A customizable secure DIY web application for accessing, sharing, and browsing aggregate experimental results and...

Area of Science:

• Bioinformatics
• Data Management
• Scientific Research

Background:

• Processed research data and results are often fragmented, hindering accessibility, analysis, and collaboration.
• Existing data management solutions can be costly and lack customization for diverse research needs.

Purpose of the Study:

• To develop a user-friendly platform for researchers to manage tabular data effectively.
• To provide a customizable, low-cost, do-it-yourself (DIY) system for research teams.
• To improve data accessibility, analysis, extraction, and team sharing.

Main Methods:

• Development of a web-based platform with features for browsing, bookmarking, and linking tabular data.
• Implementation of a system with source code designed for genomics research but adaptable to other fields.
• Provision of a downloadable, open-source application requiring standard web browser, Python3, and Node.js.

Main Results:

• A functional platform enabling researchers to organize and manage tabular data.
• A customizable and adaptable system applicable beyond genomics research.
• A no- to low-cost solution for research data management and collaboration.

Conclusions:

• The developed platform offers a practical solution to the challenge of scattered research data.
• The DIY system promotes efficient data handling and team collaboration in scientific research.
• The open-source nature and customizability make the platform a valuable asset for diverse research communities.