standards > model/format > DOI:10.25504/FAIRsharing.ld9wne


ready Open Data for Access and Mining Structural Metadata

Abbreviation: ODAM Structural Metadata


General Information
Open Data for Access and Mining (ODAM) Structural Metadata is a format describing how the metadata should be formatted and what should be included to ensure ODAM compliance for a data set. To comply with this format, two metadata files in TSV format are required in addition to the data file(s). These two files describe the metadata of the dataset, which includes descriptions of measures and structural metadata like references between tables. The metadata lets non-expert users explore and visualize your data. By making data interoperable and reusable by both humans and machines, it also encourages data dissemination according to FAIR principles. The structural metadata is specified in section three of the listed homepage.



How to cite this record FAIRsharing.org: ODAM Structural Metadata; Open Data for Access and Mining Structural Metadata; DOI: https://doi.org/10.25504/FAIRsharing.ld9wne; Last edited: July 31, 2020, 2:06 p.m.; Last accessed: Sep 30 2020 10:52 p.m.


This record is maintained by djacob  ORCID

Record added: July 2, 2020, 4:18 p.m.
Record updated: July 16, 2020, 11:39 a.m. by The FAIRsharing Team.

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General

Additional Information



Schemas

No XSD schemas defined


Access / Retrieve Data

Conditions of Use

Applies to: Database software


REST Web Services



Publications

Towards FAIRification of experimental data tables in life sciences: a pragmatic approach

Daniel Jacob , Romain David, Sophie Aubin, Yves Gibon
Preprint 2020

Link to Publication

Related Standards

Reporting Guidelines

No guidelines defined

Terminology Artifacts

No semantic standards defined

Identifier Schemas

No identifier schema standards defined

Metrics

No metrics standards defined


Related Databases (1)
Portail Data INRAE
Portail Data INRAE is offered by INRAE as part of its mission to open the results of its research. INRAE is Europe’s top agricultural research institute and the world’s number two centre for the agricultural sciences. Data INRAE will share research data in relation to food, nutrition, agriculture and environment. It includes experimental, simulation and observation data, omics data, survey and text data. Only data produced by or in collaboration with INRAE will be hosted in the repository, but anyone can access the metadata and the open data. Data INRAE is built on software from the Dataverse Project.

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