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Altmetrics: a manifesto

Altmetrics: a manifesto
No one can read everything. We rely on filters to make sense of the scholarly literature, but the narrow, traditional filters are being swamped. However, the growth of new, online scholarly tools allows us to make new filters; these altmetrics reflect the broad, rapid impact of scholarship in this burgeoning ecosystem. We call for more tools and research based on altmetrics. As the volume of academic literature explodes, scholars rely on filters to select the most relevant and significant sources from the rest. Unfortunately, scholarship’s three main filters for importance are failing:

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JuxtaposeJS - Knight Lab Projects What it does JuxtaposeJS helps journalists tell stories by comparing two frames, including photos and gifs. It’s an adaptable storytelling tool that is ideal for highlighting then/now stories that explain slow changes over time (growth of a city skyline, regrowth of a forest, etc.) or before/after stories that show the impact of single dramatic events (natural disasters, protests, wars, etc.). By way of example, look at the change Sochi underwent between 2005 and 2013: JuxtaposeJS is free, easy to use, and open source. What’s the “problem” with MOOCs? « EdTechDev In case the quotes didn’t clue you in, this post doesn’t argue against massive open online courses (MOOCs) such as the ones offered by Udacity, Coursera, and edX. I think they are very worthy ventures and will serve to progress our system of higher education. I do however agree with some criticisms of these courses, and that there is room for much more progress.

Data visualization should be elegant, not beautiful The Excel Charts Blog I’ll assume that you are not paid for your artistic skills. You’re a mere mortal in a corporate environment, trying to make sense of your data and making rational decisions if possible. You make charts all the time, but you don’t really know if this new “data visualization” is the same thing with a pompous name or is something bigger and more complex. Perhaps you could start with a quick image search in Google for “data visualization“. Generation 4 The project has now completed. The final report is available from the bottom of the page. Overview St George’s, University of London delivers a Problem-based learning curriculum for its undergraduate medicine course, which is paper–based, linear and inflexible. The aim of this project is to use recently-developed technologies to assist in the creation of a more interactive and integrated model for curriculum delivery in medicine. This will include interactive patient cases which provide students with the opportunity to make realistic decisions and explore the consequences of their actions.

Komodo IDE/Edit Documentation History Manual General Use Base Editor Envisioning the Post-LMS Era: The Open Learning Network (EDUCAUSE Quarterly Key Takeaways Although central to the business of higher education, the LMS has also become a symbol of the status quo that supports administrative functions more effectively than teaching and learning activities. Personal learning environments offer an alternative, but with their own limitations. An open learning network helps bridge the gap between the PLE and the LMS, combining the best elements of each approach. The initial implementation of an OLN at Brigham Young University represents a new learning platform model in higher education.

10 Big Data Sites to Watch - By Gil Press As Uri Friedman points out in his Anthropology of an Idea on "Big Data" in Foreign Policy's November issue, the Internet has sparked an information explosion -- to the point where the amount of new data created last year alone surpassed an estimated 1.8 trillion gigabytes, growing by a factor of nine in just five years. But while Web-based household names such as Facebook and Google may have pioneered the Big Data revolution by developing new technologies to help store, process, and mine the trillions of bits making up the foundation of their businesses, numerous startups and established technology companies have followed in their footsteps and discovered new ways of mining data. After surveying a number of data scientists about their favorite Internet destinations and excluding websites of companies developing and selling Big Data technologies, I've selected ten sites that explore this information revolution in interesting and innovative ways.

e-Learning Unit (ELU), St. George's University of London, UK Here in the e-Learning Unit we use two different VP authoring systems: VUE and Labyrinth Visual Understanding Environment (VUE) is an open source software tool developed by Tufts University. You can find out more about VUE and download it here: We use VUE to draw visual maps of the Virtual Patients, with the shapes representing the pages ('node') of the case. An example of a Virtual Patient drawn in VUE: OpenLabyrinth is an open source application ( which is described as an experimental educational pathway authoring and delivery system.