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Development of Interactive Data Visualization Platform for Chemical Research Data

s-pro.io

Health & Fitness

Manufacturing

Information technology

Challenges in Chemical Research Data Management and Analysis

NovaChem Research Institute faces significant challenges in effectively managing, analyzing, and interpreting the vast and complex datasets generated from its chemical research. These challenges include data complexity stemming from molecular structures, experimental results, and analytical measurements; limited data accessibility across different sources and experiments; and difficulty in extracting meaningful insights from the data to accelerate scientific discoveries.

About the Client

NovaChem Research Institute is a leading independent research organization focused on developing novel chemical compounds for pharmaceutical and materials science applications. They employ over 1000 researchers and utilize advanced genomics and machine learning techniques.

Project Objectives

Develop an interactive data visualization platform to enable researchers to gain deeper insights from chemical research data.
Improve data accessibility and integration from diverse data sources.
Enhance collaboration and knowledge sharing among researchers.
Accelerate the pace of scientific discovery by facilitating data-driven decision-making.
Increase data understanding and identify patterns, trends, and correlations within the datasets.

Functional Requirements

Centralized data integration from various sources.
Interactive data visualization tools (graphs, charts, heatmaps).
Customizable dashboards for individual researchers and teams.
Data filtering, searching, and sorting capabilities.
Collaboration features (commenting, sharing visualizations).
User access control and security features.

Preferred Technologies

Python (for data processing and analysis)

JavaScript (for front-end development)

React/Angular/Vue.js (for interactive user interface)

D3.js/Plotly/Chart.js (for data visualization)

Cloud-based platform (AWS/Azure/GCP) for scalability and accessibility

Integrations Required

Laboratory Information Management System (LIMS)
Electronic Lab Notebook (ELN)
Data repositories (e.g., chemical databases)

Key Non-Functional Requirements

Scalability to handle large datasets and a growing number of users.
High performance for fast data loading and visualization.
Data security and privacy compliance.
User-friendly interface with intuitive navigation.
Responsive design for access on various devices.

Expected Business Impact

The implementation of this data visualization platform is expected to significantly enhance NovaChem's research capabilities, leading to faster scientific discoveries, improved collaboration among researchers, and more efficient resource utilization. The platform will empower researchers to identify novel drug candidates and materials with greater speed and accuracy, ultimately accelerating innovation and driving business growth.