Language: JavaScript


/ forestr | Interactive forest plots

Forestr is an online platform for interactive visualisations of forest plots.

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/ PDF annotation | Coding and extracting data from PDFs

Extraction of content from articles, also known as coding, is an important part of evidence synthesis, especially for meta-analysis that require coding of multiple predefined parameters that are to be extracted from articles. This task is usually tedious therefore multiple people, potentially including external helpers may involve in coding. Software tools that assist efficient content extraction and also enable indexing of extracted context against the field labels, are highly desirable. The most significant barrier against such tools is that the majority of the articles are available in pdf format, because contents in pdf files are embedded in highly abstract and protected manner. The main contribution of the prototype is accessing contents in pdf articles selectively. The tool is built around ReactJS JavaScript framework, therefore suitable for deploying in a local virtual web-server in a desktop environment or in a centrally hosted web-server, as a web application. This application takes in a CSV file with fields to be extracted as headers and loads pdf files from a server folder. Then the coding can be performed using a right-click menu that brings up list of fields, and then saves the fields, selected contents / values on in the pdf and any user comments back to the CSV file as a new raw per single pdf.

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/ Integration & Research Weaving | Developing the ICASR Integration Engine

Automation tools are speeding up the conduct of evidence synthesis. However, the uptake of these tools amongst reviewers are slow. Potential barriers to use are; 1) the tools often operate in isolation, 2) reviewers need to manipulate their citation data into a specific format to use the tool, and 3) different tools require different levels of programming or computing expertise.

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/ ROSES | A website to support reporting of systematic evidence syntheses

The ROSES forms were developed to improve the standards of evidence synthesis reporting and the transparency of the methods used for reviews and maps. The website (www.roses-reporting.com) aims to help adoption of the ROSES forms as well as improve the barrier to entry on using the ROSES forms in the least obtrusive way possible. In this project we’ve been working to improve the user experience, increasing efficiency and helping reviewers get the most out of the forms and website. We will be releasing the new version of the ROSES website shortly.

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/ Thallo Evidence Mapping | A Jekyll Theme for Dataset Visualisation

This project provides an easy-to-use template for web visualisations of environmental evidence maps. Thalloo is a combination of map components and a Jekyll theme that enable quick, simple, and customisable deployment of a web-based tool to display evidence maps. The framework has the following features: i) Visual clustering and display of categorical data. Given a display category (e.g. crop, commodity), and a custom colour palette, points are displayed on a map. Depending on the zoom level and extent, points are clustered dynamically for best display. Any cluster can be selected to see the full metadata about the evidence points it contains; ii) Filtering. Data can be filtered by property in real time, using multiple filters within a property, and using multiple properties to filter; iii) Slicing of dimensionality. Given continuous data (e.g. publication year, time, or an effect size), the map allows real time ‘slicing’ of the dataset along one or many dimensions; iv) Abstract and funding logos. Provide attribution to your funders and partner institutions by including their logos at the top of your map view.

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