Data · dataset · 2011
National Occupational Mortality Survey (NOMS)
Listed in Harvard Dataverse
Users can access data about mortality statistics related to occupation exposures.
Description
Background
The National Occupational Mortality Survey (NOMS) is maintained by the National Institute for Occupational Safety and Health (NIOSH). The data base offers age-adjusted proportionate mortality ratios and summary statistics for roughly 500 occupational groups and 300 industry groups. User Functionality Users can search proportionate mortality ratio (PMR) data by sex, race, cause of death, industry (using census industry codes) or occupation, and age catego ries (15-54, 15-64, 65+).
Read the rest (5 more)
Additionally users can access over 3,000 premade charts and tables for quick access to selected chronic disease data. Twenty-two site-specific cancers and 17 cardiovascular, neurodegenerative, diabetes, and renal disease multiple cause PMRs are presented for the largest fifteen industries in each of eight sectors: agriculture, forestry, fishing; mining; construction; manufacturing, wholesale and retail trade; transportation, warehousing and utilities; healthcare and social assistance; and services.
Data
Notes
The NOMS database presents the results of a multiple cause death analysis of death by industry based on data from more than 11,000,000 death records for adults, race and gender combined, age 18 and above that died during the years 1984-1998 in twenty-seven U.S. states. The states are Alaska, Colorado, Georgia, Hawaii, Idaho, Indiana, Kansas, Kentucky, Maine, Missouri, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Penn sylvania, Rhode Island, South Carolina, Tennessee, Utah, Vermont, Washington, West Virginia, and Wisconsin.
Data acquired from data searches is available for download in HTML or Comma-Separated Value (CSV) format. Premade charts are available for download in excel.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.7910%2FDVN%2F7JGIQ9 ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.7910/dvn/7jgiq9 ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
- Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.7910%2FDVN%2… ↗
metadata API · from Harvard Dataverse
Topics
- From keywords
- Cancer · Cardiovascular disease
- Inferred from text
- Disease 75% · Epidemiology 74%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.7910/DVN/7JGIQ9 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[disease].local:disease:cancer | mapping · Harvard Dataverse | vocabulary-mapper@1.0.0 | keywords['Cancer'] |
| concepts[disease].local:disease:cardiovascular-disease | mapping · Harvard Dataverse | vocabulary-mapper@1.0.0 | keywords['Cardiovascular Disease'] |
| concepts[disease].local:disease:disease | enrichment · Harvard Dataverse | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:group:4202 | enrichment · Harvard Dataverse | taxonomy-embedding@1.1.0 | title+keywords+description (74%) |
| created_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| description | source · Harvard Dataverse | connector:dataverse@1.0.0 | /description |
| publication_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| title | source · Harvard Dataverse | connector:dataverse@1.0.0 | /name |
| updated_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| version_label | source · Harvard Dataverse | connector:dataverse@1.0.0 |