Suchergebnisse

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).

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.

[EN] This work provides an overview of a Spanish survey on research data, which was carried out within the framework of the project Datasea at the beginning of 2015. It is covered by the objectives of sustainable development (goal 9) to support the research. The purpose of the study was to identify the habits and current experiences of Spanish researchers in the health sciences in relation to the management and sharing of raw research data. Method: An electronic questionnaire composed of 40 questions divided into three blocks was designed. The three Section s contained questions on the following aspects: (A) personal information; (B) creation and reuse of data; and (C) preservation of data. The questionnaire was sent by email to a list of universities in Spain to be distributed among their researchers and professors. A total of 1063 researchers completed the questionnaire. More than half of the respondents (54.9%) lacked a data management plan; nearly a quarter had storage systems for the research group; 81.5% used personal computers to store data; "Contact with colleagues" was the most frequent means used to locate and access other researchers' data; and nearly 60% of researchers stated their data were available to the research group and collaborating colleagues. The main fears about sharing were legal questions (47.9%), misuse or interpretation of data (42.7%), and loss of authorship (28.7%). The results allow us to understand the state of data sharing among Spanish researchers and can serve as a basis to identify the needs of researchers to share data, optimize existing infrastructure, and promote data sharing among those who do not practice it yet. ; This research was funded by National R+D+I of the Ministry of Economy and Competitiveness of the Spanish Government (projects: CSO2012-39632-C02-01 and CSO2015-65594-C2-2-R) and the 2015-Networks of Excellence Call (project CSO2015-71867-REDT). The APC was not funded. ; Aleixandre-Benavent, R.; Vidal-Infer, A.; Alonso-Arroyo, A.; Peset Mancebo, MF.; Ferrer ...

More Data, Less Process? The Applicability of MPLP to Research Data

This publication provides a comprehensive compendium of the current state of Germany's research infrastructure in the social, economic, and behavioural sciences. In addition, the book presents detailed discussions of the current needs of empirical researchers in these fields as well as of opportunities for future development. The importance of solid data for both public policy and the social and economic sciences is obvious. Today, empirical research is essential in finding solutions to many of the major challenges our society faces, such as environmental change, turbulent financial markets, and population growth. Based on 68 advisory reports by more than 100 internationally recognised authors from a wide range of fields, the book provides recommendations by the German Data Forum (RatSWD) on how to improve the research infrastructure so as to create conditions ideal for making Germany's social, economic, and behavioural sciences more innovative and internationally competitive.

Part 3: Big and Open Data ; International audience ; Today's rapidly changing and highly regulated business environments demand that organizations are agile in their decision making and data handling. At the same time, transparency in the decision making processes and in how they are adjusted is of critical importance as well. Our research focusses on obtaining transparency by not only documenting but also enforcing data governance policies and their resultant business and data rules by using a multi-level metadata approach. The multi-level approach makes a separation between different concerns: policy formulation, rule specification and enforcement. This separation does not only give more agility but also allows many different implementation architectures. The main types are described and evaluated.

There has been an increasing demand for analytics and research related to cross-cutting and horizontal issues in Canada, such as in the domains of housing, aging and immigration. Very often policy makers and stakeholders are posing a full spectrum of questions around a specific topic, requiring multidisciplinary evidence and data. Statistics Canada has a long history of record linkage. Over the past decade, the number of record linkage projects has increased exponentially. Several established platforms have been developed to facilitate linkage – Canadian Employer and Employer Database which brings together tax and employment records from both employees and employers; the Social Data Linkage Environment created to support linkages at the individuals level across a broad spectrum of social data (health, justice, education, socio-economic); and the Linkable File Environment for business data.
The breadth of our data holdings married with record linkage capabilities allows the creation of data sets that crosses disciplines and areas or research. This presentation will showcase the innovative data integration approaches that Statistics Canada has advanced to meet the inter-disciplinary data needs.
Statistics Canada are pioneering in some innovative linkages across various domains to help answer cross-cutting questions. For example, Longitudinal Administrative Databank linking longitudinal tax records to numerous other data files including tax records of spouses and children in the household, longitudinal Immigration Database linkage key and health records, is used to study economic impact of hospitalization, as well as better understand health outcomes of immigrants by various dimensions including socio-economic status. Other examples include the pilot projects linking Canadian Financial Capability Survey to tax records, to gauge the relationship between financial literacy and annual retirement savings behavior and Intergenerational Income Database being linked to Census to understand socio-economic factors affecting the intergenerational mobility.
Rapid growth in data availability for research also poses new challenges on IM/IT, governance, access, capacity building, etc. As Statistics Canada has moved on a path of modernization, data integration is key to the development of new data sources to fill information gaps as we move forward.

A fundamental methodological question guides this paper: How can operations managers and researchers learn from the applied activity that characterises the practice of OM? To address this question, defines and explores the legitimacy of an action‐oriented research approach in OM, and the particular logic and value of applying action research (AR) to the description and understanding of issues in OM. Begins with a review of the role of empirical research in OM and how AR features within the OM research literature. Introduces the theory and practice of AR and outlines the AR cycle and how AR is implemented. Finally, describes the skills required to engage in AR and explores issues in generating theory. Concludes with the assertion that AR is relevant and valid for the discipline of OM in its ability to address the operational realities experienced by practising managers while simultaneously contributing to knowledge.