Open AccessCurrent recommendations/practices for anonymising data from clinical trials in order to make it available for sharing: A scoping review
Author(s) -
Aryelly Rodríguez,
Chris Tuck,
Marshall Dozier,
Stephanie Lewis,
Sandra Eldridge,
Tracy Jackson,
Alastair W. Murray,
Christopher J. Weir
Publication year - 2022
Publication title -
clinical trials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.559
H-Index - 63
eISSN - 1740-7753
pISSN - 1740-7745
DOI - 10.1177/17407745221087469
Subject(s) - identifier , data sharing , clinical trial , identification (biology) , medline , computer science , inclusion (mineral) , data anonymization , thematic analysis , set (abstract data type) , unique identifier , systematic review , data science , medicine , data mining , information retrieval , alternative medicine , internet privacy , psychology , qualitative research , information privacy , pathology , social psychology , social science , botany , sociology , political science , law , biology , programming language
There are increasing pressures for anonymised datasets from clinical trials to be shared across the scientific community, and differing recommendations exist on how to perform anonymisation prior to sharing. We aimed to systematically identify, describe and synthesise existing recommendations for anonymising clinical trial datasets to prepare for data sharing.