Draft Tri-Agency Statement of Principles on Digital Data Management

1. Preamble

The Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC), and the Social Sciences and Humanities Research Council of Canada (SSHRC) (“the Agencies”) are federal granting agencies that promote and support research, research training, knowledge transfer and innovation within Canada. 

As publicly-funded organizations, the Agencies are strong advocates for making the results of the research they fund as accessible as possible.  In promoting access to research results, they aspire to advance knowledge, avoid research duplication and encourage reuse, maximize research benefits to Canadians, and showcase the accomplishments of Canadian researchers.  These aspirations align with the Government of Canada’s commitment to open science, as described in Seizing Canada’s Moment: Moving Forward in Science, Technology and Innovation (2014).

Research data – recorded material that validates research findings and results, and enables reuse or replication[1] – are increasingly created or translated into digital formats.  When properly managed and responsibly shared, these digital resources enable researchers to ask new questions, pursue novel research programmes, test alternative hypotheses, deploy innovative methodologies and collaborate across geographic and disciplinary boundaries.  The ability to store, access, reuse and build upon digital research data has become critical to the advancement of science, supports innovative solutions to economic and social challenges, and holds tremendous potential for Canada’s productivity, competitiveness and quality of life.      

Governments and research funders across the globe are becoming increasingly aware of the value of digital research data, the importance of fostering reuse of digital research data, and the need for policies to facilitate excellence in data stewardship.  Canada has joined many other countries at the forefront of this movement, as exemplified by its support for the OECD Declaration on Access to Research Data from Public Funding (2004), commitment to the Open Government Declaration (2011), and approval of the G8 Science Ministers Statement (2013). 

The Government of Canada’s Action Plan on Open Government (2014) aims to maximize access to the results of federally-funded research to encourage greater collaboration and engagement with the scientific community, the private sector, and the public.  The action plan includes a commitment to adopt policies to support effective data stewardship.    

The Agencies believe that research data collected with the use of public funds belong to the fullest extent possible in the public domain, available for reuse by others, and they strongly support the creation of a robust and efficient environment for data stewardship in Canada and internationally.  They have  encouraged data stewardship through SSHRC’s Research Data Archiving Policy (1990), the Tri-Agency Framework: Responsible Conduct of Research (2011), and data sharing provisions for CIHR grant holders in the Tri-Agency Open Access Policy on Publications (2015), and they will continue to  promote excellence in data management practices within the Canadian research community. 

This statement of principles outlines the Agencies’ overarching expectations regarding research data management, and the responsibilities of researchers, research communities, research institutions and research funders in meeting these expectations.

2. Objective

The objective of this statement of principles is to promote excellence in digital data management practices and data stewardship in Agency-funded research. It complements and builds upon existing Agency policies and serves as a guide to assist researchers, research communities and research institutions in adhering to current and future Agency requirements pertaining to research data management.

3. Expectations

Data Management Planning

Data management planning is necessary at all stages of the research project lifecycle, from design and inception to completion.  

Data management plans are key elements of the data management planning process. They describe how data is collected, formatted, preserved and shared, as well as how existing datasets will be used and what new data will be created. They also assist researchers in determining the costs, benefits and challenges of managing data.

Constraints and obligations

Research data must be managed in conformity with all commercial, legal and ethical obligations.

Data management should be performed in accordance with the requirements of the Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans – 2nd edition.  The statement notably provides guidance on data management aspects of research involving humans such as consent, privacy and confidentiality, indigenous people’s rights, secondary use of data and data linkage.  Data management should also be performed in accordance with the requirements of the Tri-Agency Framework: Responsible Conduct of Research.

Adherence to Standards

Data should be managed in accordance with the most appropriate and relevant standards and best practices, recognizing that these are in a state of rapid evolution. 

Collection and Storage

Data should be collected and stored throughout the research project using software and formats that ensure secure storage and enable preservation of and access to the data well beyond the duration of the research project. 


All research data should be accompanied by metadata that accord with community best practice to enable future users to access, understand and reuse the data. 

Standards are diverse and vary across disciplines, but metadata generally state who created the data and when, but may also include information on how the data were created, their quality, accuracy and precision, as well as other features necessary to facilitate understanding and reuse.   

Preservation, Retention and Sharing

All research data resulting from agency funding should normally be preserved in a publicly accessible, secure and curated repository or other platform for discovery and reuse by others.  

To determine whether data should be shared and preserved, researchers should consider the data needed to validate research findings and results, support replication and reuse, and consider the potential benefit to their own fields of research, fields other than their own and society at large. This rationale is normally described as part of a data management plan. The retention period for data should be determined in accordance with community best practices and relevant policies.


Data should be shared as early as possible in the research process when they are considered to be informative and of appropriate quality. 

Data release can be staged as research progresses, starting with metadata, but data should be shared no later than upon the publication of results.  Where possible, data should be linked to relevant publications. A defined period of exclusive use of data for primary research is reasonable in some cases.

Acknowledgement and Citation

Data are significant and legitimate products of research and must be recognized as such.  

All users of research data should acknowledge, through citation and any other practices or standards relevant to their discipline(s), the source(s) of the data they are using and respect the terms and conditions under which these data were accessed.  Researchers who responsibly and effectively share their data should be recognized by funders, their academic institutions and users benefiting from the re-use of the data.

Efficient and Cost Effective

Data management should be efficient and cost-effective.  Not all data may need to be shared or preserved – costs and benefits of doing so should be considered in the data management planning process.

4. Responsibilities

As per the roles they have traditionally occupied within the research system, researchers, research communities, research institutions and research funders each have responsibilities in ensuring a robust and open research data environment in Canada.  This section outlines their responsibilities in meeting the expectations described in Section 3.

Responsibilities of researchers include:

  • Incorporating data management best practices into their research, and developing data management plans to guide the responsible collection, formatting, preservation and sharing of their data throughout the entire lifecycle of a research project and beyond; 
  • Following the requirements of applicable institutional policies and professional or disciplinary standards;
  • Acknowledge and cite datasets that contribute to their research;
  • Staying abreast of standards and expectations of their disciplinary community.

Responsibilities of research communities include:

  • Developing data management standards, or promoting existing standards, and working collaboratively to review and improve these standards;
  • Recognizing data as an important research output and fostering excellence in data management within their research community;
  • Identifying and encouraging the use of specific repositories and platforms.

Responsibilities of research institutions include:

  • Providing their researchers with an environment that enables world class data stewardship practices, as well as delivering, or supporting access to, repositories or other platforms that securely preserve, curate and provide continued access to research data;
  • Monitoring compliance of researcher data management practices with legal, ethical and commercial considerations in the Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans – 2ndedition, the Tri-Agency Framework: Responsible Conduct of Research, and other relevant policies;
  • Providing their affiliated researchers with guidance to properly manage their data in accordance with the principles outlined above and community best practice, including the development of data management plans;
  • Recognizing data as an important research output and fostering excellence in data management;
  • Promoting the importance of data management to researchers, staff and students;
  • Developing their own data management policies and ensuring that these policies are in accordance with the principles outlined above, provincial and national laws, and can accommodate the rapidly evolving research communities’ best practices.

Responsibilities of research funders include:

  • Developing policies and requirements that facilitate and recognize responsible data management, in accordance with the principles outlined above;
  • Providing applicants with clear information and guidance with regard to fulfilling data management requirements;
  • Recognizing data as an important research output;
  • Promoting the importance of excellent data management;
  • Where appropriate, providing peer reviewers with guidance and developing assessment material for including data management considerations in the application assessment process.

[1] Adapted from Research Data Canada and US Department of Energy definitions.