For what reasons do academics follow one another on Twitter? Robert Jäschke, Stephanie B. Linek and Christian P. Hoffmann analysed the Twitter activity of computer scientists and found that while the quality of information provided by a Twitter account is a key motive for following academic colleagues, there is also evidence of a career planning motive. As well as there being reciprocal following between users of the same academic status (except, remarkably, between PhD researchers), a form of strategic politeness can be observed whereby users follow those of higher academic status without necessarily being followed back. The emerging academic public sphere facilitated by Twitter is largely shaped by dynamics and hierarchies all too familiar to researchers struggling to plot their careers in academia.
Auf der Plattform handbuch.io des Open Science Lab der TIB Hannover schrieben vor und während der CeBIT 2014 in einem Book Sprint 15 eingeladene Expertinnen und Experten, viele davon aus dem Leibniz Forschungsverbund Science 2.0, das Handbuch CoScience - Gemeinsam forschen und publizieren mit dem Netz.
Auf der Plattform handbuch.io des Open Science Lab der TIB Hannover schrieben vor und während der CeBIT 2014 in einem Book Sprint 15 eingeladene Expertinnen und Experten, viele davon aus dem Leibniz Forschungsverbund Science 2.0, das Handbuch CoScience - Gemeinsam forschen und publizieren mit dem Netz.
Alf Eaton stellt in HubLog ein Skript vor, daß er für Google Texte & Tabellen (kurz Google Docs) geschrieben hat. Nach Installation des Skripts innerhalb der Google-Dienste durchsucht es auf Anforderung ein Dokument nach DOIs, ermittelt anhand dieser DOIs gleichförmig aufgebaute, gut lesbare Quellenangaben, erstellt aus diesen Quellenangaben eine Bibliographie im Anhang des Dokuments, und…
The myExperiment Virtual Research Environment enables you and your colleagues to share digital items associated with your research — in particular it enables you to share and execute scientific workflows.
Coping with the deluge of information is a major challenge for students, scholars, librarians and the general public. After all, with thousands of online newspapers, blogs, and academic journals, Google Books digitizing millions of titles, massive amounts of information coming online each day, major innovations in content management, and the ubiquitous impact of e-mail, YouTube, Facebook, Twitter and other new technologies, we find ourselves awash in petabytes of information of widely varying quality.
Vast improvements in raw computing power, storage capacity, algorithms, and networking capabilities have led to fundamental scientific discoveries inspired by a new generation of computational models . . .Powerful 'data mining' techniques operating across