Mission Statement
To establish and promote standardised frameworks for spatial omics data that enable streamlined data sharing, interoperability, and accessibility while adhering to FAIR (Findable, Accessible, Interoperable, and Reusable) principles.
Vision
To drive a global transformation in spatial omics data management by creating an inclusive ecosystem where researchers, institutions, and industries collaborate to unlock the full potential of complex spatial datasets for scientific discovery and biomedical innovation.
Aims
Standardise Data Representation
Collaborate with academia, industry, publishers, and repositories to harmonise and adopt universal data formats for spatial omics.
Develop Metadata Guidelines
Provide clear, actionable guidelines for metadata annotation and digital object management to ensure data findability and reusability.
Foster Community Collaboration
Build synergies across research groups, institutions, and initiatives to align efforts toward interoperable spatial data standards.
Enhance Training and Education
Develop workshops, training materials, and tutorials aimed at PhDs, postdocs, and data managers to facilitate the implementation of FAIR data policies.
Promote Use Cases and Tools
Identify and showcase compelling use cases that highlight the benefits of standardised spatial data management, analysis pipelines, and integration tools.
Drive Sustainable Data Infrastructure
Advocate for long-term funding and support for sustainable, open-source platforms, repositories, and workflows to ensure continuous innovation and accessibility.