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Updated: Sep 21, 2025

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
Published on: February 19, 2021
Meta-research studies should improve and evaluate their own data sharing practices
Ioana A Cristea1, Florian Naudet2, Laura Caquelin2
1Department of Brain and Behavioral Sciences, University of Pavia, Piazza Botta 11, 27100 Pavia, Italy; IRCCS Mondino Foundation, Pavia, Italy.
Abstract:
Data sharing is gradually becoming a requirement across all fields of science, owing to its key benefits in verifying the reproducibility of findings and reusing existent data for new purposes. Although metaresearch studies are complex, time-consuming, and hinge on the availability of data produced and curated by others, there has been little focus on how they make their own data available. This is in stark contrast to the heightened attention data sharing has received in clinical research. Yet, as secondary data users par excellence, metaresearchers are ethically bound to both improving and evaluating data sharing practices and correctly sharing their own data. We contrast particularities of data sharing in metaresearch and clinical research, such as benefits, barriers, and inadequate and potentially pervasive sharing practices. We conclude with an array of concrete and tailored recommendations for improvement.
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