Advancing microbiome science together
Contribute and share your own study and biosample information
A community-driven data infrastructure
The NMDC is tackling existing gaps in microbiome science through distributed data infrastructure and linked data technologies. Our three products — the Submission Portal, NMDC EDGE, and the Data Portal — are driven by community needs. They support data, information, knowledge sharing, and access.
Promoting an inclusive community
The NMDC seeks to connect and engage the microbiome community to unlock new possibilities in microbiome data science. Focusing on broad and inclusive activities, we aim to empower participation in data curation, discovery, and analytical processes through active partnerships among the research community.
Advancing how scientists create, use, and reuse microbiome data
Data standards with expert curation
Map existing ontologies and standard vocabularies to the rich contextual metadata used to describe sample collection and processing.
Use ontology mapping tools and curation resources to enable automated annotation of standardized metadata to adhere to the FAIR principles.
Standardized bioinformatics workflows
Develop microbiome workflows for metagenomes, metatranscriptomes, metaproteomes, and metabolomics data processing leveraging high performance compute (HPC) systems.
Generate and integrate interoperable and reusable microbiome data from data providers.
Data integration and access
Iteratively develop a graphical web-based interface that streamlines search, data exploration, and discovery.
Provides access to FAIR multidisciplinary data and standardized, reproducible data products for comparative analyses.
Engagement and partnerships
Establish support for open science and FAIR microbiome data across research teams through a tiered engagement model.
Partner with publishers, funders, and scientific societies and consortiums to incentivize data sharing and reuse.
Building a world where data is FAIR
Findable
Ensuring all data registered within the NMDC ecosystem is human and machine readable
Accessible
Identifying datasets that are available, including any authentication and authorization requirements
Interoperable
Providing provenance, metadata, and uniformly processed data that can be exchanged across resources
Reusable
Enabling download of data, data products, and workflows for analyses and sharing
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