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Open Metadata Markup Language

Abbreviation: odML

General Information

odML is a format to collect and share metadata in an organized, human- and machine-readable way. The format specifies a hierarchical structure for storing arbitrary metadata as extended key-value pairs. It is inherently extensible and can be adapted flexibly to the specific requirements of any laboratory. Developed within the Neuroinformatics community, it is a generic format intended for all types of data.

Homepage https://github.com/G-Node/python-odml/wiki

Countries that developed this resource Germany

Created in 2011

Taxonomic range

User-defined Tags

How to cite this record FAIRsharing.org: odML; Open Metadata Markup Language; DOI: https://doi.org/10.25504/FAIRsharing.pg4NHk; Last edited: March 12, 2021, 3:19 p.m.; Last accessed: Jul 31 2021 10:57 p.m.

This record is maintained by twachtler ORCID

Record added: April 4, 2018, 2:30 p.m.
Record updated: Feb. 24, 2021, 10:23 a.m. by The FAIRsharing Team.

Show edit history

Edits to 'https://fairsharing.org/FAIRsharing.pg4NHk' by 'The FAIRsharing Team' at 10:24, 24 Feb 2021 (approved):

	'grants' has been modified:
		Before:
			01GQ0801, 01GQ0802, 01GQ1302
		After:
			01GQ0801
			01GQ0802
			01GQ1302
		Added:
			01GQ0801
			01GQ0802
			01GQ1302
		Removed:
			01GQ0801, 01GQ0802, 01GQ1302

Edits to 'https://fairsharing.org/FAIRsharing.pg4NHk' by 'The FAIRsharing Team' at 13:23, 16 Oct 2018 (approved):

	'supportLinks' has been modified:
		Before:
			online documentation|https://g-node.github.io/python-odml/
		After:
			online documentation|https://g-node.github.io/python-odml/
			online documentation|https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_001376/resolver?q=*&l=
		Added:
			online documentation|https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_001376/resolver?q=*&l=
		Removed:

	'description' has been modified:
		Before: odML is a format to collect and share metadata in an organized, human- and machine-readable way. The format specifies a hierarchical structure for storing arbitrary metadata as extended key-value pairs. It is inherently extensible and can be adapted flexibly to the specific requirements of any laboratory. RRID:SCR_001376. Developed within the Neuroinformatics community, it is a generic format intended for all types of data.
		After: odML is a format to collect and share metadata in an organized, human- and machine-readable way. The format specifies a hierarchical structure for storing arbitrary metadata as extended key-value pairs. It is inherently extensible and can be adapted flexibly to the specific requirements of any laboratory. Developed within the Neuroinformatics community, it is a generic format intended for all types of data.

Edits to 'https://fairsharing.org/FAIRsharing.pg4NHk' by 'The FAIRsharing Team' at 13:34, 15 Oct 2018 (approved):

	'domains' has been modified:
		Before:
			Neuroinformatics
			Neurophysiology
			Neuroscience
		After:
			Data sharing
			General purpose
			Neuroinformatics
		Added:
			Data sharing
			General purpose
		Removed:
			Neurophysiology
			Neuroscience

	'description' has been modified:
		Before: odML is a format to collect and share metadata in an organized, human- and machine-readable way. The format specifies a hierarchical structure for storing arbitrary metadata as extended key-value pairs. It is inherently extensible and can be adapted flexibly to the specific requirements of any laboratory. RRID:SCR_001376
		After: odML is a format to collect and share metadata in an organized, human- and machine-readable way. The format specifies a hierarchical structure for storing arbitrary metadata as extended key-value pairs. It is inherently extensible and can be adapted flexibly to the specific requirements of any laboratory. RRID:SCR_001376. Developed within the Neuroinformatics community, it is a generic format intended for all types of data.

Edits to 'https://fairsharing.org/FAIRsharing.pg4NHk' by 'The FAIRsharing Team' at 15:01, 09 Apr 2018 (approved):

	'licences' has been modified:
		Before:
			BSD | Data
		After:
			odML-Specific BSD License | Data
			BSD 4-Clause "Original" or "Old" License | Data
		Added:
			odML-Specific BSD License | Data
			BSD 4-Clause "Original" or "Old" License | Data
		Removed:
			BSD | Data

Edits to 'https://fairsharing.org/FAIRsharing.pg4NHk' by 'The FAIRsharing Team' at 15:41, 04 Apr 2018 (approved):

	'related_standards' has been modified:
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		After:
			bsg-s001143|Extensible Markup Language
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			bsg-s001143|Extensible Markup Language
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Support

General

online documentation	odML Tutorial
online documentation	SciCrunch Registry odML record

Additional Information

Contact

Thomas Wachtler ORCID

Tools

python-odml LIbrary	https://github.com/G-Node/python-odml/releases/latest	latest
odML Editor	https://github.com/G-Node/odml-ui/releases/latest	latest
odmlTables	https://github.com/INM-6/python-odmltables/releases/latest	latest

Schemas

No XSD schemas defined

Access / Retrieve Data

Conditions of Use

Applies to: Data use

Publications

A Bottom-up Approach to Data Annotation in Neurophysiology.

Grewe J,Wachtler T,Benda J
Front Neuroinform 2011

View Paper (PubMed) View Publication

Related Standards

Reporting Guidelines

No guidelines defined

Terminology Artifacts

No semantic standards defined

Models and Formats

Identifier Schemas

No identifier schema standards defined

Metrics

No metrics standards defined

Related Databases (2)

G-Node Data Infrastructure Services
The German Neuroinformatics Node's data infrastructure (GIN) services provide a platform for comprehensive and reproducible management and sharing of neuroscience data. Building on well established versioning technology, GIN offers the power of a web based repository management service combined with a distributed file storage. The service addresses the range of research data workflows starting from data analysis on the local workstation to remote collaboration and data publication.

EBRAINS
EBRAINS is a platform for sharing brain research data ranging in type as well as spatial and temporal scale. The EBRAINS data curation service aims to provide maximum impact, visibility, reusability, and longevity. The user interface of the EBRAINS Knowledge Graph allows you to easily find data of interest. EBRAINS hosts a wide range of data types and models from different species. All data are well described and can be accessed immediately for further analysis.

Implementing Policies

This record is not implemented by any policy.

Credit

Record Maintainer

This record is maintained by twachtler ORCID

Funds

Federal Ministry of Education and Research (BMBF), Berlin, Germany (Government body)

Maintains

Ludwig-Maximilians-Universitt Mnchen, Department Biologie II, Division of Neurobiology, Munich, Germany (University)

Grant Number(s)

01GQ0801 (Federal Ministry of Education and Research (BMBF), Berlin, Germany)
01GQ0802 (Federal Ministry of Education and Research (BMBF), Berlin, Germany)
01GQ1302 (Federal Ministry of Education and Research (BMBF), Berlin, Germany)

Open Metadata Markup Language

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