Accelerating Translational Research through Open Science: The Neuro Experiment
Open Access
- 7 December 2016
- journal article
- Published by Public Library of Science (PLoS) in PLoS Biology
- Vol. 14 (12), e2001259
- https://doi.org/10.1371/journal.pbio.2001259
Abstract
Translational research is often afflicted by a fundamental problem: a limited understanding of disease mechanisms prevents effective targeting of new treatments. Seeking to accelerate research advances and reimagine its role in the community, the Montreal Neurological Institute (Neuro) announced in the spring of 2016 that it is launching a five-year experiment during which it will adopt Open Science-open data, open materials, and no patenting-across the institution. The experiment seeks to examine two hypotheses. The first is whether the Neuro's Open Science initiative will attract new private partners. The second hypothesis is that the Neuro's institution-based approach will draw companies to the Montreal region, where the Neuro is based, leading to the creation of a local knowledge hub. This article explores why these hypotheses are likely to be true and describes the Neuro's approach to exploring them.This publication has 12 references indexed in Scilit:
- Perspective: Science is still too closedNature, 2016
- Rare genetic variants and schizophreniaNature Neuroscience, 2016
- Understanding disease mechanisms with models of signaling pathway activitiesBMC Systems Biology, 2014
- Places, Spaces and the Dynamics of Creativity: The Video Game Industry in MontrealRegional Studies, 2013
- What makes companies pursue an Open Science strategy?Research Policy, 2013
- Harnessing Omics Sciences, Population Databases, and Open Innovation Models for Theranostics‐Guided Drug Discovery and DevelopmentDrug Development Research, 2012
- Knowledge arbitrage in global pharma: a synthetic view of absorptive capacity and open innovationR&D Management, 2010
- Lessons from 60 years of pharmaceutical innovationNature Reviews Drug Discovery, 2009
- Entpreprenerial Universities and Technology Transfer: A Conceptual Framework for Understanding Knowledge-Based Economic DevelopmentThe Journal of Technology Transfer, 2005
- “Sticky Information” and the Locus of Problem Solving: Implications for InnovationManagement Science, 1994