Table of Contents 

  1. Overview 
  2. Background 
  3. Research Data and Importance of Research Data Management 
  4. Scope
  5. Oversight and Review 
  6. Institutional Support
  7. Stakeholders
  8. Ethical Consideration
  9. Indigenous Data Considerations
  10. Other Relevant Strategies and Policies
  11. Acronyms & Abbreviations
  12. Definitions 
  13. Looking Ahead

  

Introduction 

1. Overview 

The federal research funding agencies (Tri-Agency: Canadian Institutes of Health Research (CIHR), Natural Sciences and Engineering Research Council of Canada (NSERC), Social Sciences and Humanities Research Council (SSHRC)) released a Research Data Management Policy in March 2021. Each postsecondary institution and research hospital eligible to administer CIHR, NSERC, or SSHRC funds is required to develop an institutional strategy for Research Data Management (RDM), and notify the agencies when it has been completed. Additionally, for specific funding opportunities, the agencies require data management plans (DMPs) to be submitted to the appropriate agency at the time of application. Furthermore, grant recipients are required to deposit into a digital repository all digital research data, metadata, and code that directly support the research conclusions in journal publications and pre-prints that arise from agency-supported research. 

Lawson Research Institute (Lawson) of St. Joseph’s Health Care London and London Health Sciences Centre Research Institute (LHSCRI) recognize the impact of funding on research, the research data management (RDM) requirements and obligations implemented by funding agencies, and the importance of RDM. We are fully engaged in developing and implementing the institutional RDM strategy. 

2. Background 

The Tri-agency is committed to funding research that is conducted to the highest professional and disciplinary standards, is performed ethically, makes effective use of public funds, is verifiable and replicable, and that makes results as accessible as possible. The agencies support the FAIR (Findable, Accessible, Interoperable, and Reusable) guiding principles and accordingly advocate an increased ability for research data to be archived, found, and responsibly reused to fuel discoveries and innovation across multiple disciplines and geographical borders. Research data management is, therefore, a necessary component of achieving research excellence. 

3. Research Data and Importance of Research Data Management 

Research data is the data used as evidence to support and validate research findings or results and used as input for analysis. Research data is derived from source data. This can include information extracted from original sources such as clinical systems, experiments, simulations, etc. It is to be noted that any data containing identifiable personal information must remain private and confidential. 

Research Data Management is the organization and maintenance of research data throughout the entire research project lifecycle. This includes setting up protocols before initiating data collection, and then collecting, tracking, and creating backups of the data during study execution, and eventually, data sharing, archiving, and publishing upon project completion. This is not a new concept. In fact, Lawson and LHSCRI researchers have been employing these processes and procedures and performing RDM in varying capacities. However, with the new policy requirements, obligations for regulatory compliance, concerns for privacy and security, initiatives for data sharing and reproducibility, a push for the FAIR principles, the open science movement, and a need to elevate the availability of Canadian data on the world stage, it is imperative for Lawson and LHSCRI to implement and support RDM best practices and procedures. 

4. Scope 

The Lawson and LHSCRI Institutional RDM Strategy is a concise and directive document that outlines how Lawson and LHSCRI will increase capacity to support and foster a culture of effective research data management. This institutional strategy is a collaboration between internal and external key stakeholders. It will support Lawson and LHSCRI researchers in managing their data throughout the research lifecycle using appropriate data stewardship and data management practices. 

This strategy applies to all research data generated and collected by Lawson and LHSCRI researchers, research trainees, and research staff, whether the research was funded by the Tri-agency or other funders, or self-funded. 

This strategy does not propose the creation of new or amendment of existing hospital policies. 

5. Oversight and Review 

The RDM Advisory Committee supports establishing and implementing the overall institutional strategy. Drafting of the Institutional RDM Strategy is being led by the RDM Project Team, comprising Research Informatics, Grants Development, Quality Assurance, and Research Administration team members. 

The RDM Advisory Committee, comprising key institutional stakeholders, acts as a resource to the RDM Project Team on the planning, implementation, and ongoing evaluation of the strategy. These stakeholders include the Chief Operating Officer of the Office of Research Services, representatives from the hospital Privacy Offices, Information Technology Services, LHSC Data Governance, Research Ethics Boards, Western Libraries, Approvals, Grants Development, Quality Assurance, Research Directors, research teams, and research trainees. The RDM project team consults with other stakeholders and community partners as needed to support the RDM rights of all stakeholders involved in research. 

The Advisory Committee further understands that as the research landscape advances, the RDM requirements and obligations implemented by Tri-agency and other funders may change; as RDM progress is made as outlined in this strategy, the resources and priorities will also change, necessitating re-evaluation of RDM maturity and revision of this RDM strategy. Hence, the strategy will be considered a living document that will be reviewed on an annual basis by the Advisory Committee. 

