Grant Funding Resources
- Funding Sources
- Office of Research Services
- CIHR ResearchNet
- SSHRC Upcoming Deadlines
- NSERC Application Deadlines
- Interagency calendar of agency and interagency funding opportunities
Grant Application Resources
- My Research Application Information
- My Research Applications login site
- CIHR Application Strategy Webinar – January 15, 2014
- Find NIH funding
- National Institute of Allergy and Infectious Disease sample grants
- NIH central resource for grants and funding
- National Cancer Institute sample grants
Publication Resources and Predatory Journals and Conferences
- Deceptive Publishing Guide (University of Toronto Libraries)
- How to avoid deceptive publishers (University of Toronto, Research & Innovation)
- Directory of Open Access Journals lists high quality, open access, peer-reviewed journals
- Predatory Journals and Conferences: CalTech Resources and Himmelfarb Health Sciences Library
- Predatory Conferences: Think, Check, Attend
- Ten simple rules for effective presentation slides, Kristin Naegle, PLoS Medicine
Article Processing Fee Discounts
The University of Toronto Libraries offer eligible UofT authors discounts on article processing fees for some journals.
Integrating Sex and Gender into Research/Equity, Diversity and Inclusion
- Integrating Sex and Gender into research: Women’s College Hospital
- Essential metrics for assessing sex and gender integration in research
- CIHR Sex, Gender and Health Resources
- CIHR Sex and Gender Research and Methods
- CIHR Meet the Methods Series: Methods for prospectively and retrospectively incorporating gender-related variables in clinical research
- University of Toronto’s site on EDI in Research & Innovation
- American Medical Association guidance on reporting race and ethnicity in medial and scientific journals
- Doing better: eleven ways to improve the integration of sex and gender in health research proposals, Robin Mason, Research Integrity and Peer Review 2020; 5, article number 15.
- New Frontiers in Research Fund: Best practices in equity, diversity, and inclusion in research
- SSHRC examples of EDI in research practice and guiding questions
- NSERC Equity, diversity and inclusion considerations at each stage of the research process
- NSERC Alliance Grants: Equity, diversity and inclusion in your training plan
- Centre for Gender and Sexual Health Equity: Gender and Sex Research Toolkit
- Sex and Gender Equity in Research (SAGER) Guidelines
- Guidance on the Use of Standards for Race-based and Indigenous Identity Data Collection and Health Reporting in Canada, Canadian Institute for Health Information
- Statistics Canada Gender, Diversity and Inclusion Statistics includes disaggregated data and tested and trusted statistical standards
- NVivo Software Licenses for Faculty, Staff and Students
- Covidence University of Toronto Libraries Institutional License
- ProQuest RefWorks is a citation management tool available to current students, staff, and faculty at the University of Toronto; UTORID log in required
- REDCap at University of Toronto. Lawrence S. Bloomberg Faculty of Nursing Faculty, Staff or Students who want access to REDCap should set up UofT’s multifactor authorization (after reading the info page, go to the “Self-Enrollment” tab) and then complete and return the REDCap access form to email@example.com.
- REDCap Resources and training videos from the Centre for Research Innovation and Support (UTORID log in may be required).
- The U of T Map and Data Library offers on-site access to software such as geolocation/geospatial software (ArcGIS), statistical software (STATA, SPSS, and SAS), text and data mining tools, data visualization tools and offers support and tutorials.
Research Data Management
- Research Data Management Tips (University of Toronto Libraries)
- DMP Assistant – developed by the Portage Network to aid in writing data management plan
- Centre for Research and Innovation Support Spotlight on Working Securely
- University of Toronto Data Classification and FAQs
- University of Toronto Guidelines for Protecting Information
- University of Toronto Information Management: What to use when
Data Security and Privacy
- Data Classification and FAQs (University of Toronto Levels of Data)
- Data Security Standards for Personally Identifiable and Other Confidential Data in Research
- Government of Canada: Safeguarding your research
Research Office Newsletter
- Centre for Research Innovation and Support – sign up for the newsletter, check the calendar for research-related events and workshops, and many other resources
- CIHR Patient Engagement Training Modules
Statistical Consulting at the Lawrence S. Bloomberg Faculty of Nursing
The Research Data Analyst with the Office of Research & External Relations is available to offer methodological and statistical advice and consultation to all Lawrence S. Bloomberg Faculty of Nursing research faculty and graduate students through scheduled appointments.
