Geophysics data management at the UK Polar Data Centre

2020 ◽  
Author(s):  
Alice Fremand
Keyword(s):  
Southern Ocean ◽  
Data Management ◽  
Focal Point ◽  
Geological Structure ◽  
Environmental Data ◽  
Environmental Research ◽  
Data Centre ◽  
Seabed Topography ◽  
Set Up ◽  
The Uk

<p>The UK Polar Data Centre (UK PDC, https://www.bas.ac.uk/data/uk-pdc/) is the focal point for Arctic and Antarctic environmental data management in the UK. Part of the Natural Environmental Research Council’s (NERC) and based at the British Antarctic Survey (BAS), the UK PDC coordinate the management of polar data from UK-funded research and support researchers in complying with national and international data legislation and policy.</p><p>Reflecting the multidisciplinary nature of polar science, the datasets handled by the data centre are extremely diverse. Geophysics datasets include bathymetry, aerogravity, aeromagnetics and airborne radar depth soundings.  These data provide information about the seabed topography, the Earth’s geological structure and the ice thickness. The datasets are used in a large variety of scientific research and projects at BAS. For instance, the significant seabed multibeam coverage of the Southern Ocean enables BAS to be a major contributor to multiple international projects such as International Bathymetric Chart of the Southern Ocean (IBCSO) and Seabed 2030. That is why, it is crucial for the UK Polar Data Centre (PDC) to develop robust procedures to manage these data.</p><p>In the last few months’, the procedures to preserve, archive and distribute all these data have been revised and updated to comply with the recommendations from the Standing Committee on Antarctic Data Management (SCADM) and the requirements of CoreTrustSeal for a future certification. The goal is to develop standard ways to publish FAIR (Findable, Accessible, Interoperable and Reusable) data and set up workflows for long-term preservation and access to UK PDC holdings.</p>

Managing Geophysics datasets: Challenges and perspectives from the UK Polar Data Centre

2021 ◽  
Author(s):  
Alice Fremand
Keyword(s):  
Southern Ocean ◽  
New Technologies ◽  
Open Data ◽  
Management Plan ◽  
Airborne Radar ◽  
Complex Data ◽  
Data Systems ◽  
Data Centre ◽  
Radar Echo ◽  
The Uk

<p>Today, open data policies are better understood by scientists and writing a data management plan is part of every Natural Environment Research Council (NERC) project submission. But that means that scientists are expecting more and more from their data publication or data requests: they want interactive maps, they want more complex data systems, they want to query data and publish them rapidly.</p><p>At the UK Polar Data Centre (PDC, https://www.bas.ac.uk/data/uk-pdc/), the datasets are very diverse, reflecting the multidisciplinary nature of polar science. Geophysics datasets include bathymetry, aerogravity, aeromagnetics and airborne radar depth soundings. Encouraging reuse and increasing the value of data is at the core of PDC’s mission. Data published by the PDC are used in a large variety of scientific research projects internationally. For instance, the significant datasets from seabed multibeam coverage of the Southern Ocean enables the British Antarctic Survey to be a major contributor to multiple projects such as International Bathymetric Chart of the Southern Ocean (IBCSO) and Seabed 2030. The wide coverage of airborne radar echo sounding over Antarctica is crucial for the SCAR BEDMAP3 project which aims to produce new map of Antarctic ice thickness and bed topography for the international glaciology and geophysical community.</p><p>Over the last year, procedures to preserve, archive and distribute these data have been revised and updated to comply with the requirements of CoreTrustSeal. But we are still looking for new technologies, tools, open-source software that will help us bring interactivity to our datasets and reach the expectations of scientists.</p>

scholarly journals The LZ UK Data Centre

2019 ◽  
Vol 214 ◽  
pp. 03046
Author(s):  
Daniela Bauer ◽  
David Colling ◽  
Simon Fayer ◽  
Elena Korolkova ◽  
Alexander Richards ◽  
...  
Keyword(s):  
Computing System ◽  
Data Centre ◽  
Computing Model ◽  
The Usa ◽  
Set Up ◽  
Under Construction ◽  
The Uk ◽  
Sanford Underground Research Facility ◽  
Data Centres ◽  
Central Data

LUX-ZEPLIN (LZ) is a Dark Matter experiment based at the Sanford Underground Research Facility in South Dakota, USA. It is currently under construction and aims to start data taking in 2020. Its computing model stipulates two independent data centres, one in the USA and one in the UK. Both data centres will hold a complete copy of the experiment’s data and are expected to handle all aspects of data processing and user analysis. Here we discuss the set-up of the UK data centre within the context of the existing UK Grid infrastructure and show that a mature distributed computing system such as the Grid can be extended to serve as a central data centre for a reasonably large non-LHC experiment.

