NASA Open Science Gateway

A cloud-based platform to streamline geoscientific research workflows.

Project overview

NASA’s Open Science Gateway (OSG) is a cloud-based platform-as-a-service (PaaS) that supports geoscientists throughout their research journey, from data collection to publishing results.

As a UX designer at Indiana University's cyber-infrastructure research division, I collaborated with NASA Earth scientists to create a north-star concept for the platform.

Timeline

3 months (Jan-Mar 2023)

Team

1 UX Designer

1 UX Researcher

1 Project Manager

3 Developers

Role

UX Designer

Tools

Figma

Microsoft 365

Platform

Web application

Status

Shipped

Contribution

Primary research

Concept ideation

Prototyping

High-fidelity designs

Additional background

This is a joint project between Indiana University, Georgia Institute of Technology, and other partner universities, funded by the NSF (National Science Foundation).

Problem context

Geoscientists had complex workflows, often juggling multiple tools, datasets, and applications that slowed their progress.

Our PM, who is also a research professor at IU, shared stats showing how fragmented tools, manual processes, and collaboration issues affected research efficiency and output quality.

42%

Time spent on data management

Scientists spend nearly half their time managing data across platforms instead of conducting research.

380 hours

Lost annually

Research teams lose hundreds of hours to manual data conversion and report generation each year.

67%

Project delays

Two-thirds of teams report delays due to collaboration barriers and lack of centralized tools.

28%

Document consistency

Only about a quarter of research projects maintain consistent documentation across their lifecycle.

Core challenge

How might we streamline the scientific research workflow so that geoscientists can spend less time managing tools and more time advancing their research?

Solution highlights

Unifying fragmented research tools into a single workspace, enabling scientists to focus more on discovery and less on process.

Unified project management

Comprehensive project dashboard

Integrated simulations

Real-time collaboration

Intuitive report generation

Research

Geoscientific research was completely new to me, so I collaborated with a UX researcher and interviewed 5 scientists, asking them to explain their research process.

Observing how these scientists identify and approach research problems, the tools they use, and their methods for finding relevant datasets to build hypotheses answered many of our questions and helped us identify existing gaps.

From the interview data, we identified five key problems contributing to the challenges scientists faced.

apps

Fragmented tools and resources

Scientists have to switch platforms for different research phases.

folder_open

No centralized management system

Managing datasets, models, and results across projects is cumbersome.

supervised_user_circle_off

Collaboration challenges

Remote collaboration over the cloud is difficult, with poor task accountability.

draft

Difficulty in generating reports

Researchers lack an intuitive tool for creating and sharing insights.

public_off

Less to no automation

Converting raw data for simulations is time-consuming and manual.

Synthesis

We then worked with the developers and PM to pinpoint specific areas for improvement in a typical research workflow.

We identified four main stages that scientists typically go through. For each stage, we mapped out their processes, pain points, and included questions or relevant quotes from the interviews to spark discussion. This provided a solid foundation for generating clear design opportunities.

Ideation

For each of the 4 stages, I proposed a workflow improvement and created task flows to clearly communicate my ideas to the team.

These flows provided a clear understanding of the scope of work, including the number and types of screens needed for the MVP solution.

Once we agreed on the function, I began designing the form, starting with simple wireframes.

I held frequent critique sessions with the developers and PM to review and iterate the designs until we reached a consensus on layout and functionality, leaving aesthetics for later.

Let's connect!

© 2025 Ritwik Mittal

Final solution

An open-source, cloud-based platform that simplifies and expedites geoscientific research using automation, project management, and real-time collaboration.

Unified project management

Projects overview

The project overview page organizes complex research initiatives into scannable cards that surface key details about each project's resources and team. The layout prioritizes quick comparison across projects while maintaining easy access to actions and filters scientists need most.

Project creation

A project creation modal streamlines the process of starting new research initiatives by breaking it into logical steps of naming, describing, and building a team. The design maintains simplicity while providing smart features like email suggestions to speed up the collaboration process.

Project details

This project details screen combines high-level project metrics with detailed insights and real-time activity tracking. The layout prioritizes data visualization while maintaining easy access to project controls and team collaboration features.

interactive simulations

Simulation creation overview

Users can run complex environmental models in real time. They can adjust parameters, observe immediate changes, and track the progress of their simulations through live updates. The system would automatically gather high-value isights and present them in a sequential manner.

VEDA datasets integration

Researchers can access and integrate NASA's VEDA datasets into their research workflows. With options to upload personal datasets and filter through validated, high-resolution datasets, researchers can curate datasets for simulations quickly, reducing the complexity of sourcing and managing research data.

Workflow automation

Users can upload raw data and the platform would automatically process the file to prepare it for further analysis. This automation removes the need for scientists to manually clean, format, or validate data.

Simulation dashboard

The simulation dashboard merges technical monitoring with scientific insights, allowing researchers to track both computation progress and emerging research findings. With the layout, I tried to prioritize real-time data while maintaining context of the broader research goals.

real-time collaboration

Collaborative report creation

With real-time editing features, multiple collaborators can draft, edit, and finalize research reports on shared projects. Each team member's contributions are visible, and version history ensures transparency.

Kanban task management

The dashboard includes a high-level project tracking with detailed task management, allowing scientists to both monitor overall progress and manage day-to-day research activities from a single screen.

Activity feed

Activity feed allows team members to see updates like newly uploaded datasets, assigned tasks, and simulation progress. This ensures that all collaborators are aligned and can make immediate contributions, improving the overall workflow and decision-making during research projects.

intuitive report generation

Seamless integration of insights

Scientists can compile and publish reports directly within the platform. They can insert insights, charts, and images from the simulations or datasets into their reports simply by dragging them into the document. They can also choose to either insert a detailed analysis or an executive summary.

Testing & impact

We presented the final designs to the geoscientists we initially interviewed and received mixed responses.

Observing how these scientists identify and approach research problems, the tools they use, and their methods for finding relevant datasets to build hypotheses answered many of our questions and helped us identify existing gaps.

Positives

autorenew

Automatic data conversion.

group

Cross-team collaboration management.

pie_chart

Simulation metrics and key insights gathering.

Suggested improvments

apps_outage

UI is too busy; most of the secondary options can be hidden in menus.

quiz

Adding guided tutorials for first-time users.

discover_tune

Provide more flexibility in how much detail users need to provide for certain simulations.

iframe

Not all simulations will have the same process. Need to provide templates for different kinds.

format_shapes

Would like to see more control over the format and content of the report.

Next steps

I handed over the designs to the developers to build an HTML-based prototype, tailored to scientists' specific use cases, to refine the concept.