scholarly journals Peer Review #2 of "Plant data visualisation using network graphs (v0.1)"

2018 ◽  
Author(s):  
OL Pescott
Keyword(s):  
Peer Review ◽  
Data Visualisation ◽  
Plant Data

scholarly journals Data visualisation using R, for researchers who don't use R

2021 ◽  
Author(s):  
Emily Nordmann ◽  
Phil McAleer ◽  
Wilhelmiina Toivo ◽  
Helena Paterson ◽  
Lisa Marie DeBruine
Keyword(s):  
Open Source ◽  
Peer Review ◽  
Prior Experience ◽  
User Feedback ◽  
Data Visualisation ◽  
Interactive Version

In addition to benefiting reproducibility and transparency, one of the advantages of using R is that researchers have a much larger range of fully customisable data visualisations options than are typically available in point and-click software, due to the open-source nature of R. These visualisation options not only look attractive, but can increase transparency about the distribution of the underlying data rather than relying on commonly used visualisations of aggregations such as bar charts of means. In this tutorial, we provide a practical introduction to data visualisation using R, specifically aimed at researchers who have little to no prior experience of usingR. First we detail the rationale for using R for data visualisation and introduce the “grammar of graphics” that underlies data visualisation using the ggplot package. The tutorial then walks the reader through how to replicate plots that are commonly available in point-and-click software such as histograms and boxplots, as well as showing how the code for these “basic” plots can be easily extended to less commonly available options such as violin-boxplots. The dataset and code used in this tutorial as well as an interactive version with activity solutions, additional resources and advanced plotting options is available at https://osf.io/bj83f/. This is a pre-submission manuscript and tutorial and has not yet undergone peer review. We welcome user feedback which you can provide using this form: https://forms.office.com/r/ba1UvyykYR. Please note that this tutorial is likely to undergo changes before it is accepted for publication and we would encourage you to check for updates before citing.

Requirements for bespoke ICU Dashboard in response to the COVID-19 Pandemic (Preprint)

2021 ◽  
Author(s):  
Brittany Davidson ◽  
Katiuska Mara Ferrer Portillo ◽  
Marcli Wac ◽  
Chris McWilliams ◽  
Chris Bourdeaux ◽  
...  
Keyword(s):  
Peer Review ◽  
Information Overload ◽  
High Volume ◽  
Data Visualisation ◽  
Specific Interest ◽  
Structured Interviews ◽  
High Demand ◽  
Job Roles ◽  
Design Requirements ◽  
And Shifts

BACKGROUND Intensive Care Units (ICUs) around the world are in high demand due to patients with COVID-19 requiring hospitalization. As researchers at the [removed for peer review], we were approached to develop a bespoke data visualisation dashboard to assist two local ICUs during the pandemic. OBJECTIVE To conduct interviews with ICU staff in [removed for peer review] to elicit requirements for a bespoke dashboard to monitor high volume of patients, particularly during the pandemic. METHODS We conducted six semi-structured interviews with clinical staff to obtain an overview of their requirements for the dashboard and to ensure its ultimate suitability for end-users. Interview questions aimed to understand the job roles undertaken in the ICU, the potential uses of the dashboard, the specific issues associated with managing COVID-19 patients, the key data of interest and any concerns about the introduction of a dashboard into the ICU. RESULTS From our interviews, we found the following five key design requirements. (1) A flexible dashboard, where the functionality can be updated quickly and effectively to respond to emerging information about the management of this new disease. (2) Customizability is critical, as each staff member should be able to adapt the dashboard to display parameters of specific interest to them, and also to prevent information overload. (3) Having real-time, reliable and clear trends visible in the patient data. (4) Warnings and notifications must occur at appropriate times to prompt a quick and efficient response from staff. (5) Finally, an ability to track staff workloads in order to manage staff handovers and shifts more efficiently. CONCLUSIONS The study findings confirms that digital solutions for ICU use would potentially reduce the cognitive load of ICU staff and reduce clinical errors at a time of notably high demand of intensive healthcare.

scholarly journals Plant data visualisation using network graphs

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5579
Author(s):  
Afrina Adlyna Mohamad-Matrol ◽  
Siow-Wee Chang ◽  
Arpah Abu
Keyword(s):  
Morphological Characteristics ◽  
Graph Model ◽  
Graphical Form ◽  
Computer Assisted ◽  
Data Visualisation ◽  
Model Data ◽  
Network Graph ◽  
Novice Users ◽  
Plant Data ◽  
Meaningful Relationships

