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IRIS is a free and public collection of instruments, materials, stimuli, data, and data coding and analysis tools used for research into languages, including first, second-, and beyond, and signed language learning, multilingualism, language education, language use, and language processing. Materials are freely accessible and searchable, easy to upload (for contributions) and download (for use). For materials or data to be held on IRIS, it must have been used for an accepted peer-reviewed journal article, book chapter, conference proceeding or an approved PhD thesis. Materials and data are given a DOI and reference at the point of submission. By default, uploaders assigned a https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.en
CLARIN-UK is a consortium of centres of expertise involved in research and resource creation involving digital language data and tools. The consortium includes the national library, and academic departments and university centres in linguistics, languages, literature and computer science.
Apollo (previously DSpace@Cambridge) is the University of Cambridge’s Institutional Repository (IR), preserving and providing access to content created by members of the University. The repository stores a range of content and provides different levels of access, but its primary focus is on providing open access to the University’s research publications.
York Digital Library (YODL) is a University-wide Digital Library service for multimedia resources used in or created through teaching, research and study at the University of York. YODL complements the University's research publications, held in White Rose Research Online and PURE, and the digital teaching materials in the University's Yorkshare Virtual Learning Environment. YODL contains a range of collections, including images, past exam papers, masters dissertations and audio. Some of these are available only to members of the University of York, whilst other material is available to the public. YODL is expanding with more content being added all the time