Big Picture and Comprehensive Resources

• These succinct and helpful checklists from Northeastern University Library will guide you through the big picture considerations and the implementation details of data management for your research:
  • Data management checklist: before you begin your research
  • Data management checklist: as you work
• This instructor's guide for a comprehensive, 8-week data management training program contains a wealth of resources and is scaffolded to lead the student through big picture considerations, developing a detailed data management plan, and planning for sustainability. This would be an excellent sequence for new labs, or those looking to establish more effective workflows, to work through together.

Specific Aspects of Data Management

• Data standards: Check the FairSharing standards database to find out if there are specific formats that researchers are adopting for the types of data you will produce. This will make your data easier to compare and integrate with other datasets later on, and some repositories may require specific formats for deposited data.
• File naming and organization: This webpage from MIT breaks down the process of designing a file naming and organization system into simple steps that focus on your needs. It features a number of worksheets and resources to help make all of your data easier to find (not just research data).
• Copyright & Data: Read this short flyer by Kristin Briney for a quick overview on how copyright applies to research data and data sharing.

Have a resource you think we should add? Let us know.