BackgroundThe amount of plant data such as taxonomical classification, morphological characteristics, ecological attributes and geological distribution in textual and image forms has increased rapidly due to emerging research and technologies. Therefore, it is crucial for experts as well as the public to discern meaningful relationships from this vast amount of data using appropriate methods. The data are often presented in lengthy texts and tables, which make gaining new insights difficult. The study proposes a visual-based representation to display data to users in a meaningful way. This method emphasises the relationships between different data sets.MethodThis study involves four main steps which translate text-based results from Extensible Markup Language (XML) serialisation format into graphs. The four steps include: (1) conversion of ontological dataset as graph model data; (2) query from graph model data; (3) transformation of text-based results in XML serialisation format into a graphical form; and (4) display of results to the user via a graphical user interface (GUI). Ontological data for plants and samples of trees and shrubs were used as the dataset to demonstrate how plant-based data could be integrated into the proposed data visualisation.ResultsA visualisation system named plant visualisation system was developed. This system provides a GUI that enables users to perform the query process, as well as a graphical viewer to display the results of the query in the form of a network graph. The efficiency of the developed visualisation system was measured by performing two types of user evaluations: a usability heuristics evaluation, and a query and visualisation evaluation.DiscussionThe relationships between the data were visualised, enabling the users to easily infer the knowledge and correlations between data. The results from the user evaluation show that the proposed visualisation system is suitable for both expert and novice users, with or without computer skills. This technique demonstrates the practicability of using a computer assisted-tool by providing cognitive analysis for understanding relationships between data. Therefore, the results benefit not only botanists, but also novice users, especially those that are interested to know more about plants.

Peer review of a dental curriculum: how one school did it

1976 ◽  
Vol 40 (11) ◽  
pp. 761-762
Author(s):  
PK Morse ◽  
TR Dirksen
Keyword(s):  
Peer Review ◽  
Dental Curriculum

Pilot Plant Data for Synthetic Iron Oxides

1952 ◽  
Vol 44 (3) ◽  
pp. 449-449
Author(s):  
C DeWitt ◽  
M Livingood ◽  
K Miller
Keyword(s):  
Iron Oxides ◽  
Pilot Plant ◽  
Plant Data

An empirical review of gambling expansion and gambling-related harm

2018 ◽  
Vol 64 (5-6) ◽  
pp. 295-306 ◽  
Author(s):  
Debi A. LaPlante ◽  
Heather M. Gray ◽  
Pat M. Williams ◽  
Sarah E. Nelson
Keyword(s):  
Literature Review ◽  
Peer Review ◽  
Empirical Data ◽  
Empirical Studies ◽  
Expansion Method ◽  
Responsible Gambling ◽  
Review Literature ◽  
Evidence Based ◽  
Empirical Comparison ◽  
Related Harm

Abstract. Aims: To discuss and review the latest research related to gambling expansion. Method: We completed a literature review and empirical comparison of peer reviewed findings related to gambling expansion and subsequent gambling-related changes among the population. Results: Although gambling expansion is associated with changes in gambling and gambling-related problems, empirical studies suggest that these effects are mixed and the available literature is limited. For example, the peer review literature suggests that most post-expansion gambling outcomes (i. e., 22 of 34 possible expansion outcomes; 64.7 %) indicate no observable change or a decrease in gambling outcomes, and a minority (i. e., 12 of 34 possible expansion outcomes; 35.3 %) indicate an increase in gambling outcomes. Conclusions: Empirical data related to gambling expansion suggests that its effects are more complex than frequently considered; however, evidence-based intervention might help prepare jurisdictions to deal with potential consequences. Jurisdictions can develop and evaluate responsible gambling programs to try to mitigate the impacts of expanded gambling.

A retrospective analysis of peer review at Physiologia Plantarum

1994 ◽  
Vol 92 (4) ◽  
pp. 535-542 ◽  
Author(s):  
Terence M. Murphy ◽  
Jessica M. Utts
Keyword(s):  
Peer Review ◽  
Retrospective Analysis
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