Research data management: Grant and institutional requirements

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. 

Most research funding agencies now require that prospective recipients submit a plan for managing research data and that data will be published (if apropriate) following the conclusion of a research project.

Canadian grant agencies' requirements

The Canadian Tri-Agency Research Data Management Policy is currently in place, with some portions being phased in over the next few years. The Tri-Agencies "... believe that research data collected through the use of public funds should be responsibly and securely managed and be, where ethical, legal and commercial obligations allow, available for reuse by others." 

  • Data management plans: An initial set of funding opportunities are subject to research data management requirements, including submitting a data management plan (DMP). Contact SFU Institutional Strategic Awards for the latest list of funding opportunities with such requirements. 
  • Data deposit: After reviewing the institutional RDM strategies, and in line with the readiness of the Canadian research community, the agencies will phase in the deposit requirement.

For further information about the policy, see our page of Frequently Asked Questions.

In addition to the Tri-Agency Research Data Management Policy, the Canadian Institutes of Health Research have already required that certain types of data (e.g., bioinformatics and atomic data) must be made openly available online immediately upon publication of research results. 

Projects funded by Genome Canada have long required sharing of data and resources in a "timely fashion" with no restrictions, with appropriate exceptions.

Simon Fraser University:

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 SFU's Research Data Management Strategy.

International funding requirements: examples

National Institutes of Health (NIH)

While respecting research participant privacy and confidentiality, research funded by the National Institutes of Health (NIH) is expected to be made as accessible as possible. The NIH Policy for Data Management and Sharing requires NIH funded researchers to prospectively submit a plan outlining how scientific data will be managed and shared.

National Science Foundation (NSF)

Data Management Plans are a requirement for all research grant proposals sent to the National Science Foundation (NSF).

Michael Smith Foundation for Health Research (MSFHR)

The Michael Smith Foundation for Health Research requires award recipients and their host institutions to comply with ethical and research policies, including the Tri-Agency Statement of Principles on Digital Data Management.

Data produced that relates to the Novel Coronavirus (COVID-19) as a result of funding must be shared in line with the Joint statement on sharing research data and findings relevant to the novel coronavirus (nCoV) outbreak.

Horizon 2020 (Research funding in the European Commission)

Applicable research projects supported by Horizon 2020 (the Research Funding Instrument of the European Commission) will be asked to complete a data management plan describing how research data will be findable, accessible, interoperable and reusable (FAIR).

The Wellcome Trust (UK)

Projects funded by the health research charity Wellcome Trust based in the United Kingdom require that research outputs (which include data) be made available in a timely and responsible way to maximize the benefit to society.  

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 publishing all supporting datasets openly 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.