CIHR-IMHA Open Science Hub: Practical guidance for health research teams

What is open science?

Key principles
- Transparency: full information reported about each component of the research process.
- Accessibility: free access to information about research methods and outputs.
- Reproducibility: ability to obtain the same research results using the original methods, data, and materials.
Research teams should aim to be as open as possible, and as closed as necessary. For studies in Sensitive Technology Research Areas, research teams should consider applicable policies when practising open science.
Why is open science important?
- Greater impact: Re-use of research methods and data for additional studies amplifies the impact of the original research.
- Faster, more efficient discoveries: Avoiding unnecessary duplication, and re-using and building upon existing methods and data, can reduce costs and accelerate scientific progress.
- Expanded global reach: A broader community of researchers and knowledge users can equitably access research methods and outputs, irrespective of the ability to pay.
- Enhanced trust and integrity of research findings: Independent parties can understand the strengths and limitations of a study, and access the original data set to validate and reproduce the results.
- Better informed policy: Health and research policy can be based on a complete body of research rather than a select subset of results.
CIHR-IMHA open science working group members
With support from CIHR-IMHA, this Open Science Hub was developed by the working group members listed below. The resources are intended for use by the wider IMHA community and beyond.
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Open science research cycle
Open science principles can be implemented throughout the research process.

Overview of key steps and open science goals
Key Step | Open Science Goal |
1. Involve patient partners | Meaningful, transparent, and upfront involvement of patient and community partners in study design, conduct, and mobilization of results |
2. Develop a full study protocol | A comprehensive document developed prior to starting the research that details the rationale, objectives, methods, analyses, ethical considerations, dissemination plans, and administration of the study |
3. Create a data management plan | A comprehensive document that describes how data will be managed across the research lifecycle |
4. Register the study | A publicly available outline of the study topic and planned methods that is posted on an online research registry prior to starting the work |
5. Share the full protocol | Public availability of the full study protocol |
6. Write a comprehensive report | A manuscript that fully reports the methods and results of the completed study |
7. Report the study results | Public availability of research findings |
8. Share data and materials | Research data and materials that are Findable, Accessible, Interoperable, and Reusable (FAIR principles) |
Detailed guidance for practising open science
Step 1: Involve patient partners
To promote meaningful, transparent, and upfront involvement of patient and community partners in research and open science practices.* This includes engagement of patient partners during the planning, conduct, and interpretation of research, as well as the dissemination and mobilization of findings into practice. Patient partners can contribute at all stages of the open science research cycle. As members of the research team, patient partners are different from research participants, who take part in a study by providing data but are not involved in research planning or conduct.
*The term “patient” refers here to patients and their family members, friends, and essential caregivers. Community Partners include patient organizations, grassroots organizations, disease specific organizations, and health and social services that support patients.
2. Benefits of involving patient partners
- Provides important insights and context through lived expertise and experience.
- Encourages open science practices that consider the needs of individuals outside of traditional scientific or academic communities, including the accessibility of study processes and materials for patients.
- Improves feasibility, clinical relevance, and credibility of research by considering the perspectives of patients
- Supports study engagement to improve research participation and dissemination
- Promotes knowledge mobilization, including greater patient and public engagement via patient partner networks.
3. Key steps
a) Engage with available training and resources on “How to do Patient Engagement”. These resources identify best practices for research teams to meaningfully engage patient partners in research.
Key resources for “how to do” patient engagement
Organization | Training/Resources |
CIHR1 | Patient Engagement |
CIHR-IMHA2 | Patient Engagement in Research Training |
CANTRAIN3 | Patient Engagement in Clinical Trials Training |
SPOR4 | Strategy for Patient-Oriented Research – Patient Engagement Framework |
PxP5 | Hub for patient engagement in health research |
1. Canadian Institutes of Health Research; 2. Canadian Institutes of Health Research Institute of Musculoskeletal Health and Arthritis; 3. CANadian Consortium of Clinical Trial TRAINing platform; 4. Strategy for Patient Oriented Research; 5. For Patients, By Patients
b) Develop a plan for patient engagement based on available guidelines (see below). This plan should be outlined in the study protocol.
c) Report patient engagement practices that were implemented in the research. Key reporting guidelines are listed below for different types of research.
