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Related Concept Videos

Ethics in Research01:56

Ethics in Research

Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Methods of Documentation V: CBE01:23

Methods of Documentation V: CBE

Charting by Exception, or CBE, is a method of documentation used in healthcare, particularly in nursing, that focuses on documenting only significant or abnormal findings rather than recording every detail. This approach aims to streamline the documentation process, improve efficiency, and ensure that healthcare providers can quickly identify deviations from normalcy in patient assessments.
In CBE, healthcare professionals establish predefined standards of practice that define what constitutes...
Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
Guidelines for Writing Outcome01:11

Guidelines for Writing Outcome

When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care evaluation by...

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Published on: August 4, 2023

Highlighting Rigor, Reproducibility, and Transparency of Research in an Academic CV.

Mario Malički1,2,3, Zach Chandler4, Steven N Goodman1,2,3,5,6

  • 1Stanford Program on Research Rigor and Reproducibility (SPORR), Stanford University, Stanford, California, USA.

Clinical and Translational Science
|May 22, 2026
PubMed
Summary
This summary is machine-generated.

A new curriculum vitae (CV) template from Stanford

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Area of Science:

  • Academic Research
  • Medical Education
  • Scholarly Publishing

Background:

  • The curriculum vitae (CV) is a critical document for academic advancement.
  • Current CVs often fail to reflect institutional values regarding research integrity.
  • Few institutions evaluate candidates based on rigor, reproducibility, and transparency practices.

Purpose of the Study:

  • To develop an innovative CV template for Stanford's School of Medicine.
  • To enable evaluation of researchers based on their research conduct, not solely outcomes.
  • To make research rigor, reproducibility, and transparency practices visible and valued.

Main Methods:

  • Introduced new CV sections for detailing research practices.
  • Included requirements for listing availability of protocols, analysis plans, code, and data.
  • Mandated reporting of clinical trial registration and results, peer review details, and persistent identifiers (e.g., ORCID iD).

Main Results:

  • The new CV template allows researchers to showcase their commitment to research integrity.
  • It facilitates the assessment of how research is conducted, aligning with institutional values.
  • The template serves as a model for other institutions to adopt.

Conclusions:

  • The developed CV template enhances the visibility of research rigor, reproducibility, and transparency.
  • This initiative promotes a culture that values robust research methodologies.
  • Future advancements in scholarly metadata can further streamline the reporting process.