Sex and Gender Equity in Research: rationale for the SAGER guidelines and recommended use
By Shirin Heidari, T. Babor, P. De Castro, S. Tort, M. Curno. Research Integrity and Peer Review, 2016
1,773 citations recorded by the source corpus.
Sex and gender differences are often overlooked in research design, study implementation and scientific reporting, as well as in general science communication. This oversight limits the generalizability of research findings and their applicability to clinical practice, in particular for women but also for men. This article describes the rationale for an international set of guidelines to encourage a more systematic approach to the reporting of sex and gender in research across disciplines. A panel of 13 experts representing nine countries developed the guidelines through a series of teleconferences, conference presentations and a 2-day workshop. An internet survey of 716 journal editors, scientists and other members of the international publishing community was conducted as well as a literature search on sex and gender policies in scientific publishing. The Sex and Gender Equity in Research (SAGER) guidelines are a comprehensive procedure for reporting of sex and gender information in study design, data analyses, results and interpretation of findings. The SAGER guidelines are designed primarily to guide authors in preparing their manuscripts, but they are also useful for editors, as gatekeepers of science, to integrate assessment of sex and gender into all manuscripts as an integral part of the editorial process.
Subfields: Gender Studies, Public Health, Environmental and Occupational Health, Social Psychology
View Paper: https://www.semanticscholar.org/paper/d65afb6d33ff13d1f25b5be53388ebe777650067
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Gender Studies
In Social Psychology
Citations in the corpus
- Sex and gender analysis improves science and engineering (2019, methodology): “Importantly, the widely adopted Sex and Gender Equity in Reporting (SAGER) guidelines recommend that data be disaggregated by both sex and gender 120 .”
- Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis (2020, methodology): “However, given that some anatomical attributes are reflected in X-ray images, the term sex could be more accurate, according to the Sex and Gender Equity in Research guidelines (29).”