The Grimsby Institute Group: Making it easy for students to use their own devices to learn

The Grimsby Institute wanted to create an infrastructure that would enable staff and students to use more mobile technology to enhance learning. They have improved the wifi connectivity in college and streamlined the software used to access college areas, as well as encouraging individuals to use their own technology. So far this has had a positive impact on retention and simplified the support that the college needs to provide, as well as saving the organisation money through some strategic changes.

Review of selected organisational IDs and development of use cases for the Jisc CASRAI-UK Organisational Identifiers Working Group

This project aimed to investigate and review candidates for providing an authoritative, widely used unique identifier for organisations involved in research in the UK. Specifically, we undertook to: ● clarify a representative but not comprehensive set of use cases for the UK research community to use organisational identifiers (orgIDs); ● survey and interview a small number of well-informed people in the field in order to create and prioritise a list of desirable features for the provision of orgIDs and potential services built around them; ● check the use cases and these required features against four possible candidate orgIDs and their providers; ● inform the Working Group of our conclusions and, if appropriate, make recommendations for adoption by the UK research community.

Bibliographic Data Roadmap Group Meeting 1

The first meeting of a Jisc convened group to discuss action in the area of bibliographic data.

Bibliographic Data Roadmap Group Meeting 2

Notes from the second meeting of the Bibliographic Data Roadmap Group to discuss action on bibliographic data for libraries

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.