Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Martin M. Cummings and the NLM

Metadata Updated: February 3, 2025

An online edition of XML-encoded speeches, articles, and Congressional Appropriations testimonies by former NLM director Martin M. Cummings, based on the collection of his papers in HMD’s Modern Manuscripts collection.

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 July 3, 2021
Metadata Updated Date February 3, 2025

Metadata Source

Harvested from Healthdata.gov

Additional Metadata

Resource Type Dataset
Metadata Created Date July 3, 2021
Metadata Updated Date February 3, 2025
Publisher National Library of Medicine
Maintainer
Identifier https://datadiscovery.nlm.nih.gov/api/views/n3zq-zwvr
Data First Published 2021-06-30
Data Last Modified 2024-07-19
Category Literature
Public Access Level public
Bureau Code 009:25
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
Harvest Object Id 9f7c1b33-f125-4efa-98d0-ef3b40e2d2b1
Harvest Source Id 651e43b2-321c-4e4c-b86a-835cfc342cb0
Harvest Source Title Healthdata.gov
Homepage URL https://www.nlm.nih.gov/hmd/digicolls/cummings/index.html
License http://opendefinition.org/licenses/odc-odbl/
Program Code 009:041
Source Datajson Identifier True
Source Hash 51b17033a4d5eb29048b372de794c92f5ee097b18485d944d43d9dee3e25ada1
Source Schema Version 1.1

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