Data Sharing Principles to Promote Open Science

Event Description

The FAIR principles, developed by the neuroscience community with the objective of promoting open science, are outlined by the International Neuroinformatics Coordinating Facility as ensuring data is findable, accessible, interoperable, and reusable.

These principles aim to enhance the ability of machines to find and use data, allowing individual researchers to cite data sets to inform more advanced studies — in short, how machines can solve the problem of having too much data to sort, in no single format.

Representing tool development initiatives, publishing, and data science, speakers from academia and industry across the globe come together in this workshop to present solutions for sharing, publishing, and collaborating in neuroscience.

They’ll cover the principles in detail, data standards and repositories, ethical and legal issues such as General Data Protection Regulation in the European Union, and Brain Imaging Data Structure, a way of organizing neuroimaging and behavioral data. From the publishing perspective, they’ll also propose questions to consider when publishing a paper, such as how to share your data and what information to make available.

To learn more about the best practices for data sharing, watch workshops on FAIR in neurotrauma and improving reproducibility in neuroscience.



Linda Lanyon
Linda Lanyon, PhD, CEng, MBCS, CITP
Linda Lanyon is executive director of the International Neuroinformatics Coordinating Facility, an independent organization that promotes the field of neuroinformatics and aims to advance data reuse and reproducibility in global brain research. Prior to entering the field of neuroinformatics, Lanyon’s main research interests lay in computational modeling and neuroimaging investigation of visual attention. She received her undergraduate honors degree in computing and informatics and her PhD in computational neuroscience from Plymouth University, in the United Kingdom. She completed her postdoctoral fellowship in computational and empirical neuroscience at The University of British Columbia, in Canada.
Maryann Martone
Maryann Martone, PhD
Maryann Martone is a professor emerita at the University of California, San Diego, where she maintains an active laboratory. She started her career as a neuroanatomist, specializing in light and electron microscopy, but her research for the past 15 years has focused on neuroinformatics. She led the Neuroscience Information Framework (NIF), a national project to establish a uniform resource description framework for neuroscience, as well as the NIDDK Information Network (dknet). She is the editor-in-chief of Brain and Behavior, an open-access journal, and is on the editorial board of Nature Scientific Data, Frontiers in Neuroinformatics, and the Journal of Neuroinformatics. She additionally served as the director of biological sciences for Hypothesis, a technology nonprofit developing an open annotation layer for the web, and founded SciCrunch, a technology startup based on technologies developed by NIF and dkNET.
Gustav Nilsonne
Gustav Nilsonne, MD, PhD
Gustav Nilsonne is an assistant professor at the Karolinska Institute and Stockholm University, in Sweden. Nilsonne’s main research interests lie in neuroscience (sleep and diurnal rhythms) as well as in meta-science (open data, reproducibility, and research synthesis). He received his MD and his PhD from the Karolinska Institute. He was a visiting scholar at Stanford University in 2017.
Kirstie Whitaker
Kirstie Whitaker, PhD
Kirstie Whitaker is a research fellow at the Alan Turing Institute and senior research associate in the department of psychiatry at the University of Cambridge, in the United Kingdom. Whitaker's main research interests lie in understanding adolescent brain development using structural MRI, why the teenage years are critical to the emergence of mental health disorders, and how to better incentivize open science and reproducible research. She received her BSc in physics from the University of Bristol, her MSc in medical physics from the University of British Columbia, and her PhD in neuroscience from the University of California, Berkeley. She completed her postdoctoral training at the University of Cambridge.
Teon Brooks
Teon Brooks, PhD
Teon Brooks is a data scientist for Mozilla. He is a core contributor to the MNE Project, a collection of open-source data processing and analysis tools for MEG/EEG/iEEG. Brooks' main interests lie in neuroinformatics and software tool development. He received his bachelor of science in psychology and linguistics from the University of North Carolina at Chapel Hill and his master’s and PhD in cognition and perception from New York University. He completed a fellowship at Stanford University.
Michaela Torkar
Michaela Torkar, PhD
Michaela Torkar is publishing director at F1000, where she is responsible for the set-up and development of new open science publishing platforms, which F1000 runs on behalf of funders such as the Wellcome Trust, the Bill & Melinda Gates Foundation, the Montreal Neurological Institut,e and other research organizations. She previously was editorial director at the open access publisher BioMed Central. She received her undergraduate degree in biology from the Ludwig Maximilians University of Munich, in Germany, and her PhD in immunology from the University of Cambridge, in the United Kingdom.

Sparking Global Conversations Around Neuroscience