6. Institutional Support 

Lawson and LHSCRI aim to meet RDM requirements and implement RDM best practices and processes to fully support researchers and research communities. Through the implementation of the Institutional RDM Strategy, Lawson and LHSCRI will provide sustainable support and solutions by documenting existing support and processes, formalizing responsibilities, and expressing and promoting RDM best practices. Lawson and LHSCRI aim to support researchers in establishing and implementing data management practices consistent with ethical, legal, and commercial obligations. 

6.1 Awareness-Raising Activities 

The Lawson and LHSCRI research community was engaged through various means to raise awareness about the Tri-Agency RDM policy requirements and RDM. 

The objective is to assist the broader research community in understanding the institutions’ current and planned RDM capacity, challenges, and needs. Therefore, to facilitate an ongoing dialogue and collaboration on the advancement of RDM on a national level, Lawson and LHSCRI have created webpages dedicated to RDM on external-facing website. 

6.2 Hire and Train Staff 

Lawson and LHSCRI have research data management expertise and skills within different departments. However, a centralized and integrated approach to support RDM is required. Infrastructure support for large data sets can also generate some human resources issues. New research data management approaches also require the upkeep of skills, techniques, processes, and solutions. Accordingly, appropriate knowledge and skill development will be needed for the team to support RDM. 

6.3 Promote and Support RDM Practices 

Lawson and LHSCRI will continue to support researchers and their staff by encouraging a data management culture and an environment that promotes and facilitates research data management. Research Informatics and Grants Development teams will provide Data Management Plans and data deposit consultation services. 

6.4 Access to RDM Tools, Resources, and Infrastructure 

6.4.1 Information Technology (IT) Infrastructure 

Lawson and LHSCRI’s IT infrastructure is managed and supported by the hospitals’ Information Technology Services (ITS) department. 

6.4.2 Support Services 

Researchers have access to many support services through different departments. 

6.4.3 RDM Tools 

Several tools are available to our researchers to support their RDM requirements. 

Canadian Repository Options 

International Repository Options 

7. Stakeholders 

Several key stakeholders were identified internally and externally from the organizations. The RDM Advisory Committee was formed in March 2022 to include relevant stakeholders who are directly impacted by the implementation of the Institutional Strategy. This committee included stakeholders from Executive Administration, Research Informatics, Grants Development, and representatives from LHSC and St. Joseph’s Privacy Offices, Information Technology Services, LHSC Data Governance, Western University’s Health Sciences Research Ethics Board, Western Libraries, Approvals, Quality Assurance, Research Directors, Research teams, and a Postdoctoral Fellow. The Advisory Committee meets monthly to help raise awareness, assess institutional readiness, and serve as a communication medium. Appropriate delivery mechanisms for outreach were implemented to engage the research community. The input and feedback from the research community were solicited through surveys, webinars, online RDM sites, email, ad hoc meetings, etc. 

Perceiving the significance of collaboration with external stakeholders and community partners, the RDM Project Team has been reaching out to Indigenous Cancer Care Unit Clinical Institutes & Quality Programs and the EDI team at LHSC, and the Knowledge Exchange, Impact & EDI-D in Research office and Indigenous Health Lab at Western University for finding a common intersection of work and continued consultation and consideration concerning RDM training and processes. 

8. Ethical Considerations 

Lawson and LHSCRI support researchers in adopting and complying with ethical, legal, and commercial obligations through various means. Research oversight and compliance are overseen by Western University’s Health Sciences Research Ethics Board (HSREB), Clinical Trials Ontario (CTO), and Ontario Cancer Research Ethics Board (OCREB). They also oversee the ethical conduct of research studies involving human participants. Additionally, the Tri-Agency’s Tri-Council Policy Statement: Ethical Conduct Involving Humans – TCPS2 (2018) provides guidance to researchers conducting research involving human participants. 

The Quality Assurance and Education Program (QAEP), which is a part of the Quality Management System (QMS), facilitates research compliance through Standard Operating Procedures, Guidance Documents, Lunch and Learns, Clinical Research Training, Quality Assurance Reviews as well as providing research support to investigators, research teams and other stakeholders on the regulations, policies and best practices governing clinical research. 

Research compliance with legal and commercial obligations falls under the Research Approval Systems (Contracts) and WORLDiscoveries. Our Contracts team is responsible for drafting, reviewing, negotiating, and coordinating all contracts for research under Lawson and LHSCRI’s auspices. 

9. Indigenous Data Considerations 

Lawson and LHSCRI intend to support researchers involved with Indigenous research and ensure that Tri-Agency RDM policy requirements are addressed. We recognize that there are many Indigenous communities, peoples, cultures, languages, and protocols and therefore no singular approach can be applied. We also acknowledge the validity of Indigenous epistemologies and ontologies. 

