Data · dataset · 2015
Ethical Numbers: Ethics Training in U.S. Graduate Statistics Programs, 2013-2014
Listed in DataCite
As important members of research teams, statisticians bear an ethical responsibility to analyze, interpret, and report data honestly and objectively.
Description
One way of reinforcing ethical responsibilities is through required courses covering a variety of topics at the graduate level. We assessed ethics requirements for graduate-level statistics training programs in the United States for the 2013-2014 academic year using the websites of 88 universities, examining 103 biostatistics programs and 136 statistics degree programs.
We categorized programs' ethics training requirements as required or not required. Thirty-one (35.1%) universities required an ethics course for at least some degree students. Sixty-two (25.5%) degree programs required an ethics course for at least some students.
Read the rest (2 more)
The majority (77.4%) of required courses were worth 0 or 1 credit. Of the 177 programs without an ethics requirement, 19 (10.7%) listed an ethics elective. Although a single ethics course is insufficient for instilling an ethical approach to science, degree programs that model expectations through coursework point to the value of ethics in science.
More training programs should prepare statisticians to consider the ethical dimensions of their work through required coursework.
Links
Where it is published
- Repository landing page tandf.figshare.com/articles/dataset/Ethical_Numbers_Ethics_Training_in_U_S_Gradua… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.1289852.v1 ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Attribution 4.0 International creativecommons.org/licenses/by/4.0/legalcode ↗
license · from DataCite
- IsSupplementTo 10.1080/00031305.2014.997891 doi.org/10.1080/00031305.2014.997891 ↗
publication · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.1289852.v1 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.1289852.v1 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Biological sciences · Chemical sciences · Clinical medicine · Health sciences
- From keywords
- Cancer · Immunology · Inorganic chemistry · Medicine & Health · Research, science and technology policy
Related
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.1289852.v1 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| byte_size | source · DataCite | connector:datacite@1.0.0 | |
| concepts[disease].local:disease:cancer | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Cancer'] |
| concepts[field].fos:biological-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:chemical-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:clinical-medicine | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:health-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Medicine'] |
| created_date | source · DataCite | connector:datacite@1.0.0 | |
| description | source · DataCite | connector:datacite@1.0.0 | /data/attributes/descriptions |
| license | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| publication_date | source · DataCite | connector:datacite@1.0.0 | /data/attributes/dates |
| title | source · DataCite | connector:datacite@1.0.0 | /data/attributes/titles/0/title |
| updated_date | source · DataCite | connector:datacite@1.0.0 |