id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
www-nature-com-2208		The FAIR Guiding Principles for scientific data management and stewardship | Scientific Data			.html	text/html	8409	712	54	There are numerous and diverse stakeholders who stand to benefit from overcoming these obstacles: researchers wanting to share, get credit, and reuse each other's data and interpretations; professional data publishers offering their services; software and tool-builders providing data analysis and processing services such as reusable workflows; funding agencies (private and public) increasingly concerned with long-term data stewardship; and a data science community mining, integrating and analysing new and existing data to advance discovery. From the deliberations at the workshop the notion emerged that, through the definition of, and widespread support for, a minimal set of community-agreed guiding principles and practices, all stakeholders could more easily discover, access, appropriately integrate and re-use, and adequately cite, the vast quantities of information being generated by contemporary data-intensive science. While there have been a number of recent, often domain-focused publications advocating for specific improvements in practices relating to data management and archival1,11,12, FAIR differs in that it describes concise, domain-independent, high-level principles that can be applied to a wide range of scholarly outputs.	./cache/www-nature-com-2208.html	./txt/www-nature-com-2208.txt