What are funders' requirements?
Public research funding organizations are placing an increasing emphasis on research data management policies and practices, both within Canada and internationally.
The Canadian Federal government has made a commitment to Open Science in its Open Government 2016-2018 plan, which outlines steps to make the science that supports policy decisions more transparent and accessible to the general public.
Canadian grant agencies' requirements
The Tri-Agency Statement of Principles on Digital Data Management (2016) reiterate that "research data collected with the use of public funds belong, to the fullest extent possible, in the public domain and available for reuse by others.' The Statement outlines some general data management requirements, and more specific policies are forthcoming.
The Social Sciences and Humanities Research Council (SSHRC) requires that all "research data collected with the use of SSHRC funds must be preserved and made available for use by others within a reasonable period of time." SSHRC considers "a reasonable period" to be within two years of the completion of the research project for which the data was collected.
The Canadian Institutes of Health Research similarly requires the deposit of non-sensitive data within 12 months of publication.
Projects funded by Genome Canada must share data and resources in a "timely fashion" with no restrictions, with appropriate exceptions.
Simon Fraser University is committed to making accessible and preserving the products of research with the broadest possible community, including other scholars, practitioners, policymakers, and the public at large. To this end, research data will be managed in accordance with the principles outlined in the draft SFU Research Data Management principles.
International funding agencies' requirements
Journal publishers' requirements
Instructions for authors or author guidelines often specify data sharing policies of each publication. Examples include Nature, Springer Nature, PLOS, and Wiley. These requirements typically include making all supporting datasets openly available without restrictions when the article is published. A growing number of journal policies related to data and open science are being evaluated along specific Transparency and Openness Promotion (TOP) Guidelines created by the Center for Open Science.