Warning Letters

Metadata Updated: November 10, 2020

When it is consistent with the public protection responsibilities of the agency and depending on the nature of the violation, it is the Food and Drug Administration's (FDA's) practice to give individuals and firms an opportunity to take voluntary and prompt corrective action before it initiates an enforcement action. Warning Letters are issued to achieve voluntary compliance and to establish prior notice. The use of Warning Letters and the prior notice policy are based on the expectation that most individuals and firms will voluntarily comply with the law. See http://www.fda.gov/ICECI/ComplianceManuals/RegulatoryProceduresManual/uc... for additional infomation on Warning Letters.

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

Dates

Metadata Created Date November 10, 2020
Metadata Updated Date November 10, 2020

Metadata Source

Harvested from Healthdata.gov

Additional Metadata

Resource Type Dataset
Metadata Created Date November 10, 2020
Metadata Updated Date November 10, 2020
Publisher Department of Health & Human Services
Unique Identifier Unknown
Maintainer
Identifier 541c2445-224d-4235-9c13-8fac34903aa8
Data First Published 2012-05-30
Data Last Modified 2020-02-21
Category Community
Public Access Level public
Bureau Code 009:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://healthdata.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Data Quality True
Homepage URL https://healthdata.gov/dataset/warning-letters-1
License https://opendatacommons.org/licenses/odbl/1.0/
Program Code 009:002
Source Datajson Identifier True
Source Hash 106879d1e5a40840c73d9a7882af952b4c1f108e
Source Schema Version 1.1
Temporal 1996-11-01T00:00:00-05:00/1996-11-01T00:00:00-05:00

Didn't find what you're looking for? Suggest a dataset here.