Key guidelines & frameworks
Guideline | Resource |
GRIPP-2 | Reporting Checklist for Patient and Public Involvement |
Pre-Clinical Engagement | Engaging Patients as Partners in Preclinical Laboratory Research |
Patient-led Research Integration into Clinical Registries and Research | Patient-Led Research Scorecards |
Patient Focused Medicines Development | Patient Engagement Quality Guidance Tool |
4. Examples
5. Other important resources
Source | Title |
McMaster Public and Patient Engagement | Public and Patient Engagement Evaluation Tool (PPEET) |
Canadian Institutes of Health Research Institute of Musculoskeletal Health (CIHR-IMHA) | Patient Engagement Research Ambassadors (PERA) |
James Lind Alliance | Priority Setting Partnerships |
The BMJ | The BMJ Patient and Public Partnership |
Patient Advisors Network (PAN) | PAN website |
Patient-Oriented Research Curriculum in Child Health (PORCCH) | PORCCH Modules |
Fergusson et al., 2018 | The prevalence of patient engagement in published trials: a systematic review |
Shoemaker et al., 2023 | Matching researchers’ needs and patients’ contributions: practical tips for meaningful patient engagement from the field of rheumatology |
Benizri et al., 2022 | Patient and Family Representation in Randomized Clinical Trials Published in 3 Medical and Surgical Journals: A Systematic Review |
Step 2: Develop a full study protocol
To develop a detailed protocol that addresses the rationale, objectives, methods, statistical analyses, ethical considerations, dissemination plans, and administration of the study
2. Benefits of a comprehensive protocol
- Promotes consistent study conduct by the research team
- Enables appraisal of study validity, feasibility, and ethical rigour by external reviewers
- Provides methodological context to fully interpret and apply the results
- Facilitates reproduction and replication of study results
3. Key steps
a) Search the EQUATOR website to identify a core reporting guideline based on the type of study you are conducting. Reporting guidelines provide a list of minimum items to address in a protocol.
Core protocol guidelines
Study design | Guideline |
Randomized trial | SPIRIT |
Systematic review | PRISMA-P |
b) Search the EQUATOR website to identify any extensions to the core reporting guideline that may be relevant to your study. Extensions provide additional recommendations for a specific protocol component or design.
Key extension guidelines
Protocol component/design | Extension guideline |
Factorial randomized trial | SPIRIT Factorial |
Dose-finding trial | SPIRIT-DEFINE |
N-of-1 trial | SPENT |
Interventions | TIDieR |
Placebo | TIDierR-Placebo |
Artificial intelligence interventions | SPIRIT-AI |
Traditional Chinese medicine | SPIRIT-TCM |
Trial outcomes | SPIRIT-Outcomes |
Patient-reported outcomes | SPIRIT-PRO |
Surrogate outcomes | SPIRIT-Surrogate |
Pathology content | SPIRIT-Path |
Protocol amendments | CONSERVE |
c) Ensure that the study protocol addresses all items defined in the relevant reporting guidelines.
d) If no guideline is available, then provide full details in the protocol to enable understanding and replication of the study. Key sections include the study background, rationale, objectives, design, methods, statistical analyses, ethical considerations, dissemination plans, and administration.
4. Examples
Model examples of protocol content are available in the SPIRIT and PRISMA-P explanatory papers for randomized trials and systematic reviews, respectively.
5. Key resources
Guideline | Title |
EQUATOR Network | Enhancing the QUAlity and Transparency Of health Research |
SPIRIT 2025 | Guideline for protocols of randomized trials |
SPIRIT 2025 | Explanation and Elaboration |
PRISMA-P 2015 | Statement: Preferred reporting items for systematic review and meta-analysis protocols |
PRISMA-P 2015 | Explanation and Elaboration |
World Health Organization | Recommended format for a research protocol |
Step 3: Create a data management plan
To support responsible research data management practices. A data management plan (DMP) is a living document that describes how data will be managed across the research lifecycle (e.g., collected, managed, stored, shared, and preserved). Early development of DMPs can help to support open data sharing practices by ensuring that the necessary permissions are obtained up front. Note that DMPs are useful in formalizing data management processes whether data are intended to be shared openly or not.
