Understand the scope of data management

... to prepare for data management activities 


Data management aims to generate high-quality data and to reduce the limitations on data sharing.



Different stages of the scientific research life cycle have corresponding data management activities.




A comprehensive overview of data management is available in these guides by MIT LibrariesUK Data ArchiveAustralian National UniversityDigital Curation Centre, and ICPSR.





Recognize the benefits of data management

... and become motivated for data management practices 


  • Helps meet funding agency requirements for data and data sharing 
  • Facilitates data sharing, which may maximize citations to your research work and improve its impact (Piwowar et al., 2007)
  • Ensures data are organized and safely stored to prevent loss 
  • Prepares data for future re-use
  • Helps plan for high-quality data generation and efficient data practices





Include other research materials

... to protect as much of your work as possible





Your research consists of more than numbers and text. 





Include a variety of materials in your management plans. 
  • Models and computational simulations 
  • Images, photographs, audio, and video
  • Instrument readings 
  • Maps 
  • Software 
  • Artifacts and samples 
  • Physical collections 
  • And other materials produced