Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same author

[The PEDIADOL databank].

Soins. Gynecologie, obstetrique, puericulture, pediatrie·1992

Same author

CANCERNET: a European network for cancer literature data bank.

Health communications and informatics·1979

Same author

Analysis of the structure of cancer literature based on SABIR-C. III. A survey of the distribution of the world oncological publications from 1969-1974.

Zeitschrift fur Krebsforschung und klinische Onkologie. Cancer research and clinical oncology·1976

Same author

[Analytical structure examination of cancer literature on the basis of Sabir-c (author's transl)].

Zeitschrift fur Krebsforschung und klinische Onkologie. Cancer research and clinical oncology·1973

Same author

Improved statistical methods for automatic construction of a medical thesaurus.

Methods of information in medicine·1972

Same author

Processing of histopathological data.

Methods of information in medicine·1971

Search research articles

Related Experiment Video

Updated: Jun 5, 2026

Automating Tumor Implantation in Zebrafish Larvae for Cancer Research and Medicine

Automating Tumor Implantation in Zebrafish Larvae for Cancer Research and Medicine

Published on: September 19, 2025

Data processing in oncology. Attempts at mechanization and automation.

M Wolff-Terroine¹

¹Unité de Documentation Insitut du Cancer Gustave Roussy, Villejuif/Seine, France.

Methods of Information in Medicine

|January 5, 2011

Summary

This cancer documentation center is expanding and plans to integrate computer services. This system upgrade aims to enhance user benefits and leverage advanced non-numerical data processing for cancer research.

More Related Videos

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Published on: June 3, 2022

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

Related Experiment Videos

Last Updated: Jun 5, 2026

Automating Tumor Implantation in Zebrafish Larvae for Cancer Research and Medicine

Automating Tumor Implantation in Zebrafish Larvae for Cancer Research and Medicine

Published on: September 19, 2025

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Published on: June 3, 2022

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

Area of Science:

Oncology
Information Science
Scientific Documentation

Background:

A specialized cancer documentation center, initially small, is now experiencing significant growth.
The center focuses on organizing and disseminating cancer-related scientific information.

Purpose of the Study:

To describe the current organization and functions of an expanding cancer documentation center.
To explore the potential integration of computer services to optimize center operations.
To enhance user access to the team's expertise and the latest non-numerical data processing advancements in cancer research.

Main Methods:

System analysis of the existing documentation center.
Planning for computer system integration and reconversion.
Evaluation of non-numerical data processing techniques for scientific information.

Main Results:

The documentation center is in a phase of expansion, indicating successful initial operations.
A need for computerization has been identified to improve efficiency and user services.
Potential for enhanced utilization of intellectual resources and advanced data processing is recognized.

Conclusions:

The cancer documentation center's expansion necessitates a strategic shift towards computerization.
Implementing a computer system will maximize user benefits and access to cutting-edge cancer research information.
Adopting advanced non-numerical data processing is crucial for future growth and impact.