Something for everyone? The different approaches of academic disciplines to Open Educational Resources and the effect on widening participation

This article explores the relationship between academic disciplines‘ representation in the United Kingdom Open University‘s (OU) OpenLearn open educational resources (OER) repository and in the OU‘s fee-paying curriculum. Becher‘s (1989) typology was used to subdivide the OpenLearn and OU fee-paying curriculum content into four disciplinary categories: Hard Pure (e.g., Science), Hard Applied (e.g., Technology), Soft Pure (e.g., Arts) and Soft Applied (e.g., Education). It was found that while Hard Pure and Hard Applied disciplines enjoy an increased share of the OER curriculum, Soft Applied disciplines are under-represented as OER. Possible reasons for this disparity are proposed and Becher‘s typology is adapted to be more appropriate to 21st-century higher education

Enhancing design learning using groupware

Project work is increasingly used to help engineering students integrate, apply and expand on knowledge gained from theoretical classes in their curriculum and expose students to 'real world' tasks [1]. To help facilitate this process, the department of Design, Manufacture and Engineering Management at the University of Strathclyde has developed a web±based groupware product called LauLima to help students store, share, structure and apply information when they are working in design teams. This paper describes a distributed design project class in which LauLima has been deployed in accordance with a Design Knowledge Framework that describes how design knowledge is generated and acquired in industry, suggesting modes of design teaching and learning. Alterations to the presentation, delivery and format of the class are discussed, and primarily relate to embedding a more rigorous form of project-based learning. The key educational changes introduced to the project were: the linking of information concepts to support the design process; a multidisciplinary team approach to coaching; and a distinction between formal and informal resource collections. The result was a marked improvement in student learning and ideation

Data Vaults: a Database Welcome to Scientific File Repositories

Efficient management and exploration of high-volume scientific file repositories have become pivotal for advancement in science. We propose to demonstrate the Data Vault, an extension of the database system architecture that transparently opens scientific file repositories for efficient in-database processing and exploration. The Data Vault facilitates science data analysis using high-level declarative languages, such as the traditional SQL and the novel array-oriented SciQL. Data of interest are loaded from the attached repository in a just-in-time manner without need for up-front data ingestion. The demo is built around concrete implementations of the Data Vault for two scientific use cases: seismic time series and Earth observation images. The seismic Data Vault uses the queries submitted by the audience to illustrate the internals of Data Vault functioning by revealing the mechanisms of dynamic query plan generation and on-demand external data ingestion. The image Data Vault shows an application view from the perspective of data mining researchers

Enterprise Metadata Management: Identifying Success Factors For Implementing Managed Metadata Environments

Managed metadata environments (MME) are being employed in organisations that need to assure a consistent and efficient capture, integration and delivery of enterprise metadata. Initiatives to implement a MME in an organisation may be a daunting endeavour and various information systems have evolved over time to support such environments. The expert study at hand used a multi-round Delphi research method in order to identify critical success factors of these initiatives. Out of the ten critical success factors nominated through the early rounds, nine factors were found to be very-toextremely important and one factor moderately important. The identified success factors can be used as a basis for implementation frameworks in metadata management initiatives. An effective and efficient metadata management system is one of the key components of data and information management, and can greatly aid organisations‟ efforts toward improved information quality and governanc