Simplifying license attribution for OER with emacs-reveal

Lechtenbörger Jens


Abstract
Open Educational Resources (OER) come with different license terms that require different forms of attribution. Properly attributing OER with licensing information has previously been identified as one of the most time-consuming factors of OER projects. As shown in this paper, the semantic annotation standard CC REL lacks features that are necessary for correct attribution with popular Creative Commons licenses. The software emacs-reveal addresses this gap in the context of OER slideshows, which may contain figures under different licensing terms: For each figure, a simple text file stores metadata building upon the vocabulary of CC REL (with pragmatic extensions) and can be shared along with the figure. From that metadata, the software generates attribution statements, both in machine-readable form (based on RDFa) and in human-readable form. The novel resulting process avoids manual copying of relevant license information, which is time-consuming and error-prone.

Keywords
Open Educational Resource; OER; Attribution; Creative Commons; RDFa; FLOSS



Publication type
Conference Paper

Peer reviewed
Yes

Publication status
Published

Year
2019

Conference
17. Fachtagung Bildungstechnologien (DELFI 2019)

Venue
Berlin, Deutschland

Book title
DELFI 2019

Editor
Pinkwart Niels, Konert Johannes

Start page
205

End page
216

Publisher
Gesellschaft für Informatik e.V.

Place
Bonn

ISBN
978-3-88579-691-6

Full text