AVI 2022 conference tutorial by Antti Knutas, Natasha Tylosky, and Tanvir Hasan
Thank you for your interest in the workshop! In this workshop, we cover open data requirements from a research project perspective, briefly recap open science data, and present a sample workflow that can assist you in opening up your both analysis process and data.
Schedule and location
The tutorial is arranged at the AVI 2022 conference, in Room Ferreri, on the 6th of June. We start at 09:30AM and then loosely follow the schedule.
|09:30 – 09:40||Welcome and introduction||Tutorial hosts Antti Knutas, Natasha Tylosky, and Tanvir Hasan introduce themselves; participants can introduce their research context and interests.|
Once everyone is ready, we proceed.
|09:40 – 10:00||Open science||Recap of Open Science and European context and requirements – one perspective|
|10:00 – 10:20||Open science data publishing process||How to publish research data AND analysis process openly: One example|
|10:20 – 10:40||Getting started with RStudio Cloud & Zenodo||How to create your account in Rstudio Cloud and Zenodo|
|10:40 – 11:00||Getting started with RStudio Cloud & Zenodo: Guided activity||Getting started: An opportunity to try the tools on your own.|
Assistance by Antti Knutas, Tanvir Hasan, and Natasha Tylosky
|11:00 – 11:30||Coffee and discussion||Coffee break|
|11:30 – 11:45||Data visualization interlude while waiting for last arrivals||How to visualize graphics along with your open research data?|
|11:45 – 12:15||From Web to Zenodo||Demonstrating the GitHub Pages and Zenodo workflow for web content|
|12:15 – 12:30||Q&A and testing the tools||Do you have research problems or processes to discuss or analyze? Are there challenges in open data that you have encountered? Let’s list and analyze any problems that we have encountered.|
Slide decks and demo projects
Tutorial content, including the schedule, demo R projects, and the timetable will be provided here before the day of the event.
- Rstudio cloud demo project: https://rstudio.cloud/project/4069344
- GitHub demo project (source & project): https://github.com/tashisha/Helsinki-Libraries-D3-data-viz
- View the same in the browser: https://parcos-project.github.io/Helsinki-Libraries-D3-data-viz/library_viz_stacked_bar/
Tools we use in this tutorial
- Rstudio Cloud: https://rstudio.cloud
- Zenodo: https://zenodo.org
- Zenodo Sandbox: https://sandbox.zenodo.org/ (kindly do not use the actual Zenodo page for testing – please use this sandbox instead)
- GitHub (optionally): https://github.org
Learning to program R itself is unfortunately out of scope of this workshop. If you got interested after learning the workflow, we can recommend the following resources.
R and R studio
Open Science Data
Open Science Policy and Recommendations
- UNESCO, The United Nations Educational, Scientific and Cultural Organization, Recommendation on Open Science
- European Union open science policy
- Our Policy Brief on open and engaging science
All tutorial materials on this page that have been create by ParCos staff are provided under Creative Commons BY 4.0 license.