Starting with data: advancing spatial data science by building and sharing high-quality datasets

TL;DR

This paper emphasizes the significance of developing and sharing high-quality spatial datasets to advance the interdisciplinary field of spatial data science.

Contribution

It highlights the need for standardized high-quality datasets and discusses strategies for building and sharing them to foster progress in spatial data science.

Findings

High-quality datasets are crucial for spatial data science advancement.

Sharing datasets promotes collaboration and reproducibility.

Standardization improves data usability and integration.

Abstract

Spatial data science has emerged in recent years as an interdisciplinary field. This position paper discusses the importance of building and sharing high-quality datasets for spatial data science.