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These checklists, tailored to stages of the research lifecycle, can help you streamline and organize work on your project.
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.
Searching for advice on how to best organize your project or your research group's work?
→ Check out The Practice of Reproducible Research
This free Gitbook features over 30 case studies that help bridge the gap between theory and real-world application. The case studies describe in detail how researchers in various disciplines have combined tools and workflows to make their lives easier, and maximize the reproducibility of their work.
Pivot integrates funding, collaborator discovery, and publishing opportunities into one powerful tool.
This video demonstrates basic searching for funding opportunities in Pivot. Check out the Pivot YouTube channel for training on other topics
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
README files describe your data, and help facilitate accurate understanding and reuse of your work.
Recommended README file content, in brief
For more detail, please see this README file template.