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      Identifying the challenges in implementing open science [version 1; peer review: 2 approved]

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          Abstract

          Areas of open science (OS) policy and practice are already relatively well-advanced in several countries and sectors through the initiatives of some governments, funders, philanthropy, researchers and the community. Nevertheless, the current research and innovation system, including in the focus of this report, the life sciences, remains weighted against OS. In October 2017, thought-leaders from across the world gathered at an Open Science Leadership Forum in the Washington DC office of the Bill and Melinda Gates Foundation to share their views on what successful OS looks like. We focused on OS partnerships as this is an emerging model that aims to accelerate science and innovation. These outcomes are captured in a first meeting report: Defining Success in Open Science.

          On several occasions, these conversations turned to the challenges that must be addressed and new policies required to effectively and sustainably advance OS practice. Thereupon, in this report, we describe the concerns raised and what is needed to address them supplemented by our review of the literature, and suggest the stakeholder groups that may be best placed to begin to take action. It emerges that to be successful, OS will require the active engagement of all stakeholders: while the research community must develop research questions, identify partners and networks, policy communities need to create an environment that is supportive of experimentation by removing barriers. This report aims to contribute to ongoing discussions about OS and its implementation. It is also part of a step-wise process to develop and mobilize a toolkit of quantitative and qualitative indicators to assist global stakeholders in implementing high value OS collaborations. Currently in co-development through an open and international process, this set of measures will allow the generation of needed evidence on the influence of OS partnerships on research, innovation, and critical social and economic goals.

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          Most cited references52

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          The Protein Data Bank (PDB; http://www.rcsb.org/pdb/ ) is the single worldwide archive of structural data of biological macromolecules. This paper describes the goals of the PDB, the systems in place for data deposition and access, how to obtain further information, and near-term plans for the future development of the resource.
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            The FAIR Guiding Principles for scientific data management and stewardship

            There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
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              Lost in knowledge translation: time for a map?

              There is confusion and misunderstanding about the concepts of knowledge translation, knowledge transfer, knowledge exchange, research utilization, implementation, diffusion, and dissemination. We review the terms and definitions used to describe the concept of moving knowledge into action. We also offer a conceptual framework for thinking about the process and integrate the roles of knowledge creation and knowledge application. The implications of knowledge translation for continuing education in the health professions include the need to base continuing education on the best available knowledge, the use of educational and other transfer strategies that are known to be effective, and the value of learning about planned-action theories to be better able to understand and influence change in practice settings.
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                Author and article information

                Journal
                MNI Open Res
                MNI Open Res
                MNIOR
                Mni Open Research
                Research Limited
                2515-5059
                12 October 2018
                2018
                : 2
                : 5
                Affiliations
                [1 ]Faculty of Law, Centre for Intellectual Property Policy (CIPP), McGill University, Montreal, Quebec, H3A 1W9, Canada
                [2 ]Tanenbaum Open Science Institute (TOSI), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, H3A 2B4, Canada
                [3 ]Department of Human Genetics, McGill University, Montreal, Quebec, H3A 1B1, Canada
                European Commission, Brussels, Belgium
                Faculty of Law, LawTech Group, University of Trento, Trento, Italy
                University of Trento, Trento, Italy
                Author notes
                Corresponding author: E. Richard Gold ( richard.gold2@ 123456mcgill.ca )

                How to cite this article: Ali-Khan SE, Jean A and Gold ER. Identifying the challenges in implementing open science [version 1; peer review: 2 approved] MNI Open Research 2018, 2:5 ( https://doi.org/10.12688/mniopenres.12805.1)

                Author information
                https://orcid.org/0000-0002-9453-5086
                https://orcid.org/0000-0002-3789-9238
                Article
                MNIOR-02-05
                10.12688/mniopenres.12805.1
                7845503
                33937623
                339a3612-43b1-40d7-806e-3ac23fa974e7
                © 2018 Ali-Khan SE et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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                Categories
                Open Letter

                open science,open access,intellectual property,innovation,collaboration,policy,commercialization,research process

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