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Found 10 result(s)

The Polinsky Language Sciences Lab Dataverse

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The Polinsky Language Sciences Lab at Harvard University is a linguistics lab that examines questions of language structure and its effect on the ways in which people use and process language in real time. We engage in linguistic and interdisciplinary research projects ourselves; offer linguistic research capabilities for undergraduate and graduate students, faculty, and visitors; and build relationships with the linguistic communities in which we do our research. We are interested in a broad range of issues pertaining to syntax, interfaces, and cross-linguistic variation. We place a particular emphasis on novel experimental evidence that facilitates the construction of linguistic theory. We have a strong cross-linguistic focus, drawing upon English, Russian, Chinese, Korean, Mayan languages, Basque, Austronesian languages, languages of the Caucasus, and others. We believe that challenging existing theories with data from as broad a range of languages as possible is a crucial component of the successful development of linguistic theory. We investigate both fluent speakers and heritage speakers—those who grew up hearing or speaking a particular language but who are now more fluent in a different, societally dominant language. Heritage languages, a novel field of linguistic inquiry, are important because they provide new insights into processes of linguistic development and attrition in general, thus increasing our understanding of the human capacity to maintain and acquire language. Understanding language use and processing in real time and how children acquire language helps us improve language study and pedagogy, which in turn improves communication across the globe. Although our lab does not specialize in language acquisition, we have conducted some studies of acquisition of lesser-studied languages and heritage languages, with the purpose of comparing heritage speakers to adults.

DataSuds

Des données ouvertes pour une science durable au Sud

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The DataSuds data warehouse provides IRD scientists and their partners with a service to disseminate, preserve and enhance their research data by facilitating their identification and citation. It is one of the elements of the open science system for the South promoted by the IRD.

GlobeData

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GlobeData is a repository for archiving and publishing research data at the Leipzig Research Centre Global Dynamics (ReCentGlobe). It is furthermore open to researchers worldwide in the interdisciplinary fields of global and area studies and will engage in systematic data collection.

York University Dataverse

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York University Libraries makes available Borealis for despositing data . Borealis is a an instance of Dataverse hosted by The Ontario Council of University Libraries, of which York University Libraries is a member.

Archaeology Data Service

ADS

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The ADS is an accredited digital repository for heritage data that supports research, learning and teaching with freely available, high quality and dependable digital resources by preserving and disseminating digital data in the long term. The ADS also promotes good practice in the use of digital data, provides technical advice to the heritage community, and supports the deployment of digital technologies.

Yale-NUS Dataverse

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Yale-NUS Dataverse is the institutional research data repository of Yale-NUS College. The goals of Yale-NUS Dataverse are to collect, preserve and showcase the research output of Yale-NUS researchers and through this, increase the research visibility of Yale-NUS researchers and demonstrate the research excellence of Yale-NUS College to the world.

DANS: Data Station Archaeology

DANS Archaeology

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A domain-specific repository for Archaeology and related data, primarily aimed at the Netherlands, but not exclusively.

The Abdul Latif Jameel Poverty Action Lab

J-PAL Dataverse

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Data from selected studies from the Abdul Latif Jameel Poverty Action Lab (J-PAL), povertyactionlab.org. A number of other studies from J-PAL have data posted on the MacArthur Dataverse: http://dvn.iq.harvard.edu/dvn/dv/macarthur.

University of Manitoba Dataverse

University of Manitoba Libraries Dataverse

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UM Dataverse is part of the Dataverse Project conceived of by Harvard University. It is an open source repository to assist researchers in the creation, management and dissemination of their research data. UM Dataverse allows for the creation of multiple collaborative environments containing datasets, metadata and digital objects. UM Dataverse provides formal scholarly data citations and can help with data requirements from publishers and funders.

University of Guelph Research Data Repositories

University of Guelph Dataverse

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The University of Guelph Research Data Repositories provide long-term stewardship of research data created at or in cooperation with the University of Guelph. The Data Repositories are guided by the FAIR Guiding Principles for scientific data management and stewardship which aim to improve the Findability, Accessibility, Interoperability and Reuse of research data. The Data Repositories is composed of two main collections: the Agri-environmental Research Data collection which houses agricultural and environmental research data, and the Cross-disciplinary Research Data collection which houses all other disciplinary research data.