Team Member Names: Laura Dukowski, Terry LeBlanc, Craig MacEachern                School of Information Management, Librar...
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2011 Elsevier WebApp Concept Design Competition: Snippets (2nd Place)


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Team: Laura Dukowski, Terry LeBlanc, Craig MacEachern
Date: October 25, 2011
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Published in: Education, Technology
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2011 Elsevier WebApp Concept Design Competition: Snippets (2nd Place)

  1. 1. Team Member Names: Laura Dukowski, Terry LeBlanc, Craig MacEachern School of Information Management, Library and Information Studies, Dalhousie University, Halifax, Canada Value for Users Application Description Target user group: Academic researchers collaborating on DataSnippets allows users to extract and share small portions of a single project. Snippets will be drawing data from user input and automatichyperlinked article content during the collaborative research •Keeps track of key article points; metadata extraction. User input will be limited to the choice ofprocess. These pieces of extracted text will hereafter be •Provides easy access to the source and context of the citation styles from the drop-down menu in the application, andreferred to as “snippets”. As the user highlights and extracts snippets; highlighting snippets from the article using the snippet-tool.article text, the snippets will appear on a clipboard feature, Export the snippets by clicking on the Google Documentsunder a citation listing for the corresponding article. Each •Saves time by eliminating the need to scroll through export button, which will be prompted by a pop-up window tosnippet will be hyperlinked to the Elsevier article in which it marked-up full text articles during research compilation; enter their username, password, and a filename.The developersappears. As the user extracts snippets from subsequent articles, m •Allows efficient sharing of user-identified key article of the application will need to be able to automatically harvestthese snippets will continue to appear on the clipboard. When points and article links. metadata from the articles. Developers could look tothe user wishes to end the research session, s/he may export applications like Cite Me! which already make use of the samethe contents of the clipboard to Google docs. The resulting file API calls to ScienceDirect that we would be using. The order ofuploaded to Google docs will contain the ordered list of Integration with article the metadata will depend on which formatting style is selected,snippets, retaining the hyperlinks to their corresponding but we would need the following metadata (if available):Elsevier articles. From Google docs, researchers will have the author(s), year published, title of article, journal name, volume,freedom to share key article points with colleagues and link issue, pages inclusive, digital object identifier (DOI).directly to the full text article quickly. Similar Applications Scivernote is the most similar application to Snippets, but lacks Snippets’ major features and exports to Evernote instead of Workflow Google Documents. Snippets allows extraction of highlighted text, and corresponding metadata. Scivernote exports parts of the article but not the passages that you want to use from the article. Snippet users may choose a formatting style prior to Click scissors Highlight desired text exporting their clipboard contents. Finally, Snippets allows icon to activate exporting to Google Documents; superior for sharing and editing than Evernote. The Cite Me! allows you to create a copy-and-paste bibliographic entry of the article you are viewing in either APA, AMA, MLA but does not copy Format styles highlighted text and hyperlink it to the corresponding article;Browse more articles Snippets move to nor does it export. Snippets has an integrated drop-down bar clipboard Article citation that allows you to choose any of the Cite Me! formatting, plus it allows you to save and hyperlink the highlighted passages, Snippets and export the entire list to Google Documents. Browsing complete Export to Google Docs APIs Snippet-mode To capture the metadata needed for export to Google Documents we will be using data pulled from the article using the SciVerse ScienceDirect API. To export the snippets we will be using the Export Google Documents List API.