Data Management

Effective data management planning promotes successful data collection, use, and sharing, and helps to increase research impact and visibility. This saves you time, effort and resources throughout the research data life cycle.

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Data lifecycle

Why does having a Data Management strategy matter?

  • Following best practices for data management enables both you and others to share, discover, understand, and re-use data more effectively, even years after data have initially been collected or published.
  • By sharing well-documented data, you potentially increase your research impact and credibility, number of citations for associated papers, and future collaborations.
  • Data preparation can consume 60-80% of your time spent analyzing the data. Proper data management can help reduce this time and improve the quality of your analyses.
  • A well-crafted data management plan is important for satisfying funding agency requirements and potentially enhances the competitiveness of your grant proposal.
  • Effective data management can reduce the cost of creating and storing data, enhance data security, and minimize data loss.
  • Adhering to good data management practices during the early phases of a research project helps ensure that your data will be available to future generations.

Contact the Research Data Curation Program with questions about our services or to provide feedback on our new website.