Data Management Overview

Why Manage Data?

Research today not only has to be rigorous, innovative, and insightful - it also has to be organized. As improved technology creates more capacity to create and store data, it increases the challenge of making data FAIR: Findable, Accessible, Interoperable, and Reusable (The FAIR Guiding Principles for scientific data management and stewardshiphttps://www.nature.com/articles/sdata201618). Many academic journals are requiring submission of relevant data with manuscripts to promote open access and reproducibility of research.

To address these challenges, funding agencies are increasingly mandating that research projects are developed with data management and sharing plans in place. This includes accounting for security, accessibility, sharing, storage, maintenance and reuse.

This website provides resources and guidance for research data management planning and assistance with elements of data management that will be relevent throughout your career. It provides access to tools and resources, including information on funding agency and institutional requirements, that help you manage your data effectively and prepare it for sharing, and reuse.

Key Points for Data Management:  

  • Easier to analyze organized, documented data
  • Find data more easily
  • Don’t drown in irrelevant data
  • Don’t lose data
  • Get credit for your data
  • Avoid accusations of misconduct

Data Management Best Practices

 

A Data Management Cautionary Tale


Last Updated: 2019-07-31