-design/project-repo/project-repo-readme.html README file is used to communicate about your work, use this template to get started: https://ha0ye.github.io/CW21-README-tips/template_README.html Also try to add a LICENSE.md: OPTIONAL (we will cover this detail in the session 2) This is to allow others to use, modify, build upon your work - we will cover this in the next session in more details. Learning objectives Problem: Scientific errors have real world effect Define what reproducible research is Understand what open science practices are Identify FAIR principles for your research Differentiate between FAIR and open data/research Learn how to implement a reproducible workflow Shared notes This workshop uses a shared document, you can see/reuse the template provided here: https://hackmd.io/@turingway/B1fgLlB-5/edit What to expect in session 2 Brief overview of what license to choose for your research objects Group activities to understand reproducible workflow (you don’t need to know how to code, but it will be an added advantage) Deploy GitHub repository on BinderHub. Binder allows users to share reproducible interactive computing environments from code repositories. This is useful to share your codes for testing
| 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 |
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