We recognize, support, and respect Indigenous data sovereignty and their right to own, control, access, possess, and protect the information collected from these communities, based on free, prior, and informed consent. We are committed to respect and adhere to nation and community specific protocols by following research data management principles developed and approved by these communities, collectives and organizations such as the First Nations Information Governance Centre’s OCAP (Ownership, Control, Access, Possession) principles, the Inuit Tapiriit Kanatami National Inuit Strategy on Research, and Global Indigenous Data Alliance’s CARE principles. These govern data collection, ownership, protection, use and sharing to encourage inclusive development and innovation, and equitable outcomes. We will ensure that the DMPs are co-developed with these communities, collectives, and organizations, in line with RDM principles and DMP formats that they accept. We acknowledge that they have the right to repatriate the data and this could result in exceptions to the data deposit requirement. 

Our researchers are also guided through TCPS 2 (2018) – Chapter 9: Research Involving the First Nations, Inuit and Métis Peoples of Canada to ensure that research involving Indigenous peoples is postulated on respectful relationships that encourage collaboration and engagement between researchers and participants. It is a policy that serves as a framework for the ethical conduct of research involving Indigenous peoples in Canada. 

It is our institutional responsibility to build capacity for doing this work in an effective way. We are working with the Indigenous Cancer Care Unit Clinical Institutes & Quality Programs and the EDI team at LHSC. We are also collaborating with the Office of Equity, Diversity, and Inclusion (EDI) and the Indigenous Health Lab at Western University. 

We aim to strengthen Indigenous research capacity by facilitating and promoting equitable access and support for Indigenous students and researchers. Our scientists usually have Western faculty appointments and/or have employment as clinicians with LHSC and/or St. Joseph’s. We support Indigenous researchers with these affiliations and encourage non-Indigenous researchers to co-develop new models for Indigenous research and research training with Indigenous communities. This may include co-developing research questions, agendas, respectful relations, and impactful solutions built on trust, respect, and mutual interests. Indigenous researchers and leadership will help non-Indigenous researchers understand Indigenous perspectives, needs, concerns and aspirations for Indigenous research. Indigenous researchers can help foster positive collaboration with Indigenous partners, collect organic responses from Indigenous participants and provide an Indigenous research lens on the collected information and analyzed data. 

These efforts will help us create research data management guidelines for our researchers involved in Indigenous research, assuring the best practices reflect the Four R’s – Respect, Relevance, Reciprocity, and Responsibility

10. Other Relevant Strategies and Policies 

Lawson and LHSCRI are governed by several LHSC and St. Joseph’s policies, processes, and procedures that are relevant to various aspects of RDM. 

The Lawson and LHSCRI RDM Strategy is also intended to align with external requirements and guidance, including provincial, federal, and international laws. 

The pertinent policies and documents that were reviewed are listed below. 

10.1 London Health Sciences Centre Corporate Policies and Procedures 

Acceptable Use of Information Technology Resources 
Breach of Privacy 
Privacy 
Confidentiality 
Electronic Mail (Email) Use 
Acceptable Use of Information Technology Resources 
Records Retention and Disposition 
Remote Access to Computer Network Resources 
Security of Confidential Information and Information Technology Systems 
Use of Cellular Phones and Other Wireless Devices 
Use of Personal Health Information for Research, Education, and Quality Improvement 
Invention
Approval for Clinical Research 

10.2 St. Joseph’s Health Care London Policies and Procedures

Acceptable Use of Information Technology Resources
Access and Disclosure of Personal Health Information
Breach of Patient Privacy
Clinical Trials Involving Investigational Drugs
Confidentiality
Disclosure of Patient Information, Samples, and/or Belongings to Law Enforcement Agents
Electronic Mail (Email) Use
Freedom of Information and Protection of Privacy Act (FIPPA)
Health Record Management
Interpretation and Translation Services
Patient Requests to Restrict the Use and Disclosure of Personal Health Information
Privacy
Records Retention and Destruction
Remote Access to Computer Network Resources
Security of Confidential Information and Information Technology Systems
Use of Personal Health Information for Research, Education, and Quality Assurance

