Vitaliy-1 / JATSParserPluginLinks
OJS3 Plugin for parsing JATS XML and displaying it on article detail page
☆28Updated 2 years ago
Alternatives and similar repositories for JATSParserPlugin
Users that are interested in JATSParserPlugin are comparing it to the libraries listed below
Sorting:
- Texture JATS XML editor integration for OJS☆28Updated 4 months ago
- PKP XML Parsing Service☆31Updated 7 years ago
- Java project, aimed to facilitate DOCX to JATS XML transformation for scientific articles☆31Updated 5 years ago
- A community-built theme for OJS 3 that implements Bootstrap 3 components.☆56Updated 5 months ago
- A web-based platform for publishing journals, preprints, conference proceedings, and books☆211Updated this week
- Plugin for OJS 3 that parses DOCX and converts it to JATS XML format☆24Updated 3 years ago
- Open Monograph Press is open source software to manage scholarly presses.☆136Updated this week
- Edition Visualization Technology 2 - development☆80Updated last week
- An OJS 3 plugin to generate an article citation in any CSL citation style using citeproc-php.☆16Updated this week
- Builds a Simple Archive Format package from files and a spreadsheet☆46Updated 2 years ago
- Heidelberg Monograph PublishingTool (heiMPT) is a stand-alone platform, as well as a plug-in application for OMP. It enables a high degre…☆23Updated 2 weeks ago
- A clean, simple OJS 3 theme with a boxed layout that mimics a paper document.☆29Updated 2 months ago
- The library used by PKP's applications OJS, OMP and OPS, open source software for scholarly publishing.☆337Updated this week
- Modeling and visualizing physical manuscript collation☆53Updated 3 years ago
- Digital Mappa (DM for short) is a freely available online environment for creating projects out of digital images and texts.☆23Updated last month
- Science publishing CMS☆52Updated last week
- IIIF Server is a module for Omeka S that adds the IIIF specifications to serve any images and medias.☆17Updated 7 months ago
- This fork of the plugin for Omeka allows users to import metadata of items from a simple CSV file. Improvements are: choice of separators…