Researchers and the research community spend vast amounts of time and money generating data and other scholarly outputs. These outputs offer considerable value to researchers, but only if they can be found, accessed, understood, and trusted for reuse.  

Among the many benefits of creating research data and other digital objects like software that are easier to understand, access, and reuse are the following:  

  • Researchers can increase the citations and impact of their work  
  • Funders can achieve more value from research dollars invested  
  • Better documentation and auditability can improve scientific reproducibility and trust  
  • Better interoperability makes it easier for work to be combined  
  • Interdisciplinary work can happen more easily when data is more accessible and understandable  

To achieve better research data management, research data should be findable, accessible, interoperable and reusable (FAIR) for both people and machines. 

More reading: 

Original article describing the FAIR principles

Make Data Count – building evidence-based data use metrics