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The changing landscape of research data - FAIR Data, tips for data management and open/FAIR data
Strong data management and monitoring is essential when it comes to reusing scholarly digital assets. Without a rigorous and stable framework in place, the opportunity for driving discovery and innovation becomes limited.
That is why the FAIR Data Principles were published in 2016 – to provide a solution for enhancing the reusability of data, with a particular emphasis on machines having the ability to automatically locate, use and enable the reuse of data when it is needed in the future.
Explore the full transcript and links: The changing landscape of research data - FAIR Data, tips for data management and open/FAIR data (internationalbunch.com)
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By internationalbunchStrong data management and monitoring is essential when it comes to reusing scholarly digital assets. Without a rigorous and stable framework in place, the opportunity for driving discovery and innovation becomes limited.
That is why the FAIR Data Principles were published in 2016 – to provide a solution for enhancing the reusability of data, with a particular emphasis on machines having the ability to automatically locate, use and enable the reuse of data when it is needed in the future.
Explore the full transcript and links: The changing landscape of research data - FAIR Data, tips for data management and open/FAIR data (internationalbunch.com)