Mining Biodiversity Progress Report

Progress report from the Mining Biodiversity, Digging into Data Challenge round 3, project.

MIRACLE Progress Report

Progress report for the MIRACLE, Digging into Data Challenge round 3, project.

Commonplace Cultures Progress Report

Progress report for the Commonplace Cultures, Digging into Data Challenge phase 3, project.

DiLiPaD Progress Report

Progress report for the DiLiPaD, Digging into Data Challenge round 3, project.

Chinese Texts Progress Report

Progress report for the Chinese Texts, Digging into Data Challenge round 3, project.

Trees and Tweets Progress Report

Progress report for the Trees and Tweets, Digging into Data Challenge round 3, project.

Early Christian Lives Progress Report

Progress report for the Early Christian Lives, Digging into Data Challenge round 3, project.

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).

Test University of Ann Lloyd Annual Report

Test

Open Media Classes at Coventry University: Final Evaluation Report 2015

This report offers a reflection on findings from a one year evaluation study into the distributed open media classes at Coventry University The study team comprised Lou McGill and Tim Gray of Lou McGill Consultancy Ltd. This report is augmented by an open wiki (bit.ly/1KqL4nH) which includes more detail about the approaches used during the study and findings are also presented as a series of web pages (comc.loumcgill.co.uk). We would like to thank the Department of Media in the School of Art and Design for their input, openness and patience during the study.

Impact calculator

Evaluate the efficiency of your change initiative The Impact Calculator can be used to demonstrate the impact of a process redesign or system implementation by quantifying the tangible benefits or efficiency gains that can be derived from it: identifying and recording the efficiency savings and costs of a process redesign determine if and when a return on investment (ROI) is made identify and measure as many benefits as you wish quantifying efficiency savings in monetary and non-monetary terms

Scientific Data Application Profile Scoping Study

This study was undertaken by UKOLN on behalf of the Joint Information Systems Committee (JISC) in the period April to September 2008. Application profiles are metadata schemata which consist of data elements drawn from one or more namespaces, optimized for a particular local application. They offer a way for particular communities to base the interoperability specifications they create and use for their digital material on established open standards. This offers the potential for digital materials to be accessed, used and curated effectively both within and beyond the communities in which they were created. The JISC recognized the need to undertake a scoping study to investigate metadata application profile requirements for scientific data in relation to digital repositories, and specifically concerning descriptive metadata to support resource discovery and other functions such as preservation. This followed on from the development of the Scholarly Works Application Profile (SWAP) undertaken within the JISC Digital Repositories Programme and led by Andy Powell (Eduserv Foundation) and Julie Allinson (RRT UKOLN) on behalf of the JISC. Aims and Objectives 1.To assess whether a single metadata AP for research data, or a small number thereof, would improve resource discovery or discovery-to-delivery in any useful or significant way. 2.If so, then to:a.assess whether the development of such AP(s) is practical and if so, how much effort it would take; b.scope a community uptake strategy that is likely to be successful, identifying the main barriers and key stakeholders. 3.Otherwise, to investigate how best to improve cross-discipline, cross-community discovery-to-delivery for research data, and make recommendations to the JISC and others as appropriate. Approach The Study used a broad conception of what constitutes scientific data, namely data gathered, collated, structured and analysed using a recognizably scientific method, with a bias towards quantitative methods. The approach taken was to map out the landscape of existing data centres, repositories and associated projects, and conduct a survey of the discovery-to-delivery metadata they use or have defined, alongside any insights they have gained from working with this metadata. This was followed up by a series of unstructured interviews, discussing use cases for a Scientific Data Application Profile, and how widely a single profile might be applied. On the latter point, matters of granularity, the experimental/measurement contrast, the quantitative/qualitative contrast, the raw/derived data contrast, and the homogeneous/heterogeneous data collection contrast were discussed. The Study report was loosely structured according to the Singapore Framework for Dublin Core Application Profiles, and in turn considered: the possible use cases for a Scientific Data Application Profile; existing domain models that could either be used or adapted for use within such a profile; and a comparison existing metadata profiles and standards to identify candidate elements for inclusion in the description set profile for scientific data. The report also considered how the application profile might be implemented, its relationship to other application profiles, the alternatives to constructing a Scientific Data Application Profile, the development effort required, and what could be done to encourage uptake in the community. The conclusions of the Study were validated through a reference group of stakeholders.