Data: Overview, Download and API

In addition to the aims of every review journal – evaluation and criticism by academic peers – RIDE aims to facilitate students and scholars in the field of Digital Humanities with empirical data about the reviews and the reviewed digital resources. All the data is offered with a Creative Commons Attribution 4.0 International license.


We gather information about every reviewed digital edition, text collection, or tool in formal questionnaires, differentiating between the three types of digital resources (Scholarly Editions, Text Collections, Tools). Individual results of the questionnaires are captured in the TEI header of each review and published as a factsheet accompanying the review text.


The questionnaire results are also evaluated for all the reviews together and summarized in the form of charts about scholarly editions and text collections. The charts give insight into different aspects of digital scholarly editing and corpora, for example the use of data standards, licenses, resolving mechanisms, interfaces, etc.


The TEI-XML file of each review can be downloaded on its HTML page on this website (see the download-link is in the right sidebar of the review page). Furthermore, the data of individual reviews (TEI, image files, and a PDF version) as well as of entire RIDE issues can be downloaded at the IDE’s GitHub respository. Different versions of the data are published on GitHub and archived on Zenodo.


The metadata about all the reviews published in RIDE can be retrieved via an OAI-PMH interface (Open Archives Initiative Protocol for Metadata Harvesting). The interface can be reached at

Technically, the OAI interface is based on an XQuery module which was initially developed for the project, has been reused in the project Das altägyptische Totenbuch and has now been adapted for the use in RIDE. At the interface, the RIDE metadata is offered in three XML-based formats:

The interface does not support sets and deleted objects are not sustained.
Examples for queries:


Several scripts that are used in the RIDE publication workflow are published on GitHub so that they can be reused in other contexts: