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Found 7 result(s)

CCSS Data & Reproduction Archive

Cornell Center for Social Sciences Data & Reproduction Archive

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The Cornell Center for Social Sciences (CCSS) houses an extensive collection of research data files in the social sciences with particular emphasis on data that matches the interests of Cornell University researchers. CCSS intentionally uses a broad definition of social sciences in recognition of the interdisciplinary nature of Cornell research. CCSS collects and maintains digital research data files in the social sciences, with a current emphasis on Cornell-based social science research, Results Reproduction packages, and potentially at-risk datasets. Our archive historically has focused on a broad range of social science data, including data on demography, economics and labor, political and social behavior, family life, and health. You can search our holdings or browse studies by subject area.

DataFed

Data Federation

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<<<!!!<<< As of 2017-05-17 the data catalog is no longer available >>>!!!>>> DataFed is a web services-based software that non-intrusively mediates between autonomous, distributed data providers and users. The main goals of DataFed are: Aid air quality management and science by effective use of relevant data - Facilitate the access and flow of atmospheric data from provider to users - Support the development of user-driven data processing value chains. DataFed Catalog links searchable Datafed applications worldwide.

South African Data Archive

SADA

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<<<!!!<<< 2020-08-28; the repository is no longer available >>>!!!>>> The South African Data Archive promotes and facilitates the sharing of research data and related documentation of computerised raw quantitative data of large scale regional, national and international research projects mainly in the humanities and social sciences. It makes these datasets available to the research community for further analysis, comparative studies, longitudinal studies, teaching and decision-making purposes.

Harvard Dataverse

The Dataverse Project

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The Harvard Dataverse is open to all scientific data from all disciplines worldwide. It includes the world's largest collection of social science research data. It is hosting data for projects, archives, researchers, journals, organizations, and institutions.

Henry A. Murray Research Archive at IQSS, Harvard University

Murray Archive

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The Henry A. Murray Research Archive is Harvard's endowed, permanent repository for quantitative and qualitative research data at the Institute for Quantitative Social Science, and provides physical storage for the entire IQSS Dataverse Network. Our collection comprises over 100 terabytes of data, audio, and video. We preserve in perpetuity all types of data of interest to the research community, including numerical, video, audio, interview notes, and other data. We accept data deposits through this web site, which is powered by our Dataverse Network software

UCLA Dataverse

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UCLA Library is adopting Dataverse, the open source web application designed for sharing, preserving and using research data. UCLA Dataverse will allow data, text, software, scripts, data visualizations, etc., created from research projects at UCLA to be made publicly available, widely discoverable, linkable, and ultimately, reusable

GISAID

GISAID EpiFlu database

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The GISAID Initiative promotes the international sharing of all influenza virus sequences, related clinical and epidemiological data associated with human viruses, and geographical as well as species-specific data associated with avian and other animal viruses, to help researchers understand how the viruses evolve, spread and potentially become pandemics. *** GISAID does so by overcoming disincentives/hurdles or restrictions, which discourage or prevented sharing of influenza data prior to formal publication. *** The Initiative ensures that open access to data in GISAID is provided free-of-charge and to everyone, provided individuals identify themselves and agree to uphold the GISAID sharing mechanism governed through its Database Access Agreement. GISAID calls on all users to agree to the basic premise of upholding scientific etiquette, by acknowledging the originating laboratories providing the specimen and the submitting laboratories who generate the sequence data, ensuring fair exploitation of results derived from the data, and that all users agree that no restrictions shall be attached to data submitted to GISAID, to promote collaboration among researchers on the basis of open sharing of data and respect for all rights and interests.