Open Metadata Markup Language
Abbreviation: odML
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: Jan. 8, 2019, 1:31 p.m.; Last accessed: Jan 17 2021 6:06 a.m.
Record added: April 4, 2018, 2:30 p.m.
Record updated:
Oct. 16, 2018, 1:23 p.m. by The FAIRsharing Team.
online documentation | odML Tutorial |
online documentation | SciCrunch Registry odML record |
Additional Information
Contact | Thomas Wachtler ORCID |
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 |
No XSD schemas defined
Conditions of Use
Applies to: Data useA Bottom-up Approach to Data Annotation in Neurophysiology.
Grewe J,Wachtler T,Benda J
Front Neuroinform 2011
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
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.
This record is not implemented by any policy.
Record Maintainer
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, 01GQ0802, 01GQ1302 (Federal Ministry of Education and Research (BMBF), Berlin, Germany)