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CONP Ethics Toolkit consisting of: Model prospective consent clauses Retrospective consent filter De-identification information and tools This consent toolkit is the product of extended discussions and careful drafting that considers both Canadian and international ethical frameworks and research practice. In adapting this consent toolkit for your own research needs, we encourage you to mention to your research ethics board that your consent materials are modeled after those created by the CONP Ethics and Governance Committee. The Committee's members include internationally recognized experts in research ethics, neuroethics, data governance, and law: Trudo Lemmens (Chair), Alexander Bernier (Manager), Ann Cavoukian, John Clarkson, Jason Karamchandani, Roland Nadler, Dylan Roskams-Edris, and Walter Stewart. Further feedback was graciously provided from members of the CONP community, in particular Patrick Bermudez, Marcel Farrés Franch, Jessica Royer, Robert Zatorre, and past Committee Members Bartha Maria Knoppers, Lindsay Green Noble, and Judy Illes. GitHub source: https://github.com/CONP-PCNO/Ethics_and_Data_Governance
neuroscience, neuroethics, open science, human subjects research regulation, privacy, law, ethics
neuroscience, neuroethics, open science, human subjects research regulation, privacy, law, ethics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 27 | |
| downloads | 14 |

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