Open Metadata Markup Language
Names
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Open Metadata Markup Language
metasource: Fairsharing.org
version: 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: Jan 03 2022 7:13 p.m.
odML
metasource: Fairsharing.org
version: 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: Jan 03 2022 7:13 p.m.
Names
More detailed information about this field from each metasource.
Open Metadata Markup Language
metasource: Fairsharing.orgversion: 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: Jan 03 2022 7:13 p.m.
odML
metasource: Fairsharing.orgversion: 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: Jan 03 2022 7:13 p.m.
Names
More detailed information about this field from each metasource.
Open Metadata Markup Language
metasource: Fairsharing.orgversion: 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: Jan 03 2022 7:13 p.m.
odML
metasource: Fairsharing.orgversion: 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: Jan 03 2022 7:13 p.m.
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.
Description
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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.
metasource: Fairsharing.orgversion: 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: Jan 03 2022 7:13 p.m.
Webpage:
https://github.com/G-Node/python-odml/wikiWebpage
More detailed information about this field from each metasource.
https://github.com/G-Node/python-odml/wiki
metasource: Fairsharing.orgversion: 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: Jan 03 2022 7:13 p.m.
Licence:
Name: odML-Specific BSD LicenseLicence name
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odML-Specific BSD License
metasource: Fairsharing.orgversion: 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: Jan 03 2022 7:13 p.m.
Licence URL
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https://github.com/G-Node/python-odml/blob/master/LICENSE
metasource: Fairsharing.orgversion: 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: Jan 03 2022 7:13 p.m.
Publications:
Publications
More detailed information about this field from each metasource.
A Bottom-up Approach to Data Annotation in Neurophysiology
PMID: 21941477
metasource: Fairsharing.org
version: 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: Jan 03 2022 7:13 p.m.
Publications
More detailed information about this field from each metasource.
A Bottom-up Approach to Data Annotation in Neurophysiology
PMID: 21941477
metasource: Fairsharing.org
version: 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: Jan 03 2022 7:13 p.m.
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A Bottom-up Approach to Data Annotation in Neurophysiology
PubMed citations: 26.
26 articles citing: A Bottom-up Approach to Data Annotation in Neurophysiology
1024-channel electrophysiological recordings in macaque V1 and V4 during resting state. PMID:35277528
NDI: A Platform-Independent Data Interface and Database for Neuroscience Physiology and Imaging Experiments. PMID:35074827
The Neuroscience Experiments System (NES)-A Software Tool to Manage Experimental Data and Its Provenance. PMID:35069167
Understanding the Nature of Metadata: Systematic Review. PMID:35014967
A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility. PMID:33506383
NWB Query Engines: Tools to Search Data Stored in Neurodata Without Borders Format. PMID:33041776
Experimental Pipeline (Expipe): A Lightweight Data Management Platform to Simplify the Steps From Experiment to Data Analysis. PMID:32792932
An open-source framework for neuroscience metadata management applied to digital reconstructions of neuronal morphology. PMID:32219575
odMLtables: A User-Friendly Approach for Managing Metadata of Neurophysiological Experiments. PMID:31611781
Experimental Directory Structure (Exdir): An Alternative to HDF5 Without Introducing a New File Format. PMID:29706879
Massively parallel recordings in macaque motor cortex during an instructed delayed reach-to-grasp task. PMID:29633986
Applying an Archetype-Based Approach to Electroencephalography/Event-Related Potential Experiments in the EEGBase Resource. PMID:28428750
Event-related potential data from a guess the number brain-computer interface experiment on school children. PMID:28350376
Methods for Specifying Scientific Data Standards and Modeling Relationships with Applications to Neuroscience. PMID:27867355
Handling Metadata in a Neurophysiology Laboratory. PMID:27486397
Preparing Laboratory and Real-World EEG Data for Large-Scale Analysis: A Containerized Approach. PMID:27014048
Toward Building Hybrid Biological/in silico Neural Networks for Motor Neuroprosthetic Control. PMID:26321943
A scalable neuroinformatics data flow for electrophysiological signals using MapReduce. PMID:25852536
Semantic framework for mapping object-oriented model to semantic web languages. PMID:25762923
NeuronDepot: keeping your colleagues in sync by combining modern cloud storage services, the local file system, and simple web applications. PMID:24971059
Integrated platform and API for electrophysiological data. PMID:24795616
Software and hardware infrastructure for research in electrophysiology. PMID:24639646
Data management routines for reproducible research using the G-Node Python Client library. PMID:24634654
Neo: an object model for handling electrophysiology data in multiple formats. PMID:24600386
MOBBED: a computational data infrastructure for handling large collections of event-rich time series datasets in MATLAB. PMID:24124417
CoCoMac 2.0 and the future of tract-tracing databases. PMID:23293600
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