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The purpose of this paper is to consider how digital preservation system architectures will support business analysis of large-scale collections of preserved resources, and the use of Big Data analyses by future researchers.

This paper reviews the architecture of existing systems, then discusses experimental surveys of large digital collections using existing digital preservation tools at Big Data scales. Finally, it introduces the design of a proposed new architecture to work with Big Data volumes of preserved digital resources – also based upon experience of managing a collection of 30 million digital images.

Modern visualisation tools enable business analyses based on file-related metadata, but most currently available systems need more of this functionality “out-of-the-box”. Scalability of preservation architecture to Big Data volumes depends upon the ability to run preservation processes in parallel, so indexes that enable effective sub-division of collections are vital. Not all processes scale easily: those that do not require complex management.

The complexities caused by scaling up to Big Data volumes can be seen as being at odds with preservation, where simplicity matters. However, the sustainability of preservation systems relates directly to their usefulness, and maintaining usefulness will increasingly depend upon being able to process digital resources at Big Data volumes. An effective balance between these conflicting situations must be struck.

Preservation systems are at a step-change as they move to Big Data scale architectures and respond to more technical research processes. This paper is a timely illustration of the state of play at this pivotal moment.

WITH decimal currency achieved, another major upheaval to our national way of life looms on the horizon. We are no strangers to metrication. It was officially recognized by the Metric Act of 1864 which limited its use to scientific purposes. A further Weights and Measures (Metric System) Act, 1897, made it lawful to use the metric system in industry and commerce, but made almost no difference to the country's daily life.

‘WORK STUDY specialists of Europe—from both the Six and the Seven— are getting together in London this year regardless of what happens to other meetings,’ said Mr. R. M. Currie, C.B.E., President of the European Work Study Federation, in a statement on the forthcoming Congress of the Federation which is to take place at Church House, Westminster, from May 20 to 23.

Football clubs invest in the implementation of scientific insights that improve the quality of youth academies. In the long run, clubs expect their youth academy investments to result in better trained players. The purpose of this paper is to quantify the impact of the attended youth academies' quality on the future market value of a player.

A dataset containing 94 players trained in 13 different academies has been constructed. The dataset contains characteristics of the players and information on the quality of their attended academies. The impact of the quality of the attended academies on players' future market values was estimated empirically through multiple regression analysis.

The quality of a youth academy has a significant positive impact on a player's market value, which in turn is correlated with higher future wages for players and transfer fees for clubs.

Clubs are advised to pay sufficient attention to investments in their youth academy. This will eventually lead to better trained players and higher revenues. Players in turn should strive to be part of the best academies that provide good training and the opportunity to become a top-earning player. For policymakers, such as football federations, the results imply that stimulating club investments in academies can lead to better national team performances.

The impact of the quality of a youth academy on an individual professional football player's career has never been quantified in the literature before. To this end, a new variable has been constructed using scientific assessments of youth academies.

Growing evidence suggests regional economic factors impact on individual outcomes, such as life expectancy and well-being. The purpose of this paper is to investigate the impact that player-specific and regional differences have on the number of senior international appearances football players accumulate over the course of their careers, for six UEFA member countries, from 1993 to 2014.

The research employs a Poisson regression model to analyse the impact of individual and regional factors on the number of senior international caps a footballer receives over the course of their career.

The results indicate that both individual and regional variables can explain the number of caps a player receives over the course of their career. The authors find that an individual’s career length positively influences the number of international caps accrued. Players born in wealthier and more populous regions accumulate a greater number of international appearances. Distance from the capital has no effect, however, the number of youth academies in the player’s region of birth has a significant positive effect.

The analysis is limited to regional variations within economically developed states. It would be interesting to test whether the correlation between relative regional development and international success exists in less developed countries. The authors only address mens international football in this study and cannot comment on the generality of the findings across genders or sports.

The results can provide insights for local football authorities and policy makers concerned with regional characteristics and those interested in the development of elite talent.

This is the first study to analyse a pan-European data set, using an increasingly adopted econometric method to understanding regional economic development – Poisson modelling.

This paper aims to extend the literature on how to harness the expertise of team members. This paper suggests that the leader’s expertise recognition plays an important role in enhancing team effectiveness. In addition, leader’s personal dispositions shape how the leader’s recognition could benefit team expertise utilization.

This paper utilizes a two-wave, multi-source (team leaders and team members rated) survey design from 78 information technology teams to test the proposed moderated mediation model.

The data analysis revealed that a leader’s expertise recognition is positively related to team expertise utilization. Moreover, the leaders’ traits (i.e. social dominance and reflectiveness) act as important boundary conditions of this relationship. Specifically, only when the leader is less socially dominant or more reflective can they fully utilize the expertise recognition and enhance team creativity through team expertise utilization.

This study investigated an important issue that expertise utilization research has hitherto overlooked: the effects of leader’s expertise recognition on team expertise utilization and team creativity.