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

Principles of Disease Surveillance01:26

Principles of Disease Surveillance

Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
Overview of Minitab01:11

Overview of Minitab

Minitab is a statistical software package designed for data analysis. With its origins in the 1970s and development at Pennsylvania State University, Minitab has grown significantly in its capabilities and applications. It plays a crucial role in quality management projects, especially in Six Sigma initiatives, by offering tools for process improvement and statistical analysis. Minitab's significance lies in its user-friendly interface, making complex statistical analysis accessible to users...
Statgraphics01:10

Statgraphics

Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...

You might also read

Related Articles

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

Sort by
Same author

The Latest on Intrahepatic Cholestasis of Pregnancy - Update 2026.

Geburtshilfe und Frauenheilkunde·2026
Same author

Call for preserving specialized knowledge and contributions of the CAT to advancing ATMPs in Europe.

Cytotherapy·2025
Same author

Patient-reported outcomes in patients with hematologic malignancies treated with CAR T-cell therapy in Europe.

Blood advances·2025
Same author

Design specifications for biomedical virtual twins in engineered adoptive cellular immunotherapies.

NPJ digital medicine·2025
Same author

European survey on CAR T-Cell analytical methods from apheresis to post-infusion immunomonitoring.

Frontiers in immunology·2025
Same author

Inhibitors of malaria parasite cyclic nucleotide phosphodiesterases block asexual blood-stage development and mosquito transmission.

Science advances·2024
Same journal

Functional Comparison of Neuronal Cells Differentiated from Human Induced Pluripotent Stem Cell-Derived Neural Stem Cells under Different Oxygen and Medium Conditions.

Journal of biomolecular screening·2017
Same journal

Development of an In Vitro Model to Screen CYP1B1-Targeted Anticancer Prodrugs.

Journal of biomolecular screening·2017
Same journal

Erratum.

Journal of biomolecular screening·2017
Same journal

High-Throughput Platform for Identifying Molecular Factors Involved in Phenotypic Stabilization of Primary Human Hepatocytes In Vitro.

Journal of biomolecular screening·2016
Same journal

One-Step Seeding of Neural Stem Cells with Vitronectin-Supplemented Medium for High-Throughput Screening Assays.

Journal of biomolecular screening·2016
Same journal

Matrix-Based Activity Pattern Classification as a Novel Method for the Characterization of Enzyme Inhibitors Derived from High-Throughput Screening.

Journal of biomolecular screening·2016
See all related articles

Related Experiment Video

Updated: Jun 21, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

A primer on screening data management.

Mike Palmer1, Andreas Kremer, Georg C Terstappen

  • 1Siena Biotech S.p.A., Siena, Italy. mpalmer@sienabiotech.it

Journal of Biomolecular Screening
|August 1, 2009
PubMed
Summary
This summary is machine-generated.

Managing drug discovery screening data requires careful planning and attention to detail. This guide offers practical advice for newcomers on optimizing screening data management and metadata for better querying and reporting.

More Related Videos

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Related Experiment Videos

Last Updated: Jun 21, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Area of Science:

  • Drug Discovery
  • Biotechnology
  • Computational Chemistry

Background:

  • Drug discovery screening campaigns generate vast amounts of data, posing significant challenges for startups and academic labs.
  • Existing off-the-shelf software solutions require meticulous setup for effective data capture and utilization.
  • A lack of practical guidance exacerbates data management difficulties for new entrants in the field.

Purpose of the Study:

  • To provide practical advice for managing drug discovery screening data.
  • To highlight the importance of metadata in data querying, pivoting, and reporting.
  • To offer insights for both new and established data management practitioners.

Main Methods:

  • The authors share practical experiences using a commercially available screening data management software suite.
  • Discussion includes organizational aspects of data management.
  • Examples illustrate the impact of metadata form and content on data usability.

Main Results:

  • Effective management of screening data is crucial for successful drug discovery.
  • Metadata quality significantly impacts the ability to query, pivot, and report results.
  • Careful attention to detail in data organization and metadata is essential for data integrity.

Conclusions:

  • Newcomers to screening data management can benefit from practical, experience-based guidance.
  • Optimizing metadata is key to maximizing the value of screening data.
  • Established practitioners can also find value in reflecting on their data management practices.