Presentations

Measuring the Impact of Digital Repositories, at NSF, Arlington, VA, Wednesday, March 1, 2017:

Presentation at the meeting on Measuring the Impact of Digital repositories (https://www.nitrd.gov/nitrdgroups/index.php?title=DigitalRepositories).

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Qualitative Data Sharing Workshop Monday, February 27, 2017:

qualitativerepositoriesworkshop-mercecrosas.pdf

Presentation at the 3 day Workshop at the National Socio-Environmental Synthesis Center (SESYNC) titled: Accelerating Synthesis for Conservation and Sustainability Science through Qualitative Data Sharing. The presentation was about "Lessons Learned from Quantitative Data Sharing".

A Data Citation Roadmap for Scholarly Data Repositories Thursday, February 23, 2017

DataCite Webinar presented by Martin Fenner, Tim Clark, and Mercè Crosas

https://vimeo.com/205518469

Preprint on A Data Citation Roadmap for Scholarly Data repositories can be found here: http://scholar.harvard.edu/mercecrosas/publications/data-citation-roadmap-scholarly-data-repositories

Citation++: Data citation, provenance, and documentation, at NSF SI2 Conference, Arlington, VA, Tuesday, February 21, 2017:

si2-citationprovenance-seltzercrosas.pdf

By Mercè Crosas (PI), Margo Seltzer (PI), Jackson Okhun, Thomas Pasquier & Dataverse team.

The dawning of the digital research age – computational science, computational social science, and the digital humanities – brings with it both enormous potential and challenges. Visions of interactive publication, open data, reproducible results, and massive digital collections are exciting, opening up new research frontiers and the promise of more rapid dissemination of and building upon research ouput. However, to date, little of this vision has been realized. It remains...

Dataverse, Cloud Dataverse, and DataTags Tuesday, February 7, 2017:

dataverse-clouddataverse-datatags.pdf

Talk given at Two Sigma:
The Dataverse project, developed at Harvard's Institute for Quantitative Social Science since 2006, is a widely used software platform to share and archive data for research. There are currently more than 20 Dataverse repository installations worldwide, with the Harvard Dataverse repository alone hosting more than 60,000 datasets. Dataverse provides incentives to researchers to share their data, giving them credit through data citation and control over terms of use and access. In this talk, I'll discuss the Dataverse project, as well as related projects such as...

FAIR Data Management and FAIR Data Sharing, at Harvard Univeristy, Friday, February 3, 2017:

fair-datasharing-archeologysymposium.pdf

Presentation at the Critical Perspective on the Practice of Digital Archeology symposium: http://archaeology.harvard.edu/critical-perspectives-practice-digital-archaeology

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The Data Lifecycle Tuesday, January 17, 2017:

datafest-datalifecycle.pdf

Opening talk for the Harvard DataFest 2017: http://projects.iq.harvard.edu/datafest2017

The Data Lifecycle (...

Read more about Cloud Dataverse

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...

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 ...

Mercè Crosas

Presentations

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