Towards a Generic Cloud-Based Virtual Research Environment

2011 ◽  
Author(s):  
Bastian Roth ◽  
Robin Hecht ◽  
Bernhard Volz ◽  
Stefan Jablonski
Keyword(s):  
Research Environment ◽  
Virtual Research Environment

scholarly journals How to improve quality of care in overcrowded emergency departments? Development and evaluation of a virtual research environment. (Preprint)

2019 ◽  
Author(s):  
Charles-Henri Houze Cerfon ◽  
Christine Vaissié ◽  
Laurent Gout ◽  
Bruno Bastiani ◽  
Sandrine Charpentier ◽  
...  
Keyword(s):  
Emergency Department ◽  
Emergency Medicine ◽  
Quality Of Care ◽  
Simulated Patients ◽  
Emergency Physicians ◽  
Research Environment ◽  
Significant Difference ◽  
Ed Overcrowding ◽  
Virtual Research Environment

BACKGROUND Despite wide literature on ED overcrowding, scientific knowledge on emergency physicians’ cognitive processes coping with overcrowding is limited. OBJECTIVE We sought to develop and evaluate a virtual research environment that will allow us to study the effect of physicians’ strategies and behaviours on quality of care in the context of emergency department overcrowding. METHODS A simulation-based observational study was conducted over two stages: the development of a simulation model and its evaluation. A research environment in Emergency Medicine combining virtual reality and simulated patients has been designed and developed. Then, twelve emergency physicians took part in simulation scenarios and had to manage thirteen patients during a 2-hour period. The study outcome was the authenticity of the environment through realism, consistency and mastering. The realism was the resemblance perceived by the participants between virtual and real Emergency Department. The consistency of the scenario and the participants’ mastering of the environment was expected for 90% of the participants. RESULTS The virtual emergency department was considered realistic with no significant difference from the real world concerning facilities and resources except for the length of time of procedures that was perceived to be shorter. 100% of participants deemed that patient information, decision-making and managing patient flow were similar to real clinical practice. The virtual environment was well-mastered by all participants over the course of the scenarios. CONCLUSIONS The new simulation tool, Virtual Research Environment in Emergency Medicine has been successfully designed and developed. It has been assessed as perfectly authentic by emergency physicians compared to real EDs and thus offers another way to study human factors, quality of care and patient safety in the context of ED overcrowding.

VirES for Swarm & Virtual Research Environment: Software, guides & infrastructure to boost accessibility of Swarm

2021 ◽  
Author(s):  
Ashley Smith ◽  
Martin Pačes
Keyword(s):  
Community Involvement ◽  
Geomagnetic Field ◽  
Data Retrieval ◽  
Product Portfolio ◽  
It Services ◽  
Research Environment ◽  
Wide Range ◽  
Geomagnetic Field Models ◽  
Virtual Research Environment ◽  
Model Residuals

<p>ESA's Swarm mission continues to deliver excellent data providing insight into a wide range of geophysical phenomena. The mission is an important asset whose data are used within a number of critical resources, from geomagnetic field models to space weather services. As the product portfolio grows to better deliver on the mission's scientific goals, we face increasing complexity in accessing, processing, and visualising the data and models. ESA provides “VirES for Swarm” [1] (developed by EOX IT Services) to help solve this problem. VirES is a web-based data retrieval and visualisation tool where the majority of Swarm products are available. VirES has a graphical interface but also a machine-to-machine interface (API) for programmable use (a Python client is provided). The VirES API also provides access to geomagnetic ground observatory data, as well as forwards evaluation of geomagnetic field models to give data-model residuals. The "Virtual Research Environment" (VRE) adds utility to VirES with a free cloud-based JupyterLab interface allowing scientists to immediately program their own analysis of Swarm products using the Python ecosystem. We are augmenting this with a suite of Jupyter notebooks and dashboards, each targeting a specific use case, and seek community involvement to grow this resource.</p><p>[1] https://vires.services</p>

Supporting Doctoral Students through the Personalisation of a Graduate Virtual Research Environment

2016 ◽  
Vol 7 (4) ◽  
pp. 54-71
Author(s):  
Robert Costello
Keyword(s):  
Goal Orientation ◽  
Doctoral Students ◽  
Learning Theories ◽  
Research Approach ◽  
Mixed Method Research ◽  
Research Environment ◽  
Postgraduate Students ◽  
Personalised Learning ◽  
Rich Media ◽  
Virtual Research Environment

