Data from the Researcher Mental Health Observatory STAIRCASE Survey

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Authors: Jana Lasser, Stefan T. Mol, Alja Čontala, Ana Slavec, Andreja Zulim de Swarte, Anna Khachatryan, Anna Maria Eleuteri, Anupoma Haque, Baiba Jansone, Blerina Vrenozi, Brian Cahill, Carlos Trenado
+66 more Christiane Schwieren, Claudia Iuliana Iacob, Claudia Tejada‐Gallardo, Cornelia Măirean, Darragh McCashin, Deborah Chery, Dilara Özel, Dimity Stephen, Dragan Mijakoski, Elena Ronda, Eleonora Ricci, Eliana Ibrahimi, Emese Vita, Fatjona Kamberi, Fernando García Benavides, Francisco Valente Gonçalves, Gábor Kismihók, Gemma Pascual Manich, Igor Esnaola, Igor Portoghese, Inge van der Weijden, Irina Guseva Canu, Irsida Mehmeti, Ivana B. Petrović, Jakub Šindelář, João Miguel Alves Ferreira, Jonila Gabrani, Karolina Eszter Kovács, Katri Pöllänen, Konstantinos Geles, Lamis Yahia Mohamed Elkheir, Lise Tevik Løvseth, Lorena Cudris–Torres, Louiza Ioannidou, Luksa Popovic, Mais M. Aljunaidy, Maria Fatjó Saboya, Marit Christensen, Marlene Santos, Marta Miklikowska, Mateja Erce Paoli, Mathias Schroijen, Mathieu Fusi, Mayya Sundukova, Mete Kurtoğlu, Milica Vukelić, Mirela Adriana Anghelache, Mohamad Nadim Adi, Mümine Barkçin, Nuno Rocha, Nurka Pranjić, Olga Bogolyubova, Paulo Moreira, Paulo Moreira, Pil Maria Saugmann, Rivka Tuval‐Mashiach, Rui Amaral Mendes, Sabina Osmanovic, Sinem ÖZDEDE, Simone Lackner, Stéphanie Gauttier, Szidónia Rusu, T. Lagouri, U. Selvi, Urszula Ziemiańczyk, Xhilda Dhamo
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References: 35

Abstract

The data presented here derives from the Sustainable Working Conditions in Academia survey (STAIRCASE) on researcher mental health. The survey addresses the ongoing mental health crisis in academia by providing comprehensive, multilevel data on researcher well-being and its structural determinants. We employed a cross-sectional between-participant study design to collect data from 4,296 researchers between September 15, 2023, and August 26, 2024. The sample, which primarily includes researchers based in European countries, has a mean age of 38.1 years (SD = 10.7) and consists of 63.7% female participants. Participants provided data on key mental health outcomes - including depression, anxiety, stress, burnout, and well-being - alongside detailed assessments of working conditions, leadership behavior, and organizational characteristics. The dataset facilitates a holistic, multilevel investigation of academic mental health beyond individual risk factors by including the individual, leadership, institutional, and national context. By enabling analyses across hierarchical levels this dataset provides the necessary evidence to identify systemic drivers of mental (ill) health and inform the development of effective, system-wide strategies for meaningful change in academic work environments.

Fields of Study & Subjects

Health disparities and outcomes

Publication details

Journal / source
Journal of Open Psychology Data
Volume
14
Issue
1
Pages
1–1
Publication date
29 May 2026
Language
EN