An article, a CFP, and a useful site
The article, from the Public Library of Science, is this: “Clickstream Data Yields High-Resolution Maps of Science.” The authors collected “nearly 1 billion user interactions recorded by the scholarly web portals of some of the most significant publishers, aggregators and institutional consortia,” says the abstract. They proceeded to create maps that illustrate citations in the articles with which the users interacted. These maps “provide a detailed, contemporary view of scientific activity and correct the underrepresentation of the social sciences and humanities that is commonly found in citation data.” The most interesting illustration in this context is Figure 5—check out that big white and yellow cluster in the center. It’s worth the load time to view the larger image.
The CFP is for the next annual meeting of the Text Encoding Initiative Consortium. This year’s theme is text encoding in the era of mass digitization. The the first three suggested topics are conceptually larger than TEI, and are intriguing: In-depth encoding vs. mass digitization; Is text encoding sustainable?; Is text encoding scalable? People are bound to talk about crowdsourcing metadata, which I think is the only hope we have of scaling semantic encoding. (The quality control issues, which are the first concern that usually arises when people talk about collaborative knowledge work, are real. But there are ways to deal with them, and data that can be corrected may well be better than no data at all.)
The site I came across today is FairShare. It allows people to track how their online publications are used and/or remixed. Haven’t played with it yet, but it looks promising, particularly in the context of an institutional repository. Imagine a researcher depositing an article, pointing FairShare at it and seeing others respond to her work. Just the psychological boost from that is valuable in spurring future work.