2. Benefits of a DMP
- Facilitates a common understanding among team members about how to manage data
- Helps to mitigate potential data problems (e.g., data loss, security breaches, duplication of effort)
- Promotes transparency and trustworthiness in data management processes
- Ensures that data processes align with best practice principles including:
- FAIR (Findable, Accessible, Interoperable, Reusable)
- CARE (Collective Benefit, Authority to Control, Responsibility, Ethics)
- OCAP (Ownership, Control, Access, and Possession)
- Supports compliance with mandates or norms; many funders require or strongly encourage a DMP (e.g., Tri-Agency Research Data Management Policy)
- Helps to prospectively ensure that resources and budgets are in place to support research data management
3. Key steps
a) Consider context: Depending on the research environment and local requirements, there may be formal processes to consider (e.g., institutional process via research ethics boards; funder template requirements).
b) Identify relevant tools: Below is a listing of common tools used in Canadian health research setting to create DMPs:
Source | Title | Description |
Digital Alliance of Canada | DMP Assistant | Provides generic templates based on discipline and research method |
Meta-research and open science program | DMP Templates | Provides design-specific templates for clinical trials, systematic reviews, genomics studies, and preclinical research |
McMaster Database of DMPs | Data Management Plan Database | Provides a searchable database of DMPs in medicine and beyond |
4. Examples
Source | Title |
Digital Research Alliance of Canada | Training Resources |
DMP Assistant | Public DMPs (Canadian Examples) |
McMaster University Data Management Plan database | Data Management Plan Database |
National Institutes of Health (NIH) | Data management and sharing plans |
DMP Tool | Public DMP Plans (US Examples) |
Digital Curation Centre | Example DMPs and guidance (UK Examples) |
DMP Online | Public DMPs (UK examples) |
Meta-research and open science program | DMP Templates |
5. Key resources
Source | Title |
University of Toronto (UofT) | Data Management Plan (DMP) – Planning Checklist |
Portage Network | Brief Guide – Create an Effective Data Management Plan |
Digital Research Alliance of Canada | DMP Assistant Video Tutorial Series |
Government of Canada | Tri-Agency Research Data Management Policy |
Step 4: Register the study
To publicly inform researchers, patients, health care providers, and policymakers about the existence and basic characteristics of a study before it begins. Study registration refers to the public posting a brief outline of the research objectives and planned methods in an online registry prior to starting the work.
2. Benefits of study registration
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- Reduces unnecessary duplication of research
- Facilitates recruitment by informing potential participants about ongoing clinical studies
- Deters and enables identification of selective reporting of data or entire studies
- Enables mapping of global trends in research
- Ensures compliance with federal and international policy or norms implemented by journals, regulators, funders, ethics boards, sponsors, and institutions
- Promotes transparency and trust in research
3. Key steps
a) Identify an appropriate registry based on the study design. Different types of studies have different requirements and processes for registration.
Examples of registries for different study designs
Study design | Registry | Instructions |
Clinical trials | See list of WHO-approved registries: | How to Register Your Study | ClinicalTrials.gov |
Systematic review | PROSPERO | Registering a review on PROSPERO |
Observational studies | Clinicaltrials.gov | Registering observational studies |
All study designs (excluding clinical trials) |
b) Register the study before starting to enroll participants, perform experiments, or collect data. It is not recommended to register a study protocol retrospectively (i.e., after the research begins) because this greatly reduces the benefits of registration. Most often the full registry record is made public right away (e.g., required for clinical trials), but in some instances for other study designs, it can be temporarily embargoed (i.e., not published until certain conditions are met).
4. Examples
Examples of registry records can be found in the registries listed above. The following are examples of monitoring of protocol registration in the Canadian context; efforts are being made to address historical non-compliance to clinical trial registration and subsequent results reporting.
