Sharing data to better understand one of the world’s most significant shared experiences : An overview of the openly accessible longitudinal COVID-19 Psychological Research Consortium (C19PRC) Study data. / McBride, Orla; Butter, Sarah; Hartman, Todd; Murphy, Jamie; Hyland, Philip; Shevlin, Mark; Gibson-Miller, Jilly; Levita, Liat; Mason, Liam; Martinez, Anton; McKay, Ryan; Stocks, Thomas VA; Bennett, Kate; Vallières, Frédérique; Karatzias, Thanos; Valiente, Carmen; Vazquez, Carmelo; Contreras, Alba; Bertamini, Marco; Panzero, Anna; Bruno, Giovanni; Bentall, Richard.

In: International Journal of Population Data Science, Vol. 5, No. 4, 17.02.2022.

Research output: Contribution to journalArticlepeer-review

  • Orla McBride
  • Sarah Butter
  • Todd Hartman
  • Jamie Murphy
  • Philip Hyland
  • Mark Shevlin
  • Jilly Gibson-Miller
  • Liat Levita
  • Liam Mason
  • Anton Martinez
  • Thomas VA Stocks
  • Kate Bennett
  • Frédérique Vallières
  • Thanos Karatzias
  • Carmen Valiente
  • Carmelo Vazquez
  • Alba Contreras
  • Marco Bertamini
  • Anna Panzero
  • Giovanni Bruno
  • Richard Bentall


This paper serves to alert IJPDS readers to the availability of a major new longitudinal survey data resource,the COVID-19 Psychological Research Consortium (C19PRC) Study, whichis being released for secondary use via the Open Science Framework. The C19PRC Study is a rich and detailed dataset that provides a convenient and valuable foundation from which to study the social, political, and health status of European adults during an unprecedented time of change as a direct result of the COVID-19 pandemic and Brexit. Here, we provide an overview of the C19PRCStudy design, with the purpose of stimulating interest about the study among social scientists and maximising use of this resource.
Original languageEnglish
JournalInternational Journal of Population Data Science
Issue number4
Publication statusPublished - 17 Feb 2022
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

ID: 43800093