Search
Product
About us
Contact
Blog

M4M19-VARS

Other names: M4M19-VARS

Names

More detailed information about this field from each metasource.

M4M19 Variables

metasource: Biontology / Bioportal
version: 0.2.0 extracted_at: 2022-11-04T11:10:15.597147, http://bioportal.bioontology.org/ontologies/M4M19-VARS

M4M19-VARS

metasource: Biontology / Bioportal
version: 0.2.0 extracted_at: 2022-11-04T11:10:15.597147, http://bioportal.bioontology.org/ontologies/M4M19-VARS

Controlled vocabularies allow an accurate and controlled approach in describing physical and digital assets (e.g., data). One of such controlled vocabulary is NICEST-2 Variables. This controlled vocabulary is a result of Metadata 4 Machine (M4M) Workshop 19 (M4M.19 funded by EOSC-Nordic ) provided to the NICEST-2 project. sheet2rdf and OntoStack, developed by FAIR Data Collective, are used to build and serve NICEST-2 Subjects, while PURL will be used to persist identifiers for the vocabulary terms and properties: http://purl.org/m4m19/variables/

Description

More detailed information about this field from each metasource.

Controlled vocabularies allow an accurate and controlled approach in describing physical and digital assets (e.g., data). One of such controlled vocabulary is NICEST-2 Variables. This controlled vocabulary is a result of Metadata 4 Machine (M4M) Workshop 19 (M4M.19 funded by EOSC-Nordic ) provided to the NICEST-2 project. sheet2rdf and OntoStack, developed by FAIR Data Collective, are used to build and serve NICEST-2 Subjects, while PURL will be used to persist identifiers for the vocabulary terms and properties: http://purl.org/m4m19/variables/

metasource: Biontology / Bioportal
version: 0.2.0 extracted_at: 2022-11-04T11:10:15.597147, http://bioportal.bioontology.org/ontologies/M4M19-VARS

Webpage:

https://github.com/fair-data-collective/M4M19-variables-vocabulary

Webpage

More detailed information about this field from each metasource.

https://github.com/fair-data-collective/M4M19-variables-vocabulary

metasource: Biontology / Bioportal
version: 0.2.0 extracted_at: 2022-11-04T11:10:15.597147, http://bioportal.bioontology.org/ontologies/M4M19-VARS

Publications:

Publications
More detailed information about this field from each metasource.

https://github.com/fair-data-collective/M4M19-variables-vocabulary
metasource: Biontology / Bioportal
version: 0.2.0 extracted_at: 2022-11-04T11:10:15.597147, http://bioportal.bioontology.org/ontologies/M4M19-VARS

https://github.com/fair-data-collective/M4M19-variables-vocabulary

More to explore:

1/20

M4M19 Subjects

Controlled vocabularies allow an accurate and controlled approach in describing physical and digital assets (e.g., data). One of such controlled vocabulary is NICEST-2 Subjects. This controlled vocabu ...

INCENTIVE Variables

Controlled vocabularies allow an accurate and controlled approach in describing physical and digital assets (e.g., data). One of such controlled vocabulary is INCENTIVE Variables. This controlled voca ...

INCENTIVE Community Controlled Vocabulary

Controlled vocabularies allow an accurate and controlled approach in describing physical and digital assets (e.g., data). One of such controlled vocabulary is INCENTIVE Controlled Vocabulary. This con ...

M4M.20 FAIRWare Variables

Controlled vocabularies allow an accurate and controlled approach in describing physical and digital assets (e.g., data). One of such controlled vocabulary is Psychology Variables. This controlled voc ...

M4M.21 FAIRWare Variables

Controlled vocabularies allow an accurate and controlled approach in describing physical and digital assets (e.g., data). One of such controlled vocabulary is Neuroscience Variables. This controlled v ...

M4M.21 FAIRWare Subjects

Controlled vocabularies allow an accurate and controlled approach in describing physical and digital assets (e.g., data). One of such controlled vocabulary is Neuroscience Subjects. This controlled vo ...

M4M.20 FAIRWare Subjects

Controlled vocabularies allow an accurate and controlled approach in describing physical and digital assets (e.g., data). One of such controlled vocabulary is Psychology Subjects. This controlled voca ...

DATACITE V4.4

Controlled vocabularies allow an accurate and controlled approach in describing physical and digital assets (e.g., data). One of such controlled vocabulary is Datacite Controlled Vocabulary. This cont ...

ENVS variables

Quantitative and qualitative variables describing environmental state

Ontology for Generic Dataset Metadata Template

Controlled terms and semantic properties used in the FAIR Data Collective's Generic Dataset Metadata Template.

ZonMW COVID-19

Collections of terms for the ZonMW COVID19 programme. These terms are based on vocabularies provided for describing project and data content metadata. This submission was created using sheet2rdf GitHu ...

Provenance Vocabulary

The Provenance Vocabulary provides classes and properties for describing provenance of Web data. The vocabulary focuses on two main use cases: 1.) It enables consumers of Web data to describe provenan ...

Ontology of Experimental Variables and Values

The Ontology of Experimental Variables and Values (OoEVV) provides a lightweight representation of (a) the variables used to measure experimental properties and (b) the measurement scales that form th ...

FlyBase Controlled Vocabulary

A structured controlled vocabulary developed and used by FlyBase, including the Drosophila phenotype ontology. It is used in annotation and classification of data related to Drosophila, including phen ...

Infectious Diseases and Antimicrobial Resistance

Collections of terms for the ZonMW ID&AMR programme. These terms are based on vocabularies provided for describing project and data content metadata. This submission was created using sheet2rdf GitHub ...

ZonMW Administrative Metadata Vocabulary

Collections of terms for the ZonMW COVID Training project. These terms are based on vocabularies provided for describing project-level metadata. This submission was created using SKOS Play from an ...

Observations Data Model 2 Controlled Vocabulary

Version 2 of the Observations Data Model (ODM2) has several controlled vocabularies. This web page was developed to promote consistency between different instances of ODM2 through a community moderate ...

Open Provenance Model Vocabulary

OPMV, the Open Provenance Model Vocabulary, is a lightweight provenance vocabulary created to aid responsible data publishing and interoperability between provenance information on the Semantic Web. T ...

Uniprot Tissues controlled vocabulary

The UniProt Tissue List is a controlled vocabulary of terms used to annotate biological tissues in the "TISSUE" topic of the RC line type. It also contains cross-references to other ontologies where t ...

ZonMw Generic Terms

General-purpose terms for the ZonMw

Previous Next

Need help integrating and/or managing biomedical data?

Follow our Twitter for updates

Service status

Reach us:
[email protected]

Data is amalgamated and only retrieved periodically.
Some of the resources used by the system:

® FAIRsharing.org
® Bioontology/Bioportal Terms
® Nucleic Acid Research - Database
® re3data.org
® bio.tools
® PubMed - Courtesy of the U.S. National Library of Medicine