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Research Data Management for the Health Sciences: Home

Research data is becoming increasingly important. This Medical Library guide will introduce you to research data management skills, and connect you to relevant services and resources across the Yale Campus.


Research data management is the care and maintenance of data produced during research.  

Use this library guide to learn about data management topics as they relate to health science research. This resource will guide you through data management considerations you should make throughout your research process.

If you have any questions about this guide or its contents, please email the

Reasons to Manage your Research Data

  • Verify the integrity of your data
  • Make your data findable and reusable
  • Help others understand your data
  • Encourage other researchers to reuse and cite your data 
  • It is required by funding agencies such as NIH and NSF

Components of Data Management

  • Plan your data management efforts early, with a data management plan
  • Include data management costs in your application budget
  • Use descriptive file naming conventions 
  • Store your data in multiple locations
  • Define roles and assign responsibilities for data management
  • Identify and use relevant metadata standards
  • Deposit your data into an appropriate repository

All data management best practices by DataONE

Research Data Defined

Research Data is

Recorded factual material commonly accepted in the scientific community as necessary to document and support research findings. This does not mean summary statistics or tables; rather, it means the data on which summary statistics and tables are based. 

NIH Data Sharing Policy and Implementation Guidance


This includes all data on which statistics and tables are based, such as:

  • Lab notebook content
  • Images
  • Data files
  • Data processing or computer programs
  • Statistical records

This does not include:

  • Summary statistics 
  • Summary tables
  • Physical objects, such as gels or laboratory specimens 
  • Books, articles, or other scholarly writings that are drafted, published or publicly presented 
  • Plans for future research
  • Peer review reports
  • Communications with colleagues


If a topic in data management brought you to this guide, please take a second to let us know which one by taking this poll. Please vote more than once if more than one topic relates to you.

What data support do you need?
Data Management Plans: 3 votes (17.65%)
Data Analysis Help: 10 votes (58.82%)
Data Storage Help: 1 votes (5.88%)
Finding Data: 0 votes (0%)
Citing Data: 0 votes (0%)
Data Reuse: 0 votes (0%)
Best Practices: 2 votes (11.76%)
Data Policies: 1 votes (5.88%)
Total Votes: 17