TY - JOUR A1 - Stadler, Gertraud A1 - Chesaniuk, Marie A1 - Haering, Stephanie A1 - Roseman, Julia A1 - Straßburger, Vera Maren A1 - Schraudner, Martina A1 - Ahmad, Aisha-Nusrat A1 - Auma, Maisha A1 - Banas, Kasia A1 - Borde, Theda A1 - Buspavanich, Pichit A1 - Dewey, Marc A1 - Di Maio, Sally A1 - Ditlmann, Ruth K. A1 - Enarovic, Ilona A1 - Fischer, Marina A1 - Gellert, Paul A1 - Gerstorf, Denis A1 - Grittner, Ulrike A1 - Gutsell, Jennifer A1 - Hagelskamp, Carolin A1 - Henschel, Anna A1 - Herrmann, Wolfram A1 - Hilger, Caren A1 - Horozoglu, Gülru A1 - Hövener, Claudia A1 - Hunter, Emma A1 - Iida, Masumi A1 - Keller, Lena A1 - Kendel, Friederike A1 - Krumbholz, Charlotte Ariane A1 - Licha, Matthias A1 - Mason, Kimberly A1 - Mata, Jutta A1 - Mau, Steffen A1 - Meuwly, Nathalie A1 - Moschko, Tomasz A1 - Müller-Werdan, Ursula A1 - O'Sullivan, Julie Lorraine A1 - Radl, Jonas A1 - Rathmann, Christian A1 - Regitz-Zagrosek, Vera A1 - Rieckmann, Nina A1 - Rommel, Alexander A1 - Salikutluk, Zerrin A1 - Shrout, Patrick E. A1 - Smith, Jamie A1 - Specht, Jule A1 - Stephan, Petra A1 - Stock, Christiane A1 - Wenzel, Mine T1 - Diversified innovations in the health sciences: Proposal for a Diversity Minimal Item Set (DiMIS) JF - Sustainable Chemistry and Pharmacy N2 - Background Science strives to provide high-quality evidence for all members of society, but there continues to be a considerable gender and diversity data gap, i.e., a systematic lack of data for traditionally underrepresented groups. Gender and other diversity domains are related to morbidity, mortality, and social and economic participation, yet measures as well as evidence regarding how these domains intersect are missing. We propose a brief, efficient Diversity Minimal Item Set (DiMIS) for routine data collection in empirical studies to contribute to closing the diversity and gender data gap. We focus on the example of health but consider the DiMIS applicable across scientific disciplines. Methods To identify items for the DiMIS across diversity domains, we performed an extensive literature search and conducted semi-structured interviews with scientific experts and community stakeholders in nine diversity domains. Using this information, we created a minimal item set of self-report survey items for each domain. Findings Items covering nine diversity domains as well as discrimination experiences were compiled from a variety of sources and modified as recommended by experts. The DiMIS focuses on an intersectional approach, i.e., studying gender, age, socioeconomic status, care responsibilities, sexual orientation, ethnicity, religion, disability, mental and physical health, and their intersections. It allows for data sets with comparable assessments of gender and diversity across multiple projects to be combined, creating samples large enough for meaningful analyses. Interpretation In proposing the DiMIS, we hope to advance the conversation about closing the gender and diversity data gap in science. Y1 - 2023 U6 - https://doi.org/10.1016/j.scp.2023.101072 VL - 33 ER -