Skip to main content

Schema resources for the National Microbiome Data Collaborative (NMDC)

Project description

National Microbiome Data Collaborative Schema

PyPI - License PyPI version

The NMDC is a multi-organizational effort to integrate microbiome data across diverse areas in medicine, agriculture, bioenergy, and the environment. This integrated platform facilitates comprehensive discovery of and access to multidisciplinary microbiome data in order to unlock new possibilities with microbiome data science.

This repository mainly defines a LinkML schema for managing metadata from the National Microbiome Data Collaborative (NMDC).

Repository Contents Overview

Some products that are maintained, and tasks orchestrated within this repository are:

  • Maintenance of LinkML YAML that specifies the NMDC Schema
  • Makefile targets for converting the schema from it's native LinkML YAML format to other artifact like JSON Schema
  • Build, deployment and distribution of the schema as a PyPI package
  • Automatic publishing of refreshed documentation upon change to the schema, accessible here

Background

The NMDC Introduction to metadata and ontologies primer provides some the context for this project.

Maintaining the Schema

New system requirement: Mike Farah's GO-based yq

Some optional components use the Java-based ROBOT, which might be replaced with Jena arq in the future. Jena riot is also a part of the MongoDB dumping, repairing and validation workflow, if the user wishes to generate and validate RDF/TTL.

See MAINTAINERS.md for instructions on maintaining and updating the schema.

Data downloads

The NMDC's metadata about biosamples, studies, bioinformatics workflows, etc. can be obtained from our nmdc-runtime API. Try entering "biosample_set" or "study_set" into the collection_name box at https://api.microbiomedata.org/docs#/metadata/list_from_collection_nmdcschema__collection_name__get

Or use the API programmatically! Note that some collections are large, so the responses are paged.

You can learn about the other available collections at https://microbiomedata.github.io/nmdc-schema/Database/

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nmdc_schema-7.7.2.tar.gz (469.9 kB view details)

Uploaded Source

Built Distribution

nmdc_schema-7.7.2-py3-none-any.whl (482.9 kB view details)

Uploaded Python 3

File details

Details for the file nmdc_schema-7.7.2.tar.gz.

File metadata

  • Download URL: nmdc_schema-7.7.2.tar.gz
  • Upload date:
  • Size: 469.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.17

File hashes

Hashes for nmdc_schema-7.7.2.tar.gz
Algorithm Hash digest
SHA256 0243c92a55e395ee697bd0c3de6674dc624dcf2c028014977ba19bd330ebc868
MD5 4793502b9d348bc2ba3e2e601fd2545b
BLAKE2b-256 7b643ca50a4594a9d71107bdf2517cbc09fa268b19b5ad73b9e9306ff3645a69

See more details on using hashes here.

File details

Details for the file nmdc_schema-7.7.2-py3-none-any.whl.

File metadata

  • Download URL: nmdc_schema-7.7.2-py3-none-any.whl
  • Upload date:
  • Size: 482.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.17

File hashes

Hashes for nmdc_schema-7.7.2-py3-none-any.whl
Algorithm Hash digest
SHA256 9ba0e301e5fac36b2422bd3adcfac67508908cf99e70b548c839cffc2d9a704f
MD5 8303e627c115cd0c843d3cf930ef7f02
BLAKE2b-256 83fe9873fccf86a5eaf3b2a2283b21536036091fd41b52cfad5062b72d5303bc

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page