- CIHR’s Monitoring of Clinical Trials Registration and Disclosure 2022 – CIHR
- Evaluating prospective study registration and result reporting of trials conducted in Canada from 2009 to 2019
5. Key resources
Source | Title |
World Health Organization (WHO) | Joint statement on public disclosure of results from clinical trials (WHO) |
Panel on Research Ethics | Tri-Council Policy Statement Ethical Conduct for Research Involving Humans – TCPS 2 (2022) – Chapter 11: Clinical Trials |
International Committee of Journal Editors (ICMJE) Policy | Clinical Trials: Registration |
Canadian Medical Association Journal (CMAJ) | Registering systematic reviews |
BMC | The importance of registering systematic reviews |
Step 5: Share the full protocol
To make a full study protocol available to the public, including the scientific community, patients, and health care providers.
2. Benefits of sharing a protocol
- Prior to study completion: provides details of studies that are planned and ongoing to the public and the research community, including other researchers, health care providers, and potential research participants.
- After study completion: enables transparency, allowing readers to interpret the study findings, appraise the methods, and confirm that the study results presented by the investigators align with the protocol
3. Key steps
a) Share the full protocol online in the following venues:
Venue | Examples | Description |
Registries |
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See study registration for details. Each registry has mandatory fields but not necessarily room for the complete protocol. A URL link out to an external repository (see below) can be used for the full protocol.
Examples |
Journals | Some open access journals will peer review and publish full protocols as standalone manuscripts for a fee. Many journals allow authors to post the full protocol as an online appendix accompanying the main publication of results for completed studies. | |
Repositories | Full protocols can be posted here free of charge; all submissions are provided with DOI link. |
4. Examples
The Eczema Bathing Study – a randomized controlled trial of different bathing practices for eczema |
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Living systematic review of treatments for atopic dermatitis (eczema) |
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Fingolimod and risk of skin cancer among individuals with multiple sclerosis: a population-based cohort study protocol. |
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A study protocol for an observational cohort investigating COGnitive outcomes and WELLness in survivors of critical illness: the COGWELL study |
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Protocol for a systematic review and meta-analysis assessing the effectiveness of deprescribing in falls prevention in older people |
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Step 6: Write a Comprehensive Report
To write a manuscript that fully reports the methods and results of the completed study in sufficient detail to facilitate interpretation, appraisal, and replication. A final report should address the study rationale, objectives, methods, ethical considerations, and study findings in a clear and structured manner — often through tables, figures, and narrative descriptions.
2. Benefits
- Contribution to Knowledge: Results and methods that are fully reported contribute to the collective understanding of a field, allowing researchers to build on one another’s work.
- Better understanding and impact of the study: Accurate and complete reporting allows others to fully understand, critically appraise, and replicate the study, as well as use the data in systematic reviews.
- Informed Decision-Making: Study results provide the evidence base for policy decisions, clinical guidelines, and best practices.
- Transparency: Full reporting of key study elements builds trust in research.
3. Key steps
a) Search the EQUATOR website to identify a core reporting guideline based on the type of study being conducted (see Key Resources below). Reporting guidelines provide a list of minimum items to address in a manuscript.
b) Search the EQUATOR website to identify any extensions to the core reporting guideline that may be relevant to your study. Extensions provide additional recommendations for a specific study design or topic.
c) Ensure that the final report addresses all items defined in the relevant reporting guidelines.
4. Examples of exemplary (published) reports
Study type | Author | Title |
Randomized trial | Castro M, et al., (2014) | Effect of vitamin D3 on asthma treatment failures in adults with symptomatic asthma and lower vitamin D levels: the VIDA randomized clinical trial. |
Observational design | Weill A, et al., (2021) | Use of high dose cyproterone acetate and risk of intracranial meningioma in women: cohort study. |
Meta-analysis | Liu Z, Yang Y, He L, Pang M, Luo C, Liu B, Rong L. (2019) | High-dose methylprednisolone for acute traumatic spinal cord injury: A meta-analysis. |
5. Key resources:
To ensure the quality and transparency of final research reports, many fields have established reporting guidelines that define the key minimum elements to address. The EQUATOR network hosts these guidelines. Below are some key guidelines (note that there are also extensions to the guidelines for specific fields):
Study Type | Resource |
Randomized trials | CONSORT (Consolidated Standards of Reporting Trials) |
Systematic reviews and meta-analyses | PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) |
Observational studies (cohort, case-control, and cross-sectional) | STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) |
Case reports | CARE (Case Report Guidelines) |
Qualitative research | SRQR (Standards for Reporting Qualitative Research) |
Non-randomized evaluations of interventions | TREND (Transparent Reporting of Evaluations with Nonrandomized Designs) |
Diagnostic accuracy studies | STARD (Standards for Reporting Diagnostic Accuracy Studies) |
Health economic evaluations | CHEERS (Consolidated Health Economic Evaluation Reporting Standards) |
Step 7: Report the Study Results
To make research findings and descriptions of study methods and processes publicly available, and distribute those findings to the people who might need or use them.
