Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Drug Regulation01:25

Drug Regulation

1.6K
Drug regulation encompasses the management of drug usage by evaluating its safety and efficacy through assessments conducted by regulatory authorities. Regrettably, the history of drug regulation is marred by several catastrophic events. One such incident is the Elixir Sulfanilamide tragedy, in which the toxic compound diethyl glycol was included in a sweet-tasting medication, leading to numerous fatalities. This event prompted the enactment of the Food, Drug, and Cosmetic Act in 1938. Under...
1.6K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

156
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
156
Clinical Trials: Overview01:11

Clinical Trials: Overview

3.1K
Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
3.1K
Preclinical Development: Overview01:28

Preclinical Development: Overview

4.5K
Preclinical development consists of a series of tests that ensure the safety and efficacy of a new therapeutic compound before it is tested in humans. There are four main phases to this process. First, safety pharmacology tests are conducted to ensure the drug does not produce any acutely harmful effects. These tests examine parameters such as bronchoconstriction, cardiac dysrhythmias, blood pressure changes, and ataxia. Next, preliminary toxicological testing is performed to determine the...
4.5K
Drug Control Governance: Regulatory Bodies and Their Impact01:03

Drug Control Governance: Regulatory Bodies and Their Impact

204
Drug control governance involves the oversight and regulation of pharmaceuticals to ensure their safety and efficacy while preventing illegal drug use and trafficking. Regulatory bodies, including the US Food and Drug Administration (FDA) and the European Union's European Medicines Agency (EMA), play a central role in this process. These agencies evaluate the safety and efficacy of drugs before they can be marketed. They fund clinical trials and assess the benefits and risks associated with...
204
Drug Discovery: Overview01:26

Drug Discovery: Overview

8.2K
Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
8.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Five views on the foundations of data science.

Patterns (New York, N.Y.)·2026
Same author

Practitioner Acceptability of Virtual Reality Therapy in Mental Health Care: Evidence From Greece.

Brain and behavior·2026
Same author

Open and sustainable AI: challenges, opportunities and the road ahead in the life sciences.

Nature methods·2026
Same author

RDMkit: A research data management toolkit for life sciences.

Patterns (New York, N.Y.)·2025
Same author

The future of research software is the future of research.

Patterns (New York, N.Y.)·2025
Same author

Determinants of mistrust in digital health research and approaches to address them among Muslim ethnic minorities living in the United Kingdom: a qualitative study.

International journal for equity in health·2025

Related Experiment Video

Updated: Aug 12, 2025

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

9.7K

A FAIR-Decide framework for pharmaceutical R&D: FAIR data cost-benefit assessment.

Ebtisam Alharbi1, Rigina Skeva2, Nick Juty2

  • 1College of Computer and Information Systems, Umm Al-Qura University, Mecca, Saudi Arabia.

Drug Discovery Today
|January 30, 2023
PubMed
Summary

The FAIR-Decide framework aids pharmaceutical companies in deciding whether to make existing research data findable, accessible, interoperable, and reusable (FAIR). It uses business analysis to weigh the costs against the benefits of data FAIRification.

Keywords:
FAIR dataFAIRificationcost–benefitdecision-making processpharmaceutical R&D

More Related Videos

Author Spotlight: Advancing Biotherapeutic Mass Calculation by Introducing mAbScale, a Python-Based Desktop Application
04:24

Author Spotlight: Advancing Biotherapeutic Mass Calculation by Introducing mAbScale, a Python-Based Desktop Application

Published on: June 16, 2023

1.6K
Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

6.1K

Related Experiment Videos

Last Updated: Aug 12, 2025

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

9.7K
Author Spotlight: Advancing Biotherapeutic Mass Calculation by Introducing mAbScale, a Python-Based Desktop Application
04:24

Author Spotlight: Advancing Biotherapeutic Mass Calculation by Introducing mAbScale, a Python-Based Desktop Application

Published on: June 16, 2023

1.6K
Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

6.1K

Area of Science:

  • Pharmaceutical Research & Development
  • Data Management
  • Scientific Data Stewardship

Background:

  • The FAIR principles enhance scientific data utility but implementing them in pharmaceutical R&D is challenging and costly.
  • Effective data management is crucial for maximizing the value of pharmaceutical research assets.

Purpose of the Study:

  • To introduce the FAIR-Decide framework for guiding decisions on retrospective FAIRification of datasets.
  • To support pharmaceutical R&D companies in their data management strategies.

Main Methods:

  • Utilizes business analysis techniques to estimate costs and benefits.
  • Focuses on decision-making for retrospective FAIRification of existing datasets.

Main Results:

  • Provides a structured approach to evaluating the financial and strategic implications of FAIRification.
  • Enables informed decision-making regarding data management investments.

Conclusions:

  • The FAIR-Decide framework offers a practical solution for the pharmaceutical industry to navigate the complexities of data FAIRification.
  • Integration of FAIR-Decide can optimize data management strategies and enhance the value derived from research data assets.