Welcome to GenomicsChain
We embody FUTURE2 beyond FAIR
a groundbreaking approach to genomics data management
FAIR principles as a baseline
Adopting the foundational FAIR principles (Findable, Accessible, Interoperable, Reusable) as our baseline, complemented by CARE (Collective benefit, Authority to control, Responsibility, Ethics) for indigenous data governance and TRUST (Transparency, Responsibility, User focus, Sustainability, Technology) for trustworthy digital repositories.User-first
Designed for humans and AI agents, prioritizing clarity, guidance, and workflows that help researchers get real work done.Transparent
Maintaining open, verifiable processes ensuring trust and accountability at all stages of genomic data analysis.Unified
Bringing together diverse genomic data and systems into a cohesive, interoperable network, ensuring seamless collaboration and accessibility.Reproducible
Guaranteeing that scientific results remain consistent and verifiable through standardized workflows.Evolvable and Ethical
Built for co-evolution where systems and users (humans and AI) improve together under accountable, auditable interaction. The CBD COP16 (2024 United Nations Biodiversity Conference) decisions are guiding Open Science toward a more ethical direction, emphasizing responsible governance of Digital Sequence Information (DSI). GenomicsChain aligns with this evolution, integrating CARE and TRUST principles alongside FAIR to respect data sovereignty and ethical responsibilities.At GenomicsChain, we believe that harnessing the power of blockchain is key to building a better FUTURE2 for genomic data management.
With "FUTURE2 beyond FAIR", we go beyond traditional FAIR principles by integrating decentralization, security, transparency, and ethical governance, ensuring that genomic research remains trustworthy, accessible, ethically responsible, and continuously evolving.
By leveraging blockchain technology, we enable tamper-proof data integrity, empower collaborative innovation, and create an ecosystem where every contribution is recognized, valued, and ethically managed.
About GenomicsChain
π Mission
GenomicsChain's mission is to make genomic research processes transparent, reproducible, and evolvable.
We transform genomic workflows, decisions, and contributions into accountable digital assets, enabling researchers, institutions, and AI systems to collaborate with trust.
Rather than focusing solely on data storage or results, GenomicsChain values the process behind scientific discovery β because reproducibility and traceability are the foundation of credible science.
π Vision
We envision a future where humans, AI, and systems co-evolve through genomic research.
In this future, trust is not established by authority or opacity, but by verifiable processes, shared responsibility, and visible contribution.
GenomicsChain aims to become a global genomic infrastructure where workflows evolve, roles are continuously redefined, and scientific knowledge grows through cooperation rather than competition.
π Values
Goodwill as capital
Trust becomes value through visible contribution.
Process over outcome
Value is shaped by how results are created.
Evolvability by design
How value is defined can always change.
Architecture & System Design
GenomicsChain is designed as an evolvable system centered on process, not just data or results.
Its architecture emphasizes reproducibility, traceability, and continuous redefinition β enabling humans, AI, and the system itself to co-evolve.
π Workflow-Centered Architecture
At the core of GenomicsChain are workflows.
Genomic data, analysis steps, intermediate decisions, and AI-generated suggestions are all treated as first-class entities and recorded with provenance.
This ensures that scientific processes remain reproducible, inspectable, and reusable over time.
π± Evolvable System Design
GenomicsChain does not assume fixed rules or static governance.
Evaluation criteria, contribution models, and even system roles are designed to be revisited and refined based on accumulated processes and feedback.
By embedding reflection into the system itself, GenomicsChain remains adaptive without losing coherence.
π€ HumanβAI Co-creation Layer
AI systems such as Kairos participate as collaborators, not authorities.
Human judgment, AI proposals, and system constraints are explicitly separated, recorded, and connected.
This design preserves accountability while enabling natural-language interaction and scalable workflow creation.
ποΈ Supporting Infrastructure
Blockchain, secure storage, and cloud infrastructure serve as supporting layers rather than defining features.
They provide integrity, access control, and durability β while remaining interchangeable as the system evolves.
Our Team
Our multidisciplinary team combines expertise in genomics, blockchain technology,
and artificial intelligence to revolutionize genomic data management.
Together, we are building a decentralized future where genomics data is
transparent, reproducible, and auditable to researchers worldwide.
Get In Touch
Interested in learning more about GenomicsChain or partnering with us?
We'd love to hear from you.
Website: genomicschain.ch