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

## TL;DR

This paper introduces a customizable, secure DIY web app to help researchers manage and share tabular data, originally designed for genomics but adaptable to other fields.

## Contribution

The novelty lies in providing a low-cost, customizable platform for managing and sharing research data with features like browsing and linking to external knowledge bases.

## Key findings

- The platform simplifies data access and team sharing for researchers.
- It is designed to be easily customizable for use in various research fields.
- The app is open-source and available under the MIT license.

## Abstract

A problem spanning across many research fields is that processed data and research results are often scattered, which makes data access, analysis, extraction, and team sharing more challenging. We have developed a platform for researchers to easily manage tabular data with features like browsing, bookmarking, and linking to external open knowledge bases. The source code, originally designed for genomics research, is customizable for use by other fields or data, providing a no- to low-cost DIY system for research teams.

The source code of our DIY app is available on https://github.com/Carmona-MoraUCD/Human-Genomics-Browser. It can be downloaded and run by anyone with a web browser, Python3, and Node.js on their machine. The web application is licensed under the MIT license.