Is FAIR open?

FAIR and open data are distinct but interconnected concepts in data management, sharing, and accessibility.

Unpacking FAIR’s jargon: The Indian example

 

While the core principles of FAIR have arguably gained widespread recognition, it’s important to acknowledge that not everyone interprets the terminology in the same way. Terms like Open Data and FAIR Data are often used interchangeably within organizational data policies, without a clear distinction of their unique attributes.

 

For example, the implementation of FAIR principles in Indian agricultural data management has revealed both challenges and opportunities, offering a nuanced understanding of how ‘open’ and ‘FAIR’ data concepts intersect in this specific context.

 

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How is FAIR data and open data different?

 

We have explored the differences and similarities between FAIR data and open data, and looked at the sensitivities of using the right words in difference context.

Relationship

 

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    Data is on a spectrum, and while open data should be FAIR, and FAIR data could be open, neither implies the other automatically.

The ODI’s Data Spectrum was designed to help users understand the language of data — and how it exists on a spectrum from closed to shared to open data. This version of the Data Spectrum focuses specifically on closed to shared to open data in agriculture.

Research with CGIAR projects demonstrated that a pattern whereby the earlier planning begins the greater FAIR maturity can be achieved, and at lower cost.

 

POs, grantees and other users can think through the possible maturity levels of the data within an investment and make considered, informed decisions about how to approach data problems and assets based on understanding where they sit in the broader data landscape.