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Open Access & Scholarly Communication  

Resources on open access and scholarly communication.
Last Updated: Jan 22, 2017 URL: http://linfield.libguides.com/openaccess Print Guide RSS Updates

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Additional OA Informational Resources

On the State of Open Access (Q&A with Richard Poynder & Peter Suber, July 2013)

Digital Scholarship Bibliographies and Webliographies (Charles W. Bailey, Jr., updated periodically)

 

Disciplinary Repositories

arXiv.org - e-prints in physics, mathematics, computer science, quantitative biology, quantitative finance, and statistics

Cogprints - self-archived papers on cognition in psychology, neuroscience, linguistics, as well as some areas of computer science, philosophy, biology, medicine, and anthropology

 

Open Access Advocacy

SPARC - The Scholarly Publishing and Academic Resources Coalition is an international alliance of academic and research libraries working to correct imbalances in the scholarly publishing system.

Creative Commons - Creative Commons is a nonprofit organization that enables the sharing and use of creativity and knowledge through free legal tools.

Open Humanities Press Access is Fundamental to Scholarship

Public Library of Science (PLoS) - whose advocacy mission is to accelerate progress in science and medicine by leading a transformation in research communication.

Open Access Scholarly Publishers Association (OASPA) - exchanging information, setting standards, advancing models, advocacy, education, and the promotion of innovation for open access publishers.

Office of Science & Technology Policy (OSTP) and SHared Access Research Ecosystem (SHARE)

Confederation of Open Access Repositories (COAR)

Scholarly Communication

Clifford Lynch in Conversation: Lynch talks about the future of institutional repositories with Jean-Gabriel Bankier, President and CEO of bepress; 83 mins. (Nov. 2015)

Managing Data

OHSU's Big Data to Knowledge (BD2K) project, a series of learning modules about big data and the research lifecycle

OpenRefine - a tool that lets you clean, transform, and work with messy data

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