Explore the publishing platforms that support academic visibility and research dissemination
The Publishing Platforms page presents the major scholarly spaces inside KLD OpenScholar. It helps users understand where academic works are published, stored, reviewed, and made accessible, whether through journals, repositories, or other structured publishing channels.
3+
Publishing environments
18
Journal and research collections
240+
Accessible scholarly works
100%
Open visibility support
Different spaces for different academic publishing needs
Not all scholarly works are handled in the same way. This page helps explain the platforms that manage journals, repository materials, and institutional outputs inside the system.
Scholarly Journal Publishing Space
This platform is intended for peer-reviewed or editorially managed academic journals. It supports submission, screening, review, revision, and final publication of journal articles.
Institutional Research Repository
This platform stores and showcases academic outputs that may not always follow issue-based journal publishing, such as theses, capstones, institutional research, and other preserved scholarly materials.
Academic Output and Institutional Publication Space
This platform can support official institutional publications, collected academic outputs, special collections, and organized knowledge-sharing spaces beyond regular journal structures.
Different publishing goals need different academic spaces
A platform helps organize how scholarly materials move from submission to visibility. Some works belong in journals, others in repositories, and others in institution-based publication spaces.
Designed for authors, editors, reviewers, and readers
Publishing platforms are not only for one type of user. They help multiple academic roles work together in an organized publishing and access environment.
Build a complete scholarly ecosystem through connected publishing platforms
Use this page to introduce the journal, repository, and institutional publishing spaces of your platform, then connect each one to the right workflows, collections, and academic outputs.