10.3 External Strategies/Policies 

CARE Principles for Indigenous Data Governance (2020), Global Indigenous Data Alliance 
CIHR Research Data Management Learning Module (2022), Government of Canada 
Guidance on Depositing Existing Data in Public Repositories (2021), Government of Canada 
National Inuit Strategy on Research (2018), Inuit Tapiriit Kanatami 
Principles of Ethical Métis Research (2010), Métis Centre, National Aboriginal Health Organization 
Principles respecting the Government of Canada’s relationship with Indigenous peoples (2021), Government of Canada 
Research Involving First Nations, Inuit, and Métis Peoples of Canada (2022), CIHR 
Research Involving the First Nations, Inuit and Métis Peoples of Canada: Chapter 9 – TCPS 2 (2018), Government of Canada 
The FAIR Guiding Principles for scientific data management and stewardship (2016), Wilkinson et al. Sci Data 
The First Nations Principles of OCAP (2022), First Nations Information Governance Centre 
First Nations and Higher Education: The Four R’s – Respect, Relevance, Reciprocity, Responsibility (2001), Kirkness, V. J. and R. Barnhardt 
Tri-Agency Framework: Responsible Conduct of Research (2021), Government of Canada 
Tri-Agency Research Data Management Policy (2021), Government of Canada 
Tri-Agency Statement of Principles on Digital Data Management (2021), Government of Canada 
Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans – TCPS 2 (2018), Government of Canada 

11. Acronyms & Abbreviations 

Acronym/Term Definition 
CARE Collective Benefit, Authority to Control, Responsibility, and Ethics 
CIHR Canadian Institutes of Health Research 
DMP Data Management Plan 
EDI Equity, Diversity, and Inclusion 
FAIR Findable, Accessible, Interoperable, and Reusable 
HSREB Health Sciences Research Ethics Board 
ITS Information Technology Services 
LawsonLawson Research Institute
LHSC London Health Sciences Centre 
LHSCRILondon Health Sciences Centre Research Institute
MAMIC Maturity Assessment Model in Canada 
NSERC Natural Sciences and Engineering Research Council of Canada 
OCAP Ownership, Control, Access, and Possession 
OCREB Ontario Cancer Research Ethics Board 
QAEP Quality Assurance and Education Program 
QMS Quality Management System 
RDM Research Data Management 
SSHRC Social Sciences and Humanities Research Council 
St. Joseph’s St. Joseph’s Health Care London 
Tri-Agency CIHR, NSERC, SSHRC 
WORLDiscoveriesWORLDiscoveries is the Business Development arm of London’s extensive research network and the bridge between local invention and global industry.

12. Definitions 

The definitions below are as per the Tri-Agency Research Data Management Policy, Frequently Asked Questions, and Social Sciences and Humanities Research Council Definition of Terms, 2021, Government of Canada. 

Data deposit 

“Data deposit” refers to when the research data collected as part of a research project is transferred to a research data repository. The repository should have easily accessible policies describing deposit and user licenses, access control, preservation procedures, storage and backup practices, and sustainability and succession plans. The deposit of research data into appropriate repositories supports ongoing data-retention and, where appropriate, access to the data. 

Data management plan 

A data management plan (DMP) is a living document, typically associated with an individual research project or program that consists of the practices, processes, and strategies that pertain to a set of specified topics related to data management and curation. DMPs should be modified throughout a research project to reflect changes in project design, methods, or other considerations. 

Indigenous research 

Research in any field or discipline that is conducted by, grounded in or engaged with First Nations, Inuit, Métis or other Indigenous nations, communities, societies or individuals, and their wisdom, cultures, experiences or knowledge systems, as expressed in their dynamic forms, past and present. Indigenous research can embrace the intellectual, physical, emotional and/or spiritual dimensions of knowledge in creative and interconnected relationships with people, places and the natural environment. 

Metadata 

“Metadata” are data about data—data that define and describe the characteristics of other data. Accurate and relevant metadata are essential for making research data findable. A principle to help determine what information should be included in metadata is the open archival information system model criterion that the information be “independently understandable.” 

Research data 

Research data are data that are used as primary sources to support technical or scientific enquiry, research, scholarship, or creative practice, and that are used as evidence in the research process and/or are commonly accepted in the research community as necessary to validate research findings and results. Research data may be experimental data, observational data, operational data, third party data, public sector data, monitoring data, processed data, or repurposed data. What is considered relevant research data is often highly contextual and determining what counts as such should be guided by disciplinary norms. 

Research data management 

Research data management (RDM) refers to the processes applied through the lifecycle of a research project to guide the collection, documentation, storage, sharing, and preservation of research data. 

13. Looking Ahead 

The Lawson and LHSCRI Research Data Management Strategy is a living document that will be reviewed and shared on an annual basis. It will be revised and updated as the institutional and researchers’ research data management requirements, practices, and understanding advance. 

In the coming years, Lawson and LHSCRI will: 

It has been clear that implementation of the institutional RDM strategy requires collaboration on a broader scale. To that end, the RDM Project Team will build additional meaningful connections and identify subject matter experts for future RDM projects. Furthermore, the RDM project team has established a Community of Practice to manage RDM requirements in a sustainable method. This Community of Practice comprises key stakeholders from different groups and aims to harness the organizational expertise from groups such as Ethics, Privacy, QA, Indigenous wellness group, research investigators, research coordinators, and research personnel.