How it works
Scientific data management is a process of managing the flow of information from data creation to its use, reuse, and transformation.The Research Workspace is designed to help program managers meet their data management requirements.
The scientific data life-cycle
Collect
Track data ingestion
Store
Devise standards for organizing datasets
Analyze
Run scripts against your data
Preserve
Submit datasets to long-term data archives
Publish
Obtain DOIs and share research findings
Collect
Assemble your research team and track progress as they share data.
Store
Organize your data into folders and projects, then control who has access.
Analyze
Review your team's findings, run scripts on your data, and generate new research.
Preserve
Obtain DOIs (digital object identifiers) and submit data to repositories for long-term storage.
Publish
Highlight your research in a data catalog to showcase your research program's efforts.