Implementing FAIR Workflows: A Proof of Concept Study in the Field of Consciousness
Duration and Start Date
36 mo., September 1, 2021
DataCite, Max Planck Institute for Empirical Aesthetics (MPIEA), Australian Research Data Commons, California Digital Library, ChronosHub, Dryad, and Stanford University
Implementing FAIR Workflows is aimed at building and implementing an exemplar FAIR and Open research workflow based on the reality of an entire research lifecycle. The project will produce a practical and easy to use guide for other scientists to improve the FAIRness of their own research.
This project was made possible through the support of a grant from Templeton World Charity Foundation, Inc. The opinions expressed in this publication are those of the author(s) and do not necessarily reflect the views of Templeton World Charity Foundation, Inc.
FAIR Workflows Project Lead
Xiaoli leads the Implementing FAIR Workflows project, working on building exemplar FAIR practices throughout the research lifecycle with the project team and partners. She is also responsible for the outreach effort in the APAC region while co-chairing the DataCite APAC Expert Group. She holds an MLIS from Syracuse University and is working towards her Ph.D. in the same field from the University of Sheffield. Before joining DataCite Xiaoli worked at CERN in parallel with her Ph.D. research on Open Science research practices among high-energy physicists.