Gather and Analyze your Research Data

This section provides best practices for active organization, handling and maintenance of the data created throughout the research process. Data lifecycle goes from planning, collection, processing and data analysis.

Planning

General

  • Standard Operating Procedure: DFM Research Data Management SOP
  • Template: DFM Data Management Plan
  • Presentation: Data Management for Tri-Agency Grants by Rebecca Clark, Research Knowledge and Skill Builder [Slides | Video]
  • Presentation: Managing your research data: an introduction to DMP Assistant by Jay Brodeur and Isaac Pratt, Research Knowledge and Skill Builder [Slides | Video]
  • Presentation: Data visualization in research by Subhanya Sivajothi, Research Knowledge and Skill Builder [Slides | Video | Libguide]

Quantitative

  • Presentation: Frontend and Backend Database Development by Steve Dragos, Research Knowledge and Skill Builder [Video | Slides]
  • Examples: DMP exemplars

Qualitative

Data collection – Development and Design

Piloting research instruments

Quantitative

  • Tip sheet: Piloting surveys
  • Webpage: How to pretest and pilot a survey questionnaire – tools4dev
  • Presentation: Socio-demographic data collection: Current evidence and practice in primary care research by Jennifer Lawson, Dawn Elston and Neha Arora, Research Knowledge and Skill Builder [Slides | Video]
  • Presentation: Race in Research by Dr. Anjali Menezes and Neha Arora, Research Knowledge and Skill Builder [Video]

Qualitative

Data Collection

Quantitative

Qualitative

Data Collection at McMaster Family Health Team

Processing and data analysis

Software

Quantitative

Qualitative

Recommended
Additional

*DFM faculty members can access full text articles from the McMaster Health Sciences Library using your MacID. To request your MacID, or if you’re having issues, please email Faculty Relations at fmappts@mcmaster.ca.

Connect with Us

For support, feedback, or to suggest a resource, email pcrc@mcmaster.ca