MIRASS: medical informatics research activity support system using information mashup network

Area of Science:

• Medical Informatics
• Information Science
• Computer Science

Background:

• Web 2.0 technologies enable online collaboration and information sharing.
• Data mashup platforms are key in information and communication technology but underutilized in medical informatics research.
• Current scientific search engines present challenges in search time, resource credibility, and accuracy for medical informatics researchers.

Purpose of the Study:

• To address obstacles in medical informatics research, including search engine quality and customizability.
• To develop and implement a user-friendly, customizable search engine for trusted medical informatics resources.
• To enhance the usability and efficiency of scientific search engines in the medical informatics domain.

Main Methods:

• Development of a customizable search engine utilizing data mashup techniques.
• Implementation focused on integrating trusted medical informatics resources.
• Comparative analysis of the developed search engine against existing platforms like Web of Science and Science Direct.

Main Results:

• The developed customizable search engine significantly improves the usability of scientific search engines for medical informatics.
• The "Pipe search engine" demonstrated superior efficiency compared to other evaluated search engines.
• Addresses issues related to the quality of papers, index accuracy, and search engine flexibility.

Conclusions:

• A customizable data mashup approach can effectively enhance medical informatics research.
• The "Pipe search engine" offers a more efficient and reliable solution for accessing credible medical informatics resources.
• Future work should focus on further optimizing search functionalities and expanding resource integration.