Registry Scientific Information Retrieval and Exchange Network

A modern method of records management and an automated cross-referenced subject index for accurate and comprehensive information retrieval developed by the US FDA's Bureau of Foods

Comment: appears in FOODON, there is no website other than the spreadsheet referenced below on langual's site
Prefix: siren
Alternative Prefixes: SUBSET_SIREN
Links: Homepage
Publications: 1982 SIREN: Data Base Approach to Scientific Information Handling in the Bureau of Foods, Food and Drug Administration
References: GitHub Issue https://github.com/FoodOntology/foodon/issues/267; Other https://www.langual.org/download/IndexedDatasets/FDA/SIREN%20(updated).TXT

Identifier Standards

Pattern for Local Unique Identifiers: Local unique identifiers in Scientific Information Retrieval and Exchange Network should match this regular expression:
^F\d+$
Example Local Unique Identifier: F11903
Pattern for CURIES: Compact URIs (CURIEs) constructed from Scientific Information Retrieval and Exchange Network should match this regular expression:
^siren:F\d+$
Example CURIE: siren:F11903

Contacts

Contact: Patrice Buche 0000-0002-9134-5404
Contributor: creator Charles Tapley Hoyt 0000-0003-4423-4370 cthoyt

Providers

Suggest

A provider turns a local unique identifiers from a resource into a URI. Many providers are also resolvable as URLs (i.e., they can be used in a web browser).

This resource does not have any providers. Please consider contributing one after reading the curation guide.

Normalize prefixes. This can be any capitalization or punctuation variant of the synonyms listed below.

>>> import bioregistry as br
>>> br.normalize_prefix("SUBSET_SIREN")
'siren'

Get all synonyms:

>>> import bioregistry as br
>>> br.get_synonyms("siren")
{'SUBSET_SIREN'}

This name annotation was originally annotated in Bioregistry and is redistributed under the CC0-1.0 license.

Get the name:

>>> import bioregistry as br
>>> br.get_name("siren")
'Scientific Information Retrieval and Exchange Network'

Get the homepage:

>>> import bioregistry as br
>>> br.get_homepage("siren")
'https://www.langual.org/langual_indexed_datasets.asp'

Get the contact's name:

>>> import bioregistry as br
>>> br.get_contact_name("siren")
'Patrice Buche'

Get the contact's email:

>>> import bioregistry as br
>>> br.get_contact_email("siren")
'patrice.buche@inrae.fr'

Get the contact's ORCiD identifier:

>>> import bioregistry as br
>>> br.get_contact_orcid("siren")
'0000-0002-9134-5404'