scholarly journals Use and Impact of UK Research Data Centres

2011 ◽  
Vol 6 (1) ◽  
pp. 20-31
Author(s):  
Ellen Collins
Keyword(s):  
Research Data ◽  
Data Centre ◽  
Maximum Value ◽  
Political Impact ◽  
Research Questions ◽  
Access To Data ◽  
Data Centres ◽  
Research Efficiency

UK data centres are an important part of efforts to gain maximum value from research data. However, if they are to operate effectively, the services that they provide must be based upon an understanding of researchers' practices and needs. Furthermore, in order to build a case for ongoing funding, data centres must be able to demonstrate their value to researchers work and, increasingly, their contribution to wider political "impact" agendas. This paper presents the findings of a survey of users of five UK data centres. It suggests that research data centres are highly valued by their users. Benefits appear to be particularly strong around improving research efficiency, especially access to data. Data centres are less important in terms of stimulating novel research questions. Despite a few interesting cases of observable impact, in the main it remains difficult to understand the wider reach of research which draws upon data centre resources.

German labour market data – Data provision and access for the international scientific community

2020 ◽  
Vol 21 (3) ◽  
pp. 313-333
Author(s):  
Dana Müller ◽  
Stefanie Wolter
Keyword(s):  
Labour Market ◽  
Survey Data ◽  
Scientific Community ◽  
Market Research ◽  
Research Data ◽  
International Scientific Community ◽  
High Quality ◽  
Data Centre ◽  
Integrated Employment ◽  
Data Provision

AbstractThe Research Data Centre at the Institute for Employment Research (RDC-IAB) has been offering high-quality administrative and survey data on the German labour market for 15 years and has become one of the most important locations worldwide for researchers interested in data for labour market research. This article provides an overview of the RDC-IAB, including its data and access modes. The article presents two datasets in more detail: the Sample of Integrated Employment Biographies, a classic dataset, and the Linked Personnel Panel, a new dataset. Finally, this article provides insights into future infrastructure and data developments.

Cleaner, greener data centres

ITNOW ◽  
2021 ◽  
Vol 63 (4) ◽  
pp. 18-20
Author(s):  
John Booth
Keyword(s):  
Climate Change ◽  
Energy Efficiency ◽  
Energy Use ◽  
Data Centre ◽  
Eu Directives ◽  
Data Centres

Abstract John Booth MBCS, Data Centre Energy Efficiency and Sustainability Consultant at Carbon3IT, explores the detrimental trajectory of data centre energy use, against a backdrop of COP26, climate change and proposed EU directives.

scholarly journals GAMS – An infrastructure for the long-term preservation and publication of research data from the Humanities

2018 ◽  
Vol 71 (1) ◽  
pp. 207-216 ◽  
Author(s):  
Johannes Hubert Stigler ◽  
Elisabeth Steiner
Keyword(s):  
System Architecture ◽  
Academic Research ◽  
Research Data ◽  
Data Repository ◽  
Data Repositories ◽  
Domain Specific ◽  
Preservation Policy ◽  
Long Term Preservation ◽  
Data Centres

Research data repositories and data centres are becoming more and more important as infrastructures in academic research. The article introduces the Humanities’ research data repository GAMS, starting with the system architecture to preservation policy and content policy. Challenges of data centres and repositories and the general and domain-specific approaches and solutions are outlined. Special emphasis lies on the sustainability and long-term perspective of such infrastructures, not only on the technical but above all on the organisational and financial level.

scholarly journals Evaluating Modern Data Centre Transport Protocols in OMNeT++/INET

10.29007/h27x ◽  
2019 ◽  
Author(s):  
Mohammed Alasmar ◽  
George Parisis
Keyword(s):  
Load Balancing ◽  
Simulation Model ◽  
Network Topology ◽  
Transport Protocol ◽  
Data Transport ◽  
Transport Protocols ◽  
Data Centre ◽  
Evaluation Platform ◽  
Data Centres

