Suchergebnisse

ObjectivesBroad public acceptability of research using data and statistics entails demonstrating trustworthiness and understanding public needs to maximise public benefit. Insight into public attitudes is crucial for informing how to operate in a trustworthy way and within the public interest.
ApproachIn 2022, two UK-wide public dialogues were undertaken to explore attitudes regarding the use of data and statistics in research. The first, explored views towards the creation of a more joined-up, efficient and trustworthy national data research infrastructure. The second aimed at understanding public perceptions of 'public good' of data and statistics. Both took a deliberative approach and involved diverse participation from members of the UK public. Both also sought the expertise of stakeholders within the data and statistics communities to inform the process.
ResultsThe first dialogue found that the public want:

more proactive transparency around data research processes, with greater efforts made to raise awareness about it and the security processes in place;
meaningful and inclusive public involvement and engagement;
a more standardised, centralised and unified approach to data research across the UK; and
for sensitive data to be made safely and securely available to researchers for projects in the public benefit, regardless of whether those researchers sit within academia, government or the private sector.

The second dialogue launched in March; results will be publicly available by the middle of summer. The findings of this dialogue are intended to influence policy and process relating to the use of data and statistics.
ConclusionThe first dialogue emphasises that the public are supportive of data research. And whilst reassured by security processes, they also do not want them to unduly hinder public benefit. Attendees at the IPDLN Conference will be some of the first to hear about the findings from the second dialogue.

Abstract
Although we have been incessantly trying to construct accounting studies as a proper academic subject over half a century, neither what we have attained is great nor the road ahead easy. Nonetheless we have no choice but to pursue the way of positive (not necessarily empirical) scientific research with productive feedback between theoretical and empirical analyses, going beyond theory without data and data without theory.
It is crucially important to grasp rationally the self-development of accounting rules as a spontaneous order without any preconceived rigid understanding of rationality, and accordingly we must first build a consistent conceptual framework in consonance with accounting norms and phenomena as the vital analytical tool for the development of accounting research based on solid foundation.

As a consequence of social, technological, political and economic changes, the field of organizations management and engineering becomes highly complex, calling for more effective strategies. In this book, the authors discuss innovative technological resources and their implications on organizational policies, strategies, and flexibility, as well as on sustainable management.

PurposeThe purpose of this paper is to introduce an embodied approach to disability into the field of diversity management research.Design/methodology/approachThe paper critically examines previous diversity management research and it draws on previous disability research in the social sciences to develop an embodied approach to disability for diversity management research.FindingsThe paper argues that an embodied approach is required because previous diversity management research on disability ignores important aspects of disability.Research limitations/implicationsThe embodied approach to disability proposed in this paper expands the understanding of disability in diversity management research, and it discusses implications for future research and for organizations.Originality/valueThe paper is unique in proposing an embodied approach to disability in diversity management research.

The goal of the IDOD project was to provide the federal government, the scientific community and other users with an up-to-date tool for collecting, managing and analysing marine scientific data.The resulting "marine information system" is hosted by the Belgian Marine Data Centre (BMDC), a team within the Management Unit of the Mathematical Mode's of the North Sec (MUMM). The BMDC committed itself to keep the IDOD information system alive and evolving. A remote user interface is available online at http:/ /www.mumm.ac.be/ datacentre. The project faced all the aspects of modern scientific data management. A major challenge was to establish a fruitful dialog with the data providers. This has been done through extensive discussions in the Users committee and during bilateral meetings. The topics that have then been clarified range from the principles (in order to write down a standard common "Rights and duties" agreement) to the very technical and scientific details, specific to each data set . A substantial effort has been put on the definition of guidelines for ensuring the data quality throughout their way from the field to the data centre. This has resulted, for instance, in the development of a "On-board registration of samples" computer programme, in a check list of meta-information to document the data or in the definition of a "common layout" for reporting data sets to the data centre.On the technical side, the variety and complexity of the data to be stored and made available for further use lead us to elaborate a complex and robust data base scheme, after an in-depth conceptual analysis. The database itself is implemented using the ORACLE technology.In parallel, a set of dedicated analysis and visualisation tools has been developed. They help the users and the data managers to tackle the data in their space and time dimensions and also allow cross-analysis between different parameters. The primary providers of data for the information system were the various teams participating in the (first) Programme for a sustainable development of the North Sea, financed by the Belgian Federal Office for scientific, technical and cultural affairs. These data are being complemented by data from other (earlier) scientific programmes and from governmental surveys. The project has been performed by MUMM, in partnership with the SURFACES laboratory (University of Liege) and the University Centre of Statistics (University of Leuven).

This article explores some of the issues arising from data collection and contact methods employed in a research project exploring the links between practice learning and the recruitment and retention of social work staff in local authorities in England. The project employed email and attachment questionnaire and interview methods for data collection. Questions relating to consent, reminders and tracking of participants, as well as data quality and management were brought centre stage. This article explores some of the ethical and practice issues arising from this new approach and suggests some ways forward.

Big Data is everywhere around us.In previous era,there is an increase in demand of big data,business analytics and work environment.The big data is dominantly practice-driven,the corporations are exploring how big volume of data can be used to produce and store values for the company and governments.Though the machine learning and web analytics is to guess the action of the individuals,choice of the consumer or search action.Big Data is rapid tool that not only study patterns, but also give the diving possibility of an event.Corporations have stepped on the trend of using the big capacity of data that is forever increasing,often in terra or petabytes,to better guess results with large accuracy.The United Nation has passed another initiative named Global Pulse that manipulates new digital data sources such as mobile calls or mobile payments.Now big data has become a mainstream as a corporate terms,there is a small published management scholarship that handles the provocation of using such tools.In this research paper, we explore about the concepts of Big Data and how to manage it.