This paper offers a case study in which a traditional Learning Management System (LMS) was enhanced through learning theories and web-based technologies to support the development of doctoral students. The model being used here, can address and support a personalised learning approach to assist postgraduate students, as part of matching their skills with a repository of rich media and activities. The mixed method research approach adopted here aided into the investigation into the Graduate Virtual Research Environment (GVRE) while analysing factors like usability, accessibility, goal orientation and evolving the learners' needs. The author argues by tailoring the gap between learning theories and technology with the complexities of human nature one can adapt the educational setting to provide a LMS which can be personalized for doctoral students.

Old habits, new dynamics: a case study of Web 2.0 in collaborative humanities and arts research

2011 ◽  
Vol 5 (2) ◽  
pp. 147-157
Author(s):  
Dan Goren
Keyword(s):  
Web 2.0 ◽  
Digital Technology ◽  
Large Scale ◽  
Web 2.0 Technologies ◽  
Research Project ◽  
Research Practices ◽  
Research Environment ◽  
Arts And Humanities ◽  
Virtual Research Environment

Whilst the application of online multimedia digital technology within arts and humanities research has burgeoned over the last decade, the practice of openly conducting collaborative and in particular discursive research publicly online remains one of the most unfamiliar and conceptually problematic areas for many academics in the field. Based on user surveys, blog posts, and forum discussions, this article provides both an account and assessment of Web 2.0 technologies in use on a large-scale arts and humanities research project. Examining usage by and impressions of both the project team and the wider community of users, it investigates both the advantages gained and problems faced through the use of a virtual research environment (VRE). It also pays special attention to the use of video and its implications for research practices.

A Web-Based Virtual Research Environment for Marine Data

2020 ◽  
Author(s):  
Merret Buurman ◽  
Sebastian Mieruch ◽  
Alexander Barth ◽  
Charles Troupin ◽  
Peter Thijsse ◽  
...  
Keyword(s):  
User Interfaces ◽  
User Authentication ◽  
File Systems ◽  
User Interaction ◽  
Security Measures ◽  
Desktop Computer ◽  
Research Environment ◽  
Synchronization Mechanism ◽  
Virtual Research Environment ◽  
The Individual

<p>Like most areas of research, the marine sciences are undergoing an increased use of observational data from a multitude of sensors. As it is cumbersome to download, combine and process the increasing volume of data on the individual researcher's desktop computer, many areas of research turn to web- and cloud-based platforms. In the scope of the SeaDataCloud project, such a platform is being developed together with the EUDAT consortium.</p><p>The SeaDataCloud Virtual Research Environment (VRE) is designed to give researchers access to popular processing and visualization tools and to commonly used marine datasets of the SeaDataNet community. Some key aspects such as user authentication, hosting input and output data, are based on EUDAT services, with the perspective of integration into EOSC at a later stage.</p><p>The technical infrastructure is provided by five large EUDAT computing centres across Europe, where operational environments are heterogeneous and spatially far apart. The processing tools (pre-existing as desktop versions) are developed by various institutions of the SeaDataNet community. While some of the services interact with users via command line and can comfortably be exposed as JupyterNotebooks, many of them are very visual (e.g. user interaction with a map) and rely heavily on graphical user interfaces.</p><p>In this presentation, we will address some of the issues we encountered while building an integrated service out of the individual applications, and present our approaches to deal with them.</p><p>Heterogeneity in operational environments and dependencies is easily overcome by using Docker containers. Leveraging processing resources all across Europe is the most challenging part as yet. Containers are easily deployed anywhere in Europe, but the heavy dependence on (potentially shared) input data, and the possibility that the same data may be used by various services at the same time or in quick succession means that data synchronization across Europe has to take place at some point of the process. Designing a synchronization mechanism that does this without conflicts or inconsistencies, or coming up with a distribution scheme that minimizes the synchronization problem is not trivial.</p><p>Further issues came up during the adaptation of existing applications for server-based operation. This includes topics such as containerization, user authentication and authorization and other security measures, but also the locking of files, permissions on shared file systems and exploitation of increased hardware resources.</p>

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