Research Workspace

The Research Workspace is a web-based platform for collaboratively managing science projects through the entire data lifecycle. Whether you are a research scientist, data manager, or program manager you can benefit from using the Research Workspace. Coordinate information transfer, create and execute reproducible numerical workflows, generate metadata and publish finalized data products to national archives all through a single application.

How People Use the Research Workspace

Organizations and Program Managers

Get a handle on your organization's scientific projects and data products

Provide your science teams with tools to share data while enabling your organization to retain its entire research legacy.
Configure your scientific enterprise through advanced security permissions and organize projects into larger scale research campaigns.
Enable your scientists and data managers to collaboratively generate standardized metadata for projects and data products.
Generate Digital Object Identifiers (DOIs) for final data products and publish to national archives via DataONE.
Manage and track administrative reporting requirements through the use of configurable report submission tools.

Data Managers

Be more efficient coordinating data management tasks across your projects and scientists

Manage the process of data submission, metadata generation, and publication for all your projects and science teams from one centralized application.
Work collaboratively with your scientists via web-based tools to create ISO 19115-2 and 19110 metadata files for projects and data.
Create DOIs for finalized data and metadata packages and submit these to data repositories.
Rest assured that your data are secure, backed up, and accessible anywhere.

Researchers

Enhance your research efforts from data collection through analysis and publication

Centralize your project data resources and establish access permissions to improve coordination and data transfer among collaborators.
Participate in and manage Research Campaigns composed of multiple projects, investigators, and organizations to facilitate large-scale scientific network coordination.
Analyze your data by scripting and executing R or Python-based Jupyter notebooks.
Create metadata for projects and data products, generate DOIs for final products, and submit to data repositories through integrated tools.

Technologies