Open Research Data and Analysis - How to Implement and Publish in European Project Context

AVI 2022 conference tutorial by Antti Knutas, Natasha Tylosky, and Tanvir Hasan

Abstract

Open data is increasingly important in European research projects due to personal or organizational commitment to open data, such as Horizon funding requirements. This tutorial begins with a review of how H2020 guidelines have been met in example projects and publications, and continues with a practical demonstration of how both research processes and research data can be processed and published openly with RStudio, RMarkdown, and Zenodo pipeline. We will conclude with a shared discussion of current challenges and exceptions to open publishing.

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.


Table of Contents


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.

Hours Step Details
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\
Antti Knutas    
10:00 – 10:20 Open science data publishing process How to publish research data AND analysis process openly: One example\
Antti Knutas    
10:20 – 10:40 Getting started with RStudio Cloud & Zenodo How to create your account in Rstudio Cloud and Zenodo\
Tanvir Hasan    
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?\
Natasha Tylosky    
11:45 – 12:15 From Web to Zenodo Demonstrating the GitHub Pages and Zenodo workflow for web content\
Natasha Tylosky    
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.

Tutorial tentative schedule

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.

Slide decks

Introduction, Open Science, and Sample Process

How to create your account in Rstudio Cloud and Zenodo

Demonstrating the GitHub Pages and Zenodo workflow for web content

Demo projects

Tools we use in this tutorial

More resources?

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

License

All tutorial materials on this page that have been create by ParCos staff are provided under Creative Commons BY 4.0 license.

Citation

If you reuse the materials, we’d greatly appreciate a citation as follows.

Knutas, A., Tylosky, N., & Hasan, T. (2022). Open research data and analysis - how to implement and publish in European project context. Advanced Visual Interfaces (AVI), Frascati, Italy. Zenodo. https://doi.org/10.5281/zenodo.7299954