Information legislation and management survey 2014

The 10th annual Jisc, GuildHE and Universities UK information legislation and management survey shows a rise in the number of Freedom of Information (FOI) requests for the tenth consecutive year. In contrast Environmental Information Regulations (EIR) requests appear to have levelled off to a fairly consistent rate, while Data Protection Act (DPA) requests have declined back to levels last seen in 2008. The average monthly number of FOI requests received by UK universities has risen by 19% since 2013 and by almost seven times over the last decade since our survey began. The average across the 46 participating institutions was 219 FOI requests with the highest of 454 reported by one participant.

Information legislation and management survey 2014

The 10th annual Jisc, GuildHE and Universities UK information legislation and management survey shows a rise in the number of Freedom of Information (FOI) requests for the tenth consecutive year. In contrast Environmental Information Regulations (EIR) requests appear to have levelled off to a fairly consistent rate, while Data Protection Act (DPA) requests have declined back to levels last seen in 2008. The average monthly number of FOI requests received by UK universities has risen by 19% since 2013 and by almost seven times over the last decade since our survey began. The average across the 47 participating institutions was 218 FOI requests with the highest of 454 reported by one participant.

Digging into signs: Developing standard annotation practices for cross-linguistic, quantitative analysis of sign language data. Final Report.

For sign languages used by deaf communities, linguistic corpora have until recently been unavailable, due to the lack of a writing system and a written culture in these communities, and the very recent advent of digital video. Recent improvements in video and computer technology have now made larger sign language datasets possible; however, large sign language datasets that are fully machine-readable are still elusive. This is due to two challenges. 1. Inconsistencies that arise when signs are annotated by means of spoken/written language. 2. The fact that many parts of signed interaction are not necessarily fully composed of lexical signs (equivalent of words), instead consisting of constructions that are less conventionalised. As sign language corpus building progresses, the potential for some standards in annotation is beginning to emerge. But before this project, there were no attempts to standardise these practices across corpora, which is required to be able to compare data crosslinguistically. This project thus had the following aims: 1. To develop annotation standards for glosses (lexical/word level) 2. To test their reliability and validity 3. To improve current software tools that facilitate a reliable workflow Overall the project aimed not only to set a standard for the whole field of sign language studies throughout the world but also to make significant advances toward two of the world’s largest machine-readable datasets for sign languages – specifically the BSL Corpus (British Sign Language, http://bslcorpusproject.org) and the Corpus NGT (Sign Language of the Netherlands, http://www.ru.nl/corpusngt).