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.

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

This version

7.6.2

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-7.6.2.tar.gz (385.0 kB view details)

Uploaded Source

Built Distribution

nmdc_schema-7.6.2-py3-none-any.whl (396.2 kB view details)

Uploaded Python 3

File details

Details for the file nmdc_schema-7.6.2.tar.gz.

File metadata

  • Download URL: nmdc_schema-7.6.2.tar.gz
  • Upload date:
  • Size: 385.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.17

File hashes

Hashes for nmdc_schema-7.6.2.tar.gz
Algorithm Hash digest
SHA256 46d3d1962d1f851a970e19f7a58a35a2a284c0ae1b60e65e8486b5de4644ca3b
MD5 ee8f875391c70fe8d69f8007b60dad35
BLAKE2b-256 c8b266c55843043d26349c1edca0b2d304d01adc87a143db81cf61210688398a

See more details on using hashes here.

File details

Details for the file nmdc_schema-7.6.2-py3-none-any.whl.

File metadata

  • Download URL: nmdc_schema-7.6.2-py3-none-any.whl
  • Upload date:
  • Size: 396.2 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-7.6.2-py3-none-any.whl
Algorithm Hash digest
SHA256 e13e67621968d390328d10a0eb641ca5e5450752e60c801052e6dd1f33469b8a
MD5 0f7d6620d0ccc545d6116e77c995834e
BLAKE2b-256 448fff30e189f3dafc840869c51c61f0d347398267df97fdae2b514d428e87e0

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