Beyond Pronouns: Caring for Transgender Medical Research Data to Benefit All People

Contributors:
Affiliated institutions: Johns Hopkins University

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: The multifaceted frequent attention to transgender and gender non-conforming experiences in the media and in the daily lives of so many individuals is a powerful motivator in research about the trans community and related communities. Medical research in/for/of these groups and documentation of the research products has been sparse and riddled with controversy. As this research begins to become more prevalent, as in the case of the newly created Johns Hopkins Transgender Health Research Collaborative, questions are emerging about data management and access surrounding avenues of research in the realm of trans medical care. This presentation will identify key questions and nascent ideas from experiences as a data management consultant at JHU . From access to discovery, to ensuring the safety of a vulnerable and extremely diverse group, this presentation seeks to illuminate how bias can complicate practices, how we can begin to address the questions we need to answer, and will put forth some steps forward to deliver quality data management services to researchers and the trans community as a whole.

License: CC-By Attribution 4.0 International

Wiki

Please see references and reading in Zotero connection and at the end of the slide presentation.

Files

Loading files...

Zotero

Loading citations...

Citation

Tags

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.