SOCR HTML5 InteractivePubsMappingProject
Contents
SOCR Project - SOCR Interactive Publications Mapping Project
Project goals
The goal of this project is to design a new dynamic visualization tool that provides an interactive mechanism for traversing, exploring, mapping, parsing and viewing SOCR Publications. The meta-data about SOCR publications will be automatically retrieved from PMC, or Scholar, and the HTML interface will be platform- and browser-independent, implemented using HTML5/JavaScript/JQuery technologies.
Project Description
- Review the listings of the SOCR Pubs1, Pubs2, PMC and Scholar publications.
- Design a method to automatically retrieve the SOCR Publications, parse the authors, titles, years, journals and URLs. Note that only PMC provides an API for machine consumption of publications meta-data. Start with the PMC API first.
- Review the D3 framework and its many examples.
- See this Publications mapping example. Note that this demonstration uses a Django app back-end, which makes it impractical for our use. The SOCR Publications webapp needs to run on the client machine.
- Demonstrate you can pull publications meta-data (from PMC) using "SOCR" or "statistics online computational resource" keywords/search-phrases.
- then demonstrate you can parse the publication citation meta-data (e.g., author(s), year, journal, URL, etc.)
- Design a clever mapping UI that allows the user to interactively search, filter, group, sort, view pubs by year, (co)author, journal, topic, etc.
- Make sure this infrastructure can be easily extended for any other project.
See also
- A publications mapping example and it's sparse documentation.
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