Data Science : Data Management

This guide provides a general overview of research resources in Data Science, which includes online databases, journals, books, websites & other resources, finding tools and news.

Why manage research data?

Managing your research data helps you:

Streamline data collection & findability within your lab or research group
Achieve greater visibility for your research
Simplify collaboration and sharing
Fulfill grant funding agency requirements

We can help! We provide:

Assistance with developing data management plans for grant proposals
Advice and support in data documentation and organization to support reuse and preservation
Access to Northeastern's Digital Repository Service for depositing, sharing, and reusing data

Data management checklists

These checklists, tailored to stages of the research lifecycle, can help you streamline and organize work on your project.

Before you begin
Getting these data-related plans in place before you start a project will help you focus on your research.
As you work
Tips for organization, data documentation, file naming - plus strategies to ensure that they run smoothly during your project.
Publishing, sharing, & preserving
Congrats - you're done! Here's our advice on good practices for publishing your results, sharing data, and preserving your outputs before tackling the next project.

General guidance

General guidance for data management

This site offers helpful tips on a host of data management topics, ranging from non-proprietary file formats to naming conventions to persistent identifiers to data documentation.