scholarly journals Implementation of a Data Management Quality Management Framework at the Marine Institute, Ireland

2019 ◽  
Vol 13 (2) ◽  
pp. 509-521 ◽  
Author(s):  
Adam Leadbetter ◽  
Ramona Carr ◽  
Sarah Flynn ◽  
Will Meaney ◽  
Siobhan Moran ◽  
...  
Keyword(s):  
Quality Management ◽  
Data Management ◽  
Information Exchange ◽  
Environmental Data ◽  
Management Framework ◽  
Data Centre ◽  
Management Quality ◽  
Quality Management Model ◽  
Oceanographic Data ◽  
Marine Institute

AbstractThe International Oceanographic Data and Information Exchange of UNESCO’s Intergovernmental Oceanographic Commission (IOC-IODE) released a quality management framework for its National Oceanographic Data Centre (NODC) network in 2013. This document is intended, amongst other goals, to provide a means of assistance for NODCs to establish organisational data management quality management systems. The IOC-IODE’s framework also promotes the accreditation of NODCs which have implemented a Data Management Quality Management Framework adhering to the guidelines laid out in the IOC-IODE’s framework. In its submission for IOCE-IODE accreditation, Ireland’s National Marine Data Centre (hosted by the Marine Institute) included a Data Management Quality Management model; a manual detailing this model and how it is implemented across the scientific and environmental data producing areas of the Marine Institute; and, at a more practical level, an implementation pack consisting of a number of templates to assist in the compilation of the documentation required by the model and the manual.

Risk Management on Information Security in ABC Company

2017 ◽  
Vol 4 (1) ◽  
pp. 62-66
Author(s):  
Luyen Ha Nam
Keyword(s):  
Risk Management ◽  
Information Security ◽  
Data Management ◽  
Management System ◽  
Risk Mitigation ◽  
Data Management System ◽  
Data Centre ◽  
Long Time ◽  
Mitigation Action ◽  
Better Than

From long, long time ago until nowadays information still takes a serious position for all aspect of life, fromindividual to organization. In ABC company information is somewhat very sensitive, very important. But how wekeep our information safe, well we have many ways to do that: in hard drive, removable disc etc. with otherorganizations they even have data centre to save their information. The objective of information security is to keep information safe from unwanted access. We applied Risk Mitigation Action framework on our data management system and after several months we have a result far better than before we use it: information more secure, quickly detect incidents, improve internal and external collaboration etc.

scholarly journals Collateral impact of COVID-19: why should children continue to suffer?

2021 ◽  
Author(s):  
Prasad Nagakumar ◽  
Ceri-Louise Chadwick ◽  
Andrew Bush ◽  
Atul Gupta
Keyword(s):  
Young People ◽  
Large Scale ◽  
Hospital Admissions ◽  
Severe Disease ◽  
Children And Young People ◽  
Collateral Effects ◽  
Rsv Infection ◽  
Syncytial Virus ◽  
Set Up ◽  
The Uk

AbstractThe COVID-19 pandemic caused by SARS-COV-2 virus fortunately resulted in few children suffering from severe disease. However, the collateral effects on the COVID-19 pandemic appear to have had significant detrimental effects on children affected and young people. There are also some positive impacts in the form of reduced prevalence of viral bronchiolitis. The new strain of SARS-COV-2 identified recently in the UK appears to have increased transmissibility to children. However, there are no large vaccine trials set up in children to evaluate safety and efficacy. In this short communication, we review the collateral effects of COVID-19 pandemic in children and young people. We highlight the need for urgent strategies to mitigate the risks to children due to the COVID-19 pandemic. What is Known:• Children and young people account for <2% of all COVID-19 hospital admissions• The collateral impact of COVID-19 pandemic on children and young people is devastating• Significant reduction in influenza and respiratory syncytial virus (RSV) infection in the southern hemisphere What is New:• The public health measures to reduce COVID-19 infection may have also resulted in near elimination of influenza and RSV infections across the globe• A COVID-19 vaccine has been licensed for adults. However, large scale vaccine studies are yet to be initiated although there is emerging evidence of the new SARS-COV-2 strain spreading more rapidly though young people.• Children and young people continue to bear the collateral effects of COVID-19 pandemic

scholarly journals Handling Complex Missing Data Using Random Forest Approach for an Air Quality Monitoring Dataset: A Case Study of Kuwait Environmental Data (2012 to 2018)

