2 research outputs found

    Who are we talking about? Identifying scientific populations online

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    In this paper, we begin to address the question of which scientists are online. Prior studies have shown that Web users are only a segmented reflection of the actual off-line population, and thus when studying online behaviors we need to be explicit about the representativeness of the sample under study to accurately relate trends to populations. When studying social phenomena on the Web, the identification of individuals is essential to be able to generalize about specific segments of a population off-line. Specifically, we present a method for assessing the online activity of a known set of actors. The method is tailored to the domain of science. We apply the method to a population of Dutch computer scientists and their coauthors. The results when combined with metadata of the set provide insights into the representativeness of the sample of interest. The study results show that scientists of above-average tenure and performance are overrepresented online, suggesting that when studying online behaviors of scientists we are commenting specifically on the behaviors of above-average-performing scientists. Given this finding, metrics of Web behaviors of science may provide a key tool for measuring knowledge production and innovation at a faster rate than traditional delayed bibliometric studies

    Who learns from whom? Supporting users and developers of a major biodiversity e-infrastructure

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    Abstract. Support systems play an important role for the communication between users and developers of software. We studied two support systems, an issues tracker and an email service available for Scratchpads, a Web 2.0 social networking tool that enables communities to build, share, manage and publish biodiversity information on the Web. Our aim was to identify co-learning opportunities between users and developers of the Scratchpad system by asking which support system was used by whom and for what type of questions. Our results show that issues tracker and emails cater to different user mentalities as well as different kind of questions and suggest ways to improve the support system as part of the development under the EU funded ViBRANT programme
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