Article
Version 1
Preserved in Portico This version is not peer-reviewed
Towards Easy Deposit: Lowering the Barriers of Green Open Access with Data Integration and Automation
Version 1
: Received: 12 February 2020 / Approved: 13 February 2020 / Online: 13 February 2020 (10:34:30 CET)
A peer-reviewed article of this Preprint also exists.
Zhang, H. Toward Easy Deposit: Lowering the Barriers of Green Open Access with Data Integration and Automation. Publications 2020, 8, 28. Zhang, H. Toward Easy Deposit: Lowering the Barriers of Green Open Access with Data Integration and Automation. Publications 2020, 8, 28.
Abstract
This proposal describes the design and development of an interoperable application that supports green open access with long-term sustainability and improved user experience of article deposit. Introduction: The lack of library resources and unfriendly repository user interface are two significant barriers that hinder green open access. Tasked to implement the open access mandate, librarians at an American research university developed a comprehensive system called Easy Deposit 2 to automate the support workflow of green open access.
Implementation: Easy Deposit 2 is a web application that is able to harvest newly publications, outreach for manuscript on behalf of the library, and facilitate self-archiving to IR. It is developed and maintained by the library and integrated with the IR.
Results and Discussion: The article deposit rate is about 25% with Easy Deposit 2, which increases significantly comparing to the previous period. It also serves as a local database for faculty publications with open access status. The lesson learned is that library cannot rely on a single commercial provider for publication data due to mismatched priorities.
Conclusion: Recent IT developments provides new opportunities of innovation like Easy Deposit 2 in supporting open access. Academic librarians are vital in promoting "openness" in scholarly communication such as transparency and diversity in the sharing of publication data.
Keywords
open access; api; self archiving,; automation
Subject
SOCIAL SCIENCES, Library & Information Science
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)