2021 ◽  
Vol 18 (3) ◽  
pp. 1333
Author(s):  
Ahmad R. Alsaber ◽  
Jiazhu Pan ◽  
Adeeba Al-Hurban 
Keyword(s):  
Air Quality ◽  
Missing Data ◽  
Random Forest ◽  
Missing Values ◽  
Imputation Method ◽  
Environmental Data ◽  
Environmental Research ◽  
Quality Data ◽  
Data Set ◽  
Air Quality Data

In environmental research, missing data are often a challenge for statistical modeling. This paper addressed some advanced techniques to deal with missing values in a data set measuring air quality using a multiple imputation (MI) approach. MCAR, MAR, and NMAR missing data techniques are applied to the data set. Five missing data levels are considered: 5%, 10%, 20%, 30%, and 40%. The imputation method used in this paper is an iterative imputation method, missForest, which is related to the random forest approach. Air quality data sets were gathered from five monitoring stations in Kuwait, aggregated to a daily basis. Logarithm transformation was carried out for all pollutant data, in order to normalize their distributions and to minimize skewness. We found high levels of missing values for NO2 (18.4%), CO (18.5%), PM10 (57.4%), SO2 (19.0%), and O3 (18.2%) data. Climatological data (i.e., air temperature, relative humidity, wind direction, and wind speed) were used as control variables for better estimation. The results show that the MAR technique had the lowest RMSE and MAE. We conclude that MI using the missForest approach has a high level of accuracy in estimating missing values. MissForest had the lowest imputation error (RMSE and MAE) among the other imputation methods and, thus, can be considered to be appropriate for analyzing air quality data.

scholarly journals Towards Zero Emissions Noosa

2019 ◽  
Vol 11 (17) ◽  
pp. 4679
Author(s):  
Carina Anderson ◽  
Robert Passey ◽  
Jeremy De Valck ◽  
Rakibuzzaman Shah
Keyword(s):  
Community Engagement ◽  
Focal Point ◽  
Contextual Information ◽  
Renewable Electricity ◽  
Community Group ◽  
Course Of Action ◽  
Engagement Process ◽  
Set Up ◽  
External Consultant

This paper reports on a case study of the community group Zero Emissions Noosa, whose goal is for 100% renewable electricity in the Noosa Shire (Queensland, Australia) by 2026. Described within this paper are the processes used by Zero Emissions Noosa to set up their zero emissions plan, involving community engagement and the use of an external consultant. The external consultant was employed to produce a detailed report outlining how to successfully achieve zero emissions from electricity in the Noosa Shire by 2026. This paper explains how and why the community engagement process used to produce the report was just as important as the outcomes of the report itself. Modeling was undertaken, and both detailed and contextual information was provided. Inclusion of the community in developing the scenario parameters for the modeling had a number of benefits including establishing the context within which their actions would occur and focusing their efforts on options that were technically feasible, financially viable and within their capabilities to implement. This provided a focal point for the community in calling meetings and contacting stakeholders. Rather than prescribing a particular course of action, it also resulted in a toolbox of options, a range of possible solutions that is flexible enough to fit into whatever actions are preferred by the community. The approach and outcomes discussed in this paper should, therefore, be useful to other communities with similar carbon emission reduction goals.

The Unfinished Sexual Revolution

1971 ◽  
Vol 3 (4) ◽  
pp. 473-492 ◽  
Author(s):  
Laurie Taylor
Keyword(s):  
Sexual Revolution ◽  
Editorial Note ◽  
Memorial Lecture ◽  
Human Welfare ◽  
The World ◽  
Control Clinic ◽  
History Of ◽  
Set Up ◽  
The Uk ◽  
The University

Editorial note. March 17th, 1971 was the fiftieth anniversary of the opening by Marie Stopes of her birth control clinic in Holloway, London, the first of its kind in the UK and possibly in the world. In recognition of this notable event, the Board of the Marie Stopes Memorial Foundation, in conjunction with the University of York, has established a Marie Stopes Memorial Lecture to be given annually for a term of years. The first of the series was delivered on 12th March in the Department of Sociology, University of York, by Mr Laurie Taylor of that department. In introducing the speaker, Dr G. C. L. Bertram, the Chairman, emphasized the great contribution made by Marie Stopes to human welfare and gave a brief history of the clinic, which was soon moved to Whitfield Street. On Marie Stopes' death in 1958 the Memorial Foundation was set up to manage the clinic, still in Whitfield Street, and as a working monument to a great women.Mr Taylor's script is printed below as delivered and it will be seen that the lecture was a notable one. Not only that, but it was delivered with the verve of a Shakespearean actor and the members of the large and appreciative audience will not readily forget the occasion.

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