The fields of knowledge translation and mobilization are well developed and broader than the relatively narrow concept of open findings. The former refer to comprehensive strategies and approaches to ensure that study findings are taken up and incorporated into practice. Herein “open findings” refers to efforts to ensure that findings are made available according to principles of open science.
2. Benefits of open findings
- Increases research impact and citations by making study results promptly available and readily accessible.
- Enables peer review and reproducibility by reporting study processes and their timing, including protocol implementation, study adaptations, protocol deviations, and analyses.
- Adds transparency and accessibility to revisions arising from the peer review and editorial process.
- Offers and maintains equitable, cost-free, public access to study findings.
- Retains research intellectual property where appropriate.
- Indexes and archives the study for immediate and future retrieval and use.
- Enables and advances future research and collaborations.
3. Key steps
a) Incorporate open findings into the study’s knowledge mobilization [1],[2]
b) Consider preprint publication, with awareness of its advantages and disadvantages.[3]
c) Review the institutional and funder policies applicable to the dissemination of study. Some funders require Open Access publication or free access in journals or repositories.
d) Consider the advantages and uncertainties regarding open access publication.[4],[5] Consult the Directory of Open Access Journals to identify appropriate journals.
e) Report the summary results and link to the study publication in the online registry or repository where the study was registered (see ”Register the study”).
[1] Canadian Institutes of Health Research. Section 5.1: Knowledge dissemination and exchange of knowledge. In: Knowledge Mobilization. Available: https://www.cihr-irsc.gc.ca/e/41953.html. Accessed 13 Dec 2024.
[2] Graham ID, Logan J, Harrison MB, Straus SE, Tetroe J, Caswell W, Robinson N. Lost in knowledge translation: time for a map? J Contin Educ Health Prof. 2006 Winter;26(1):13-24. doi: 10.1002/chp.47. PMID: 16557505.
[3] Smart P. The evolution, benefits, and challenges of preprints and their interaction with journals. Science Editing. 2022 Feb 20;9(1):79-84.
[4] Langham-Putrow A, Bakker C, Riegelman A. Is the open access citation advantage real? A systematic review of the citation of open access and subscription-based articles. PloS one. 2021 Jun 23;16(6):e0253129.
[5] Laakso M, Welling P, Bukvova H, Nyman L, Björk BC, Hedlund T. The development of open access journal publishing from 1993 to 2009. PloS one. 2011 Jun 13;6(6):e20961.
4. Key resources
Title | Resource |
1. Preprint server options (non-exhaustive) | |
2. Directory of Open Access Journals | |
3. Predatory journals* | |
4. WHO guidance for reporting clinical trial results in registries |
*Predatory journals are fake or fraudulent publications that claim to be legitimate journals. They often misrepresent their review and publishing process to mislead authors for the purpose of profiting.
Step 8: Share data and materials
To have research datasets and materials findable, accessible, interoperable, and reusable (FAIR principles).
Sharing of research data typically refers to de-identified participant-level data (e.g., measurements, images). Shared materials include additional information needed for reproducibility on datasets, such as statistical code, data dictionary, and protocols. In alignment with recent Sensitive Technology Research and Affiliations of Concern (STRAC) policies, it is important to remember that data and materials should be as open as possible and as closed as necessary. Scientists and patient partner researchers should be aware of these policies and weigh them when considering how to make their data open.
2. Benefits of sharing data and materials
- Promotes greater efficiency and faster advancement of the field by leveraging existing data and analysis procedures.
- Ensures research is reproducible and transparent.