Proposal Development – Methodological and Statistical Plan
The Office of Research & External Relations will work with researchers throughout the proposal cycle. Our goal is to improve the overall success rates of grant applications. Please contact the Research Data Analyst well in advance of the grant competition deadline if you require assistance (minimum 2 weeks). This service is offered at no cost to our faculty members for grants where funds will be held either partially or in full at the LSBFON. Statistical support for proposal development for grants that will be held at affiliated institutions will be provided on a cost-recovery model: the fee is $85/hour. Rates may increase annually on April 1. Please note: Support for proposal development for grants that will be held at LSBFON will be prioritized.
Research proposal support includes:
- Providing expertise on research designs and methods
- Reviewing grant proposals and providing methodological and statistical feedback
- Collaborating in the development and/or writing of grant proposals, including:
- Sample size and power calculations
- Development of data collection and analysis procedures
- Writing up proposed statistical methods
Study Implementation, Data Analysis & Dissemination
Methodological and analytic support for funded research can be arranged on a fee-for-service basis with the Research Data Analyst. Assistance with statistical analysis of post-award research is not available without funding. We operate using a cost-recovery model. The fee for post-award support for projects where funds are held at LSBFON is $70.00 per hour. The fee for post-award support for projects where funds are held at affiliated hospitals is $85.00 per hour. Rates may increase annually on April 1.
- Database design, setup, management, and support
- Supervision of the data cleaning and data manipulation activities of Research Staff
- Statistical analysis using SAS, SPSS, Mplus and other software
- Interpretation of results
- Preparation of tables and figures
- Writing of methods and results sections for manuscripts and project reports
- Consultation on knowledge translation and exchange strategies
- Designing a dissemination plan
Please reach out to the Research Data Analyst about any additional analytic activities, if occurring separately from those mentioned above.
Graduate Student Research Support
The Research Data Analyst is available to provide methodological and analytic support for LSBFON graduate students undertaking thesis and dissertation research. It is appropriate for the Research Data Analyst to discuss with a student alternative forms of analysis that may be suitable for their research; to render advice about which of several forms of analysis might be best; to help a student correct a computer-program setup; or to help a student interpret the output from a statistical computer program. The Research Data Analyst will not:
- make decisions about how a student should analyze their data;
- analyze the student’s data; or
- write computer program setups for the student.
Because coordination of advice is often important, we expect that a student’s supervisory committee is aware of the help provided to the student by the Research Data Analyst. This service is offered at no cost to LSBFON graduate students.
To schedule an appointment, please complete the Statistical Consulting Request Form at: https://redcap.link/biostats
Steps to Involve the Research Data Analyst
- Get the Research Data Analyst involved early! Complete the Statistical Consulting Request Form https://redcap.link/biostats.
- Plan an Initial Meeting. Decide upon the Research Data Analyst’s specific responsibilities and other expectations. Discuss budgetary needs and timelines. The Research Data Analyst will provide you with a cost-estimate based on the expected scope of work.
- Maintain Communication. Ensure that you continue communicating with the Research Data Analyst through the grant writing process and during all phases of the research. Once the grant has been submitted, please ensure that you provide the Data Analyst with a final version of the proposal. Once funded, ensure that the Data Analyst is aware of any changes that may affect the study design, sample selection, data collection etc.
Authorship on Papers: Authorship on papers should be discussed early. Authorship is based on the following International Committee of Medical Journal Editors (ICMJE) criteria, where contributors who meet all four of the criteria below should be listed as an author. Authorship is also merited for a Data Analyst who guides the analyses carried out by the researcher or their support staff/trainees.
- Substantial contributions to the conception or design of the work; or the acquisition, analysis or interpretation of data for the work; and
- Drafting the work or revising it critically from the view point of important intellectual content; and
- Final approval of the version to be published; and
- Agreement to be accountable for all aspects of the work in ensuring that questions raised to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
Other Budgetary Considerations: The need for specialized software should be discussed early on with the Data Analyst. In some cases, workshops or additional training may be needed to gain statistical tools needed to carry out the required analyses.