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Innovative Computing

Harvard,

Updated On 02 Feb, 19

Overview

Contents:
Books to Bench to Bedside Informatics for Autism Research - An Introduction to the Dataverse Network as an Infrastructure for Data Sharing - Astronomy as I See It-Statistical Signal Processing for Modern High - Dimensional Data Sets - An Introduction to Computational Multi-physics: Motivations for Triple-M Modeling-Selected Applications Part-Theoretical Background Part - An Introduction to Computational Multi-physics: Selected Applications Part-Examples/Applications Part-Theoretical Background Part - Medical Imaging Computing: From Data to Understanding - From Bio-polymer Translation to Hemo dynamics: New Challenges in Multi-scale Computing

Includes

Lecture 2: An Introduction to the Dataverse Network as an Infrastructure for Data Sharing

4.1 ( 11 )


Lecture Details

December 10, 2007 -- Gary King, Harvard UniversityWe introduce a set of integrated developments in web application software, networking, data citation standards, and statistical methods designed to put some of the universe of data and data sharing practices on somewhat firmer ground. We have focused on social science data, but aspects of what we have developed may apply more widely. The idea is to facilitate the public distribution of persistent, authorized, and verifiable data, with powerful but easy-to-use technology, even when the data are confidential or proprietary. We intend to solve some of the sociological problems of data sharing via technological means, with the result intended to benefit both the scientific community and sometimes apparently contradictory goals of individual researchers.

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Sam

Excellent course helped me understand topic that i couldn't while attendinfg my college.

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Dembe

Great course. Thank you very much.

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