IO-FAST: Initiative for FAIR Spatial Data

Collaborate with academia, industry, publishers, and repositories to harmonise and adopt universal data standards for spatial omics.

Provide clear, actionable guidelines for metadata annotation and digital object management to ensure data findability and reusability.

Build synergies across research groups, institutions, and initiatives to align efforts toward spatial data standards.

Develop workshops, training materials, and tutorials aimed at PhDs, postdocs, and data managers to facilitate the implementation of FAIR data policies.

Identify and showcase compelling use cases that highlight the benefits of standardised spatial data management, analysis pipelines, and integration tools.

Advocate for long-term funding and support for sustainable, open-source platforms, repositories, and workflows to ensure continuous innovation and accessibility.