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Scholarly Communication

A guide to issues in scholarly communication, including publishing, open access, copyright, author rights, and digital archiving.

Using Repositories to Share Research

The final phase of the scholarly communication lifecycle is discovery and dissemination. Archiving your work in an institutional or disciplinary repository enhances the accessibility of your research. Archived works can include scholarship created in any phase of the scholarship lifecycle, such as: pre/post-prints, data-sets, conference proceedings, theses/dissertations, and software. ASU has an institutional account with Open Science Framework (OSF), which provides a storage and sharing platform for data and publications - you can log in with your ASURITE and password to get started. Additionally, the ASU Digital Repository is managed by the ASU Library. 

Many federal funding agencies and other research sponsors have policies which require published articles and/or accompanying data to be publicly or openly available as a condition of funding. Self-archiving your work in the appropriate repository satisfies most of these requirements. 

For more detailed information about different types of repositories, as well as policies which facilitate self-archiving, view the Open Access: OA Repositories page.

U.S. funding agencies

In February 2013, the White House's Office for Science and Technology Policy released a memo mandating all federal funding agencies with budgets of $100 million or more to develop plans "to make the published results of federally funded research freely available to the public within one year of publication and requiring researchers to better account for and manage the digital data resulting from federally funded scientific research." Here is a list of those plans as they become available:

Data Management Plan

A data management plan (DMP) is a written document that describes the data you expect to acquire or generate during the course of a research project, how you will manage, describe, analyze, and store those data, and what mechanisms you will use at the end of your project to share and preserve your data.  Data management is best addressed in the early stages of a research project, but it is never too late to develop a data management plan.

For guidance or to arrange a consultation for developing a DMP, consult the library guide.

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