ABSTRACT:

As a researcher, you create data for your own specific purpose. However, with not too much effort you can increase the FAIRness (Findability, Accessibility, Interoperability, and Reusability) of your data significantly. In this interactive workshop we will show and demonstrate how to choose a proper platform for data publishing, which metadata standards to use, what the preferred formats are for your primary research data, and which services you can use to create the ultimate FAIR datasets.

LEARNING OBJECTIVES:

1. Understand the background of FAIR principles
2. Understand the difference between Open vs. FAIR
3. Find a suitable schema for standardising metadata
4. Find the most suitable platform(s) for publishing your dataset
5. Determine which tools/services we present here are most applicable to your work

DETAILS:

The slide deck is distributed the same across two file formats: .pptx and .pdf. The .pptx format is the most (web) accessible, while the .pdf serves as a stable visual version with accessible features. The training exercise documents are distributed the same across three file formats: .docx., .pdf, and .rtf. The .docx format is the most (web) accessible, while the .pdf serves as a stable visual version with accessible features, and the .rtf file is the most open. In case of format issues, all .pdf files would be considered the reference file - these three reference files are denoted by "1-" at the beginning of the file name.