In this paper we present our work towards an evaluation platform for data centre transport protocols. We developed a simulation model for NDP1, a modern data transport protocol in data centres, a FatTree network topology and per-packet ECMP load balancing. We also developed a data centre environment that can be used to evaluate and compare data transport protocols, usch as NDP and TCP. We describe how we integrated our model with the INET Framework and present example simulations to showcase the workings of the developed framework. For that, we ran a comprehensive set of experiments and studied different components and parameters of the developed models.

scholarly journals MAPPING THE CONCEPT OF A GOOD SCHOOL WITH TEACHERS’ CHARACTERISTICS IN THE CONTEXT OF A GOOD SCHOOL CONCEPT

2019 ◽  
Vol 10 (2) ◽  
pp. 32-42
Author(s):  
Roma KRIAUČIŪNIENĖ ◽  
VILIJA TARGAMADZĖ
Keyword(s):  
Qualitative Research ◽  
General Education ◽  
Research Data ◽  
Structured Interviews ◽  
Community Based ◽  
School Activities ◽  
Good School ◽  
Research Findings ◽  
Research Questions ◽  
School Concept

Aim. The concept of Good School was formed in 2015, however, the implementation of it has been rather slow. Therefore, the research aim of this article is to identify the educational experts’ viewpoints on the concept. The following questions have been raised to specify the aim: if the concept of the school of general education, presented as Good School, is adequately understood, what features should a teacher have in order to implement the concept of Good School? Methods. To answer the research questions a qualitative research by using structured interviews was carried out, i.e. experts’ written surveys were analyzed. The study revealed three positions that are discussed in this article: the concept of Good School, the mission and teachers’ features, which are interpreted in the context of the concept of Good School, albeit in a particular way. Results. The analysis of the empirical research data revealed that insufficient emphasis is placed on the value aspect, modelling of community-based school activities and their reflection. The research findings also showed that there has been a considerable lack of attention paid to some of the teacher's competences – there has been a lack of experts’ focus on the personalization of the educational content, its construction in the interaction with the elements of the pedagogical system, the reflection of pedagogical activities, and others. Conclusions. The concept of Good School is understood by the experts as a map, a conceptual idea, a guideline unfolding the schools’ specificity. The implementation of the concept of Good School should be based on the ideas of constructionism  that open the pathways of common  development,  realization, and improvement of Good School.

Open Polar: a new freely search service of publications and research data of Polar Regions

2021 ◽  
Author(s):  
Tamer Abu-Alam ◽  
Karl Magnus Nilsen ◽  
Obiajulu Odu ◽  
Leif Longva ◽  
Per Pippin Aspaas
Keyword(s):  
Scientific Community ◽  
Environmental Changes ◽  
Research Data ◽  
The Arctic ◽  
Polar Regions ◽  
Search Service ◽  
Norwegian Polar Institute ◽  
Under Construction ◽  
Access To Data ◽  
Beta Version

<p>Research data plays a key role in monitoring and predicting any natural phenomena, including changes in the Polar Regions. The limited access to data restricts the ability of researchers to monitor, predict and model environmental changes and their socio-economic repercussions. In a recent survey of 113 major polar research institutions, we found out that an estimated 60% of the existing polar research data is unfindable through common search engines and can only be accessed through institutional webpages. In social science and indigenous knowledge, this findability gap is even higher, approximately 84% of the total existing data. This raises an awareness sign and the call for the need of the scientific community to collect information on the global output of research data and publications related to the Polar Regions and present it in a homogenous, seamless database.</p><p>In this contribution, we present a new, open access discovery service, Open Polar, with the purpose of rendering polar research more visible and retrievable to the research community as well as to the interested public, teachers, students and decision-makers. The new service is currently under construction and will be hosted by UiT The Arctic University of Norway in close collaboration with the Norwegian Polar Institute and other international partners. The beta version of the Open Polar was made available in February 2021. We welcome comments and suggestions from the scientific community to the beta version, while we plan to launch the stable production version of the service by summer 2021. The beta version of the service can already be tested at the URL: www.openpolar.no</p>

Secure Cloud Auditability for Virtual Machines by Adaptive Characterization Using Machine Learning Methods

