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Cloud Dataverse, at Massachusetts Open Cloud Workshop, Boston University, Tuesday, December 6, 2016:
clouddataverse-mocworkshop-2016-mercecrosas.pdf

 

Cloud Dataverse will be a new service for accessing and processing public data sets in a the Massachusetts Open Cloud (MOC). It is based on Dataverse, a popular software framework for sharing, archiving, and analyzing research data. Cloud Dataverse extends Dataverse to replicate datasets from institution repositories to a cloud-based repository and store their data files in Swift, making data processing faster for in-situ application running in the cloud.

Cloud...

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Cloud Dataverse - A Faster Way to Process Data in the Cloud, at OpenStack Summit, Barcelona, Wednesday, October 26, 2016:
clouddvvbrownbagopenstacksummit.pdf

A presententation at the OpenStack Summit by  Piyanai Saowarattitada, Mercè Crosas, and Orran Krieger. https://www.openstack.org/summit/barcelona-2016/summit-schedule/events/16875/cloud-dataverse-a-faster-way-to-process-data-in-the-cloud

Abstract: Cloud Dataverse is a new service for accessing and processing public data sets in an OpenStack Cloud. It is based on Dataverse, a popular framework for sharing, preserving, and analyzing research data. Cloud Dataverse extends Dataverse to replicate datasets from per-institution repositories to a cloud-based...

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Making Data Accessible , at Harvard SEAS, CS Colloquium, Thursday, October 20, 2016:
seas-cscolloquium-mercecrosas.pdf

Since modern science began, data have been a critical part of the scientific enterprise, not only for conducting science but also for communicating and validating scientific results. From the beginning, it was clear that for the scientific community to continually verify scientific results, the underlying data had to be made accessible. But that has not been, and is still not, always the case. In recent years however, public data repositories have grown significantly, making many research data sets easily accessible to others. The ...

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Research and Academic Software Projects developed at IQSS , at Harvard University, Lamont Library, Monday, October 3, 2016:
abcd-iqsssoftwareprojects-mercecrosas.pdf

Presentation for Harvard's ABCD Technology in Education group:

The Institute for Quantitative Social Science (IQSS) is a unique entity at Harvard - it combines research, software development, and specialized services to provide innovative solutions to research and scholarship problems at Harvard and beyond. I will talk about the software projects that IQSS is currently working on (Dataverse, Zelig, Consilience, and OpenScholar), including the research and development processes, the benefits provided to the Harvard community, and the impacts on research and scholarship...

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The DataTags System: Sharing Sensitive Data with Confidence, at RDA 8th Plenary, Denver, Colorado, Friday, September 16, 2016:
datatags-rda8plenary-steps.pdf

This talk was part of a session at the Research Data Alliance (RDA) 8th Plenary on Privacy Implications of Research Data Sets, during International Data Week 2016:
https://rd-alliance.org/rda-8th-plenary-joint-meeting-ig-domain-repositories-wg-rdaniso-privacy-implications-research-data

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