Basic Course in Biomedical Research: Core Topics and Skills
A comprehensive basic course in biomedical research must cover eight fundamental skill areas: literature review methodology, hypothesis formulation with statistical power considerations, research protocol development including ethical considerations, data collection and management, statistical analysis techniques, scientific presentation and publication, risk-benefit analysis, and research ethics including data integrity and conflict of interest management. 1
Essential Core Competencies
Literature and Knowledge Assessment
- Conduct comprehensive and systematic literature searches to determine the exact state of knowledge before undertaking new investigation 1
- Develop skills in summarizing and interpreting published studies, including identifying potential sources of bias and methodological flaws 1
- Learn to identify gaps in knowledge within a research problem that merit investigation 1
Hypothesis Development and Study Design
- Formulate testable hypotheses with specific, measurable goals ensuring that statistical power is achievable 1
- Understand strengths and weaknesses of different clinical research study designs (observational, experimental, prospective, retrospective) 1
- Develop research protocols that specify inclusion/exclusion criteria, outcome measures, power analysis, and data analysis plans 1
Protocol Development and Implementation
- Master the complete research plan development including study design, appropriate controls, subject recruitment, ethical considerations, informed consent procedures, privacy protection, data collection modes, and institutional approval processes 1
- Learn grant writing skills for intramural and extramural funding applications 1
- Understand how to determine resources needed and implement a research plan effectively 1
Data Management and Analysis
- Prepare routine data forms and maintain accurate research records 1
- Develop analytical methods and procedural skills, particularly for handling artifacts, missing data, outliers, and statistical inference 1
- Apply appropriate statistical analyses to research data, understanding basic statistical methods used in biomedical research 1
- Learn to assess, analyze, and replicate data to establish support or refutation of hypotheses 1
Research Ethics and Regulatory Compliance
- Master research ethics principles including data acquisition/management, data protection, conflicts of interest, publication practices, authorship, and scientific conduct 1
- Understand governmental and industry standard regulatory requirements in study design 1
- Learn to identify ethical challenges and potential conflicts of interest in research 1
- Complete all institutional review board requirements and understand principles of informed consent and assent 1, 2
Scientific Communication
- Develop skills in both oral and written presentation of results, recognizing that no investigation is complete until reported as a full paper in peer-reviewed journals 1
- Learn to prepare abstracts for submission to national meetings and present findings at scientific conferences 1
- Master manuscript preparation for publication in peer-reviewed journals 1
Risk-Benefit Assessment
- Conduct risk-benefit analysis regarding both individual subject and societal implications 1
- Understand practical costs of prediction errors and implications of research outcomes 1
Institutional Requirements and Support
Training Environment
- Training must occur in institutions with adequate staff and facilities for research, with access to both clinical divisions and basic biomedical science departments 1
- Essential institutional support includes expertise in epidemiological methods, outcome evaluation, biostatistics, and biomedical ethics 1
- Access to research administration overseeing human subject protection committees and grant proposal assistance is mandatory 1
- Free electronic access to library systems with full-text articles and journals is required 1
Faculty and Mentorship
- Faculty must include multiple members with proven investigative skill demonstrated by published original research in peer-reviewed journals 1
- At least one full-time faculty member should demonstrate skill as a clinical investigator 1
- Adequate mentorship with passionate mentors who can provide project support is essential 1
Training Duration and Levels
Tiered Training Approach
The American College of Cardiology guidelines describe three research training levels 1:
- Level 1 (Clinical Practice Focus): 6-12 months (up to 18-24 months) devoted to specific projects, which can be undertaken concurrently with clinical training 1
- Level 2 (Teaching and Clinical Investigation): Minimum 18-24 months dedicated to clinical investigation 1
- Level 3 (Basic or Advanced Research): Substantive commitment requiring extended dedicated research time 1
Contemporary Research Standards
Reproducibility and Rigor
- Understand principles of experimental design including appropriately powered studies, validated reference standards, and dose/concentration response curves 1
- Learn methodology for cross-study analysis and meta-analyses of research findings 1
- Master data analysis, reporting, sharing, and publication standards to ensure reproducibility 1
Specialized Methodologies
- For machine learning and predictive modeling: understand data preprocessing, validation strategies, and appropriate metrics for model performance 1
- For clinical trials: participate in the full range of activities from design through analysis and publication 1
Common Pitfalls to Avoid
- Insufficient preparation in biological, epidemiological, and physical sciences before beginning research training 1
- Choosing projects without adequate institutional resources or expertise available 1
- Accepting published data uncritically without understanding study limitations 1
- Failing to complete investigations through to peer-reviewed publication 1
- Inadequate attention to ethical principles and regulatory compliance 2, 3, 4, 5