Nature Index interviewed Kate LeMay to comment on the guiding principles for sharing data that can help researchers get ahead. The article highlights why FAIR (Findable, Accessible, Interoperable and Reusable) data is becoming increasingly endorsed by scientific institutions including the United States National Academies of Sciences, Engineering and Medicine, the European Commission, and the Wellcome Trust. However, it is yet to gain much traction among those actually generating the data.
“Most people get into research because they want to make a difference. That includes making your data as useful as possible,” according to Kate, Senior Research Data Specialist, Australian Research Data Commons (ARDC).
The ARDC has been working tirelessly to lead the charge on making data FAIR. Through the establishment of tools and projects to help advanced the way Australian researchers manage and share data. These tools and projects include, but are not limited to:
- FAIR data self-assessment tool: assesses the ‘FAIRness’ of a dataset, and determine how to enhance its FAIRness.
- 23 Research Data Things: a guide to research data management, for all disciplines.
- Enabling FAIR Data Project: easy discovery, recombination, reuse, and to test reliability, and where information about samples, methods, and tools are standardized, available, and linked across publications in the Earth, Space and Environmental Sciences.
There are many benefits to making data FAIR, including how it supports knowledge discovery and innovation, promoting sharing and reuse of data, and its adaptability to multiple disciplines. The State of Open Data Report 2018, published by Digital Science, has found that just 15% of researchers were “familiar with FAIR principles”. So what do you need to know about how FAIR not only benefits others but also your future? Read the full interview with Kate and Lambert from Nature Index.
You can also access ARDC’s (built from ANDS, Nectar and RDS) dedicated FAIR resources.