Importance of Data Management

photo_30046_20131231Data management is an essential area of responsible research. Before starting a new research project, the principal investigators and the research teams should address issues related to data management. By creating a plan for managing your data at the beginning of the project, you save time and effort later on. Also, you are assured that the data you produce will be preserved in a clear, useable format.

By managing your data you will:

  • Meet funding agency requirements
  • Protect federal investment in research and development
  • Expedite the scientific process; saving time and resources in the long run
  • Use or re-use the value, the uniqueness, and the importance of data
  • Ensure that research data and records are accurate, complete, authentic and reliable
  • Ensure research integrity and replication
  • Increase research efficiency
  • Enhance data security and minimize the risk of data loss
  • Prevent duplication of effort by enabling others to use your data
  • Comply with practices conducted in industry and commerce

Research data are an important and expensive output of the scholarly research process, across all disciplines. They are an essential part of the evidence necessary to evaluate research results, and to reconstruct the events and processes leading to them. Their value increases as they are aggregated into collections and as they become more available for re-use to address new and challenging research questions. Without proper organization, this value is greatly diminished.


  1. How to manage research data, Research Support Services, University of Edinburgh Information Services
  2. Data management and curation, Research Information Network (RIN)