Making Mathematical Research Data FAIR: A Technology Overview

TL;DR

This paper reviews existing technological solutions for making mathematical research data FAIR, emphasizing the importance of data sharing for reproducibility and faster scientific progress across disciplines.

Contribution

It provides a comprehensive overview of current data repositories and portals specifically focused on mathematical research data, highlighting their features and gaps.

Findings

Diverse landscape of mathematical data repositories

Importance of FAIR principles in research data sharing

Identification of gaps in existing repositories

Abstract

The sharing and citation of research data is becoming increasingly recognized as an essential building block in scientific research across various fields and disciplines. Sharing research data allows other researchers to reproduce results, replicate findings, and build on them. Ultimately, this will foster faster cycles in knowledge generation. Some disciplines, such as astronomy or bioinformatics, already have a long history of sharing data; many others do not. The current landscape of so-called research data repositories is diverse. This review aims to perform a technology review on existing data repositories/portals with a focus on mathematical research data.