2021 ◽  
Vol 4 (3) ◽  
pp. 59-75
Author(s):  
Shesagiri Taminana ◽  
◽  
Lalitha Bhaskari ◽  
Arwa Mashat ◽  
Dragan Pamučar ◽  
...  
Keyword(s):  
Time Complexity ◽  
Virtual Machines ◽  
Application Development ◽  
Predictive Regression ◽  
Data Centre ◽  
Machine Learning Methods ◽  
Highly Sensitive ◽  
Increasing Demand ◽  
Application Developers ◽  
Data Centres

With the Present days increasing demand for the higher performance with the application developers have started considering cloud computing and cloud-based data centres as one of the prime options for hosting the application. Number of parallel research outcomes have for making a data centre secure, the data centre infrastructure must go through the auditing process. During the auditing process, auditors can access VMs, applications and data deployed on the virtual machines. The downside of the data in the VMs can be highly sensitive and during the process of audits, it is highly complex to permits based on the requests and can increase the total time taken to complete the tasks. Henceforth, the demand for the selective and adaptive auditing is the need of the current research. However, these outcomes are criticised for higher time complexity and less accuracy. Thus, this work proposes a predictive method for analysing the characteristics of the VM applications and the characteristics from the auditors and finally granting the access to the virtual machine by building a predictive regression model. The proposed algorithm demonstrates 50% of less time complexity to the other parallel research for making the cloud-based application development industry a safer and faster place.

Cybersecurity

2020 ◽  
pp. 255-274
Author(s):  
Adel Ismail Al-Alawi ◽  
Arpita A. Mehrotra ◽  
Sara Abdulrahman Al-Bassam
Keyword(s):  
Qualitative Case Study ◽  
Research Data ◽  
Higher Learning ◽  
The Internet ◽  
Semistructured Interviews ◽  
Research Questions ◽  
Learning Institutions ◽  
The Way

The internet has revolutionized the way people communicate, how they manage their business, and even how they conduct their studies. Organizations can conduct meetings virtually and store all their data online. With this convenience, however, comes the risk of cybercrime (CC). Some of the world's most renowned organizations have found themselves having to incur huge recovery costs after falling prey to CC. Higher learning institutions' databases are increasingly falling victim to CCs, owing to the vast amounts of personal and research data they harbor. Despite this, the area of CCs in learning institutions remains understudied. This chapter seeks to identify how CC is manifested in such institutions and the specific cybersecurity measures that stakeholders could use to minimize their exposure to the same. The qualitative case study was designed to explore the research questions, and collected data through semistructured interviews. The findings showed hacking, phishing, and spoofing as the most common manifestations of cybercrime in higher learning institutions.

Addressing Thermal Challenges in Design of Data Centres

2010 ◽  
Author(s):  
Babak Fakhim ◽  
Srinarayana Nagarathinam ◽  
Simon Wong ◽  
Masud Behnia ◽  
Steve Armfield
Keyword(s):  
Energy Consumption ◽  
Hot Spots ◽  
Heat Dissipation ◽  
Field Measurements ◽  
Temperature Fields ◽  
Power Requirement ◽  
Data Centre ◽  
It Systems ◽  
Improved Design ◽  
Data Centres

Aggregation of small networking hardware has led to an ever increasing power density in data centres. The energy consumption of IT systems is continuing to rise substantially owing to the demands of electronic information and storage requirements. Energy consumption of data centres can be severely and unnecessarily high due to inadequate localised cooling and densely packed rack layouts. However, as heat dissipation in data centres rises by orders of magnitude, inefficiencies such as air recirculation causing hot spots, leading to flow short-circuiting will have a significant impact on the thermal manageability and energy efficiency of the cooling infrastructure. Therefore, the thermal management of high-powered electronic components is a significant challenge for cooling of data centres. In this project, an operational data centre has been studied. Field measurements of temperature have been performed. Numerical analysis of flow and temperature fields is conducted in order to evaluate the thermal behaviour of the data centre. A number of undesirable hot spots have been identified. To rectify the problem, a few practical design solutions to improve the cooling effectiveness have been proposed and examined to ensure a reduced air-conditioning power requirement. Therefore, a better understanding of the cooling issues and the respective proposed solutions can lead to an improved design for future data centres.

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