- Amplifies the impact of existing data by enabling additional research questions to be investigated in secondary analyses.
3. Key steps
a) Determine the data and materials that will be shared.
Project Material | Type |
Data |
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Study methods |
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b) Consider what permissions are needed for sharing data (e.g., consent from individual participants, approval by research ethics board) as well as steps needed for deidentification or anonymization. These permissions should be considered in the research planning phase (see “Create a Data Management Plan”).
c) Identify an appropriate venue to share data and materials. This could be an established repository or a resource developed by the research team (e.g., Normative.ca).
Examples of repositories
Name | URL | Type of files | ||||
Data | Code | Documents | Video | Images | ||
Federated Research Data Repository (FRDR) | https://www.frdr-dfdr.ca/repo/ | ✔ | ||||
Open Science Foundation (OSF) | https://osf.io/ | ✔ | ✔ | ✔ | ✔ | ✔ |
Dataverse | https://dataverse.harvard.edu/ | ✔ | ✔ | |||
Zenodo | https://zenodo.org/ | ✔ | ✔ | ✔ | ||
Figshare | https://figshare.com/ | ✔ | ✔ | ✔ | ✔ | |
Github | https://github.com/
* Option for users to also contribute to code |
✔ | ||||
Kaggle | https://www.kaggle.com/ | ✔ | ✔ |
d) Add a description of the process and conditions that govern how the data and materials can be accessed and used (i.e., data access statement), including an appropriate license if relevant. Consider the level of data access to provide (e.g., open, restricted, or controlled access; see ORMIR guidance).
Examples of conditions for accessing data and materials
Option | Conditions |
Openly available | Freely available |
Access upon request | Requester must obtain permission. |
Registration | Registration is required before access |
Creative Common License |
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Agreement | Confidentiality agreement or non-disclosure. |
Embargo | Restricted – Data is placed under embargo for short time. |
e) Ensure the resources are usable by others and presented in a standardized format. ORMIR provides guidelines for sharing code and data.
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- Data: organize in a standardized way (e.g., BIDS format for neuroimaging data; ORMIR-MIDS is in development for MSK imaging data)
- Code/scripts/software: Use a standard coding style (e.g., Style Guide for Python Code) and provide comments/documentation so that users can follow.
f) Upload the data and material files to the repository. Ensure data are appropriately deidentified or anonymized if necessary.
g) Provide a summary of the project in the repository or cite the journal publication and registration record.
h) Assign a DOI or other citation form to ensure that shared data can be cited.
i) Inform others (e.g., in your publication) how the shared data and materials can be accessed.
4. Examples
Author | Title |
Cobey, Kelly et al., | Reproducibility in biomedicine: A cross-sectional survey |
Kuczynski, Michael et al., | ORMIR_XCT: A Python package for high resolution peripheral quantitative computed tomography image processing |
Fuller, Daniel et al., | Is the step count validity of commercial wearable devices improving over time as new devices are released? Analysis of data from a systematic review |
Established musculoskeletal repositories |
5. Other important resources
Source | Title | Description |
Centre for Journalology | Data and Materials | The centre is based in the Methods Centre of the Ottawa Hospital Research Institute and aims to enhance reporting quality of research. |
GitHub | Open Science Resources | A comprehensive list of data repositories, computational science tools, and other open science-related resources created by asoplata on GitHub. |
Open Science Tools Across the Research Lifecycle | Examples of open science tools for protocols, data, code, results, and authoring. | |
UNESCO | Open Science | UNESCO website of open science recommendations, implementation strategies, and tools. |
Government of Canada | Open Science – Helping Make Science Accessible for All Canadians | Government of Canada website with Canadian open science resources. |
Access 2 Perspectives | Mapping Open Science Resources | An interactive map that visualizes 1,000+ Open Science resources from around the world. |
General resources
- UNESCO
- Government of Canada
- Centre for Open Science
- Opensciency GitHub
- FAIR (Findable, Accessible, Interoperable, Reusable) Principles
Tool/Resource: Open Science Toolkit
Tool/Resource: Policy on Sensitive Technology Research and Affiliations of Concern (STRAC)
Tool/Resource: Open Science Framework