@article{IR,
      author = {Paris, Stephanie and Dinno, Alexis and Marr, Mollie C. and  Link, Aaron Raz and Lentz, Brandy L. and Setthavongsack,  Angie and Espinosa, Shanthia N. and Downing, Jae M. and  Alvord, Teala W. and Nguyen, Phuc T. and Richardson, Dawn  M. and Marriott, Lisa K.},
      url = {http://digitalcollections.ohsu.edu/record/41866},
      title = {Inclusive approaches for measuring demographics of  underrepresented populations in STEM and biomedical  research training programs},
      publisher = {Oregon Health and Science University},
      abstract = {Increasing diversity within the biomedical workforce has  been prioritized by federal strategic plans. The National  Institutes of Health (NIH) expanded their definition of  underrepresented populations in biomedical science  (NOT-OD-20-031), though without expanded reporting  requirements and guidance, training programs remain  challenged to accurately measure and evaluate diversity.  Using inclusive demographic measures may help identify key  demographic groups facing barriers to participation and  retention in STEM programs and the biomedical workforce.  This study examined ways to measure demographic variables  used in scientific literature and by research  stakeholders.},
      number = {IR},
      doi = {https://doi.org/10.6083/bpxhc41866},
      recid = {41866},
      address = {2023-09-08},
}