Science and Research Content

Beta version of SocArXiv officially launched -

A beta version of SocArXiv, the open access, open source archive of social science, has been officially launched.

Created in partnership with the Center for Open Science, SocArXiv provides a free, non-commercial service for rapid sharing of academic papers. It is built on the Open Science Framework, a platform for researchers to upload data and code as well as research results.

By uploading working papers and preprints of their articles to SocArXiv, social scientists can now make their work immediately and permanently available to other researchers and the public, and discoverable via search engines. This alleviates the frustration of slow times to publication and sidesteps paywalls that limit the audience for academic research. Since SocArXiv is a not-for-profit alternative to existing commercial platforms, researchers can also be assured that they are sharing their research in an environment where access, not profit, will remain at the heart of the mission.

Since development was first announced in July, researchers have deposited more than 600 papers, downloaded over 10,000 times, in anticipation of SocArXiv's launch. SocArXiv anticipates rapid growth in that number in the coming year as it establishes a reputation as the fully open repository for sociology and social science research.

While the archive welcomes all social science research, the program is building from a strength in sociology, a discipline that lacks a strong tradition of preprint publication and open scholarship. With the Center for Open Science developing the technology, SocArXiv is focusing on planning, community mobilization, outreach, and governance of the archive. To that end, the Open Society Foundations and the Alfred P. Sloan Foundation have each granted the initiative at the University of Maryland $50,000 for the coming year.

Brought to you by Scope e-Knowledge Center, a world-leading provider of metadata services, abstraction, indexing, entity extraction and knowledge organisation models (Taxonomies, Thesauri and Ontologies).

Click here to read the original press release.

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