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Research Data Management Resources

Data management best practices, funder mandates, data sharing options, and local resources for research data management.

Why Share Research Data?

 

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"Openness increases transparency and reliability, facilitates more effective collaboration, accelerates the pace of discovery, and fosters broader and more equitable access to scientific knowledge and to the research process itself."
— National Academies of Sciences, Engineering, and Medicine. 2018. Open Science by Design: Realizing a Vision for 21st Century Research. Washington, DC: The National Academies Press. https://doi.org/10.17226/25116

Transparency

  • Allows data to be audited

Innovation

  • Data can be reused or recombined in unexpected ways
  • Data can be used to plan new studies
  • New markets for services related to curation, preservation, analysis, visualization

Efficiency

Impact

Success stories of how open data has made a difference

9 Simple Ways to Make It Easier to (Re)Use Your Data

This paper "Nine simple ways to make it easier to (re)use your databy Ethan P. White et al. presents 9 recommendations for scientists on how to to make their data understandable, easy to analyze, and readily available:

  1. Share your data
  2. Provide metadata
  3. Provide an unprocessed form of the data
  4. Use standard data formats for files, tables, and within table cells
  5. Use good null values
  6. Make it easy to combine your data with other datasets
  7. Perform basic quality control
  8. Use an established repository
  9. Use an established and liberal license

Sharing Clinical Trial Data

The Institute of Medicine has created a dynamic infographic for recommendations on when to share clinical trial data. This inforgraphic is freely available from their website.

IOM infographic