id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_x3ok32zpifb37gmefeafg53xai	Joshua T. Vogelstein	To the Cloud! A Grassroots Proposal to Accelerate Brain Science Discovery	2016	9	.pdf	application/pdf	6039	520	47	cloud-computing technologies to enable large-scale neurodata storing, exploring, analyzing, and modeling. to develop new computational technologies that complement advances in data can include requesting the data, identifying the formats and organization, requesting the code, deciding which functions to run and how, getting all brain scientists, but most tools are designed for data scientists, so the learning science resources, including vast quantities of data, algorithms, and models. elements can be divided into five categories: data, infrastructure, apps, algorithms, and education. existing brain science data repositories role, best practices of software development for science, including proper scientific documentation, are crucial. d Data Scientist: A person in this role is writing and running algorithms. Data scientists have a wide variety of computational backgrounds, including engineering, physics, mathematics, Institute for Brain Science's data portal, Types of Brain Science Data data-science skills, including many current brain scientists, without knowledge 35Institute for Data Intensive Engineering and Science 	./cache/work_x3ok32zpifb37gmefeafg53xai.pdf	./txt/work_x3ok32zpifb37gmefeafg53xai.txt