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Data Science with Real World Data in Pharma: What Does the “R” in FINER Criteria Stand For?

By: Author Alex Lim

Posted on  - Last updated:

Categories Data Science with Real World Data in Pharma

Discover what the “R” in FINER criteria represents and how Feasible, Interesting, Novel, Ethical, and Relevant principles shape impactful research questions.

Question

According to Hulley, a research question should be formulated keeping in mind the FINER (feasible, interesting, novel, ethical, and rxxx). What does the R stands for:

A. Rigorous
B. Respectable
C. Redundant
D. Relevant
E. Relatable
F. Readable

Answer

D. Relevant

Explanation

Explanation of FINER Criteria

The FINER framework, developed by Hulley et al., provides guidelines for formulating robust research questions. The acronym stands for:

  1. Feasible: Ensures the study is practical in scope, time, and resources.
  2. Interesting: Engages researchers and addresses gaps in knowledge.
  3. Novel: Introduces new hypotheses or improves existing methodologies.
  4. Ethical: Complies with safety, consent, and institutional review standards.
  5. Relevant (R): Ensures the research contributes meaningfully to scientific knowledge, clinical practice, or public health.

Why “Relevant” Matters

The “R” in FINER emphasizes that research must:

  • Address current challenges in clinical or laboratory settings.
  • Generate actionable insights to guide policy or future studies.
  • Align with real-world needs, such as regional health burdens.

For example, a study on chronic dermatophytosis in India would be “relevant” because it tackles a widespread local issue, offering practical solutions for clinicians.

Eliminating Other Options

Rigorous, Respectable, Redundant, Relatable, and Readable are not part of the FINER framework. These terms describe aspects of study design or communication but do not align with the original criteria.

By prioritizing relevance, researchers ensure their work has tangible impacts, fulfilling the FINER goal of advancing knowledge and practice.

Data Science with Real World Data in Pharma certification exam assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Data Science with Real World Data in Pharma exam and earn Data Science